---
title: "OrchestKit"
description: "106 skills, 36 agents, 171 hooks for Claude Code. Stop explaining your stack. Start shipping."
canonical: "https://orchestkit.yonyon.ai"
---

# OrchestKit

> AI development toolkit for Claude Code — 106 skills, 36 agents, 171 hooks.

## Documentation

- [Choosing an Agent](/docs/agents/choosing-an-agent): Interactive selector and complete reference for picking the right agent for any task.
- [Agents](/docs/agents): Specialist sub-agents with their own context window, tools, and system prompt.
- [Multi-Agent Patterns](/docs/agents/multi-agent-patterns): How OrchestKit orchestrates parallel agents for implementation, review, and complex workflows.
- [Agents Overview](/docs/agents/overview): 37 specialized agents -- how they activate, what they know, and when to use each.
- [Writing Agents](/docs/agents/writing-agents): Create your own specialized agent with the right model, tools, skills, and directive.
- [Analytics Dashboard](/docs/analytics): Visualize your Claude Code usage — model delegation, token costs, agent performance, and session trends.
- [Changelog](/docs/changelog): All notable changes to OrchestKit, following Keep a Changelog and Semantic Versioning.
- [Claude Design → PR](/docs/cookbook/claude-design-handoff): Turn a claude.ai/design handoff bundle into a reviewable GitHub PR with one command — the closed-loop pipeline from design exploration to production code.
- [Create a Demo Video](/docs/cookbook/create-demo-video): From script to polished video with AI-powered production.
- [Fix a GitHub Issue](/docs/cookbook/fix-github-issue): From issue to PR in one command with root cause analysis, memory-powered investigation, and auto-linked pull requests.
- [Implement a Feature](/docs/cookbook/implement-feature): From idea to merged PR with parallel AI agents — a complete walkthrough of the /ork:implement workflow.
- [Cookbook](/docs/cookbook): Step-by-step workflow walkthroughs for common development tasks with OrchestKit.
- [Review a Pull Request](/docs/cookbook/review-pr): AI-powered code review with 6 parallel specialized agents that catch security, performance, and quality issues.
- [Run a Security Audit](/docs/cookbook/security-audit): 8-layer defense-in-depth verification for your codebase.
- [Set Up Cross-Session Memory](/docs/cookbook/setup-memory): Persist decisions, patterns, and context across conversations.
- [Task Management Patterns](/docs/cookbook/task-management): Track complex work with TaskCreate, TaskUpdate, and dependency chains — from single-phase tasks to multi-agent coordination.
- [Agent Attribution](/docs/foundations/agent-attribution): Automatic tracking of which sub-agents contributed to each branch, with attribution in commit messages and PR bodies.
- [Plugin Architecture](/docs/foundations/choosing-a-plugin): OrchestKit ships as one unified plugin — everything loads on-demand with zero overhead.
- [Foundations](/docs/foundations): The core concepts behind OrchestKit — skills, agents, hooks, and how they compose.
- [MCP Servers](/docs/foundations/mcp-servers): External tool integrations that give agents web search, component registries, design extraction, and more.
- [What is OrchestKit?](/docs/foundations/overview): The complete AI development toolkit for Claude Code — 106 skills, 36 agents, 171 hooks working together.
- [The 3 Building Blocks](/docs/foundations/skills-agents-hooks): Skills are knowledge, agents are specialists, hooks are automation. Here's how they work together.
- [Configuration](/docs/getting-started/configuration): Environment variables, MCP servers, and memory tier setup.
- [Your First 10 Minutes](/docs/getting-started/first-10-minutes): From install to your first AI-assisted commit — a guided walkthrough.
- [Getting Started](/docs/getting-started): Install OrchestKit, run your first workflow, and learn how the pieces fit together.
- [Installation](/docs/getting-started/installation): Install OrchestKit in Claude Code, Cursor, or any agent via skills.sh.
- [Find What You Need](/docs/getting-started/navigating): Hub-and-spoke navigation — find the right skills and agents for your role and task.
- [OrchestKit vs Superpowers](/docs/getting-started/superpowers): Superpowers is Anthropic's official process plugin. OrchestKit is production patterns plus lifecycle hooks. Complementary, not a rival listing.
- [AskUserQuestion picker fallback (ORK_ASK_FALLBACK=text)](/docs/guides/ask-fallback): Text-prompt fallback for when the Claude Code AskUserQuestion picker stalls or otherwise refuses keystrokes.
- [How we adopt every Claude Code release](/docs/guides/cc-adoption): The automated pipeline that turns each upstream Claude Code release into scored adoption issues, a support-floor bump, and an interactive wave dashboard.
- [Claude Fable 5 with OrchestKit](/docs/guides/claude-fable-5): How OrchestKit supports Claude Fable 5: correct pricing, a spend-consent gate for agent pins, advisor warnings, and the deliberate opt-in path (ORK_FABLE_OK).
- [Guides](/docs/guides): Longer-form walkthroughs for specific stacks and adoption topics.
- [Using OrchestKit with Next.js](/docs/guides/orchestkit-with-nextjs): How OrchestKit's skills, agents, and hooks apply to a Next.js / React codebase — installation, which components activate, and real workflows.
- [Using OrchestKit with Python and FastAPI](/docs/guides/orchestkit-with-python-fastapi): How OrchestKit applies to a Python backend — async patterns, SQLAlchemy, migrations, and the typed hook contract on PyPI.
- [Hook Architecture](/docs/hooks/architecture): How OrchestKit's 171-hook system works: bundles, dispatchers, execution modes, and the stop pipeline.
- [Hooks](/docs/hooks): Deterministic TypeScript checks that run around every tool call.
- [Session Start to Stop](/docs/hooks/lifecycle-hooks): How OrchestKit manages the full session lifecycle -- from environment setup and context loading through metrics, compaction, and fire-and-forget cleanup.
- [Memory Bridge and Context Injection](/docs/hooks/memory-hooks): How OrchestKit injects past decisions into every prompt, captures new decisions automatically, and syncs memory across sessions through the knowledge graph.
- [171 Hooks: What Fires When](/docs/hooks/overview): TypeScript functions that intercept every Claude Code lifecycle event -- blocking dangerous commands, injecting context, and syncing memory, all invisibly.
- [Security Gates and File Guards](/docs/hooks/safety-hooks): How OrchestKit blocks dangerous commands, protects sensitive files, and auto-approves safe operations -- the defense-in-depth hooks that run before every tool use.
- [Create Your Own Hook](/docs/hooks/writing-hooks): Step-by-step guide to writing, registering, building, and testing a custom OrchestKit hook -- from TypeScript types to esbuild bundles.
- [Graph Memory (Primary)](/docs/memory/graph-memory): The zero-config knowledge graph that stores entities and typed relations as OrchestKit's primary memory tier.
- [Memory](/docs/memory): How OrchestKit persists decisions and context across sessions.
- [Local Session Persistence](/docs/memory/local-memory): How .claude/memory/ JSONL files provide offline-first durability, queue management, and session backup for OrchestKit memory.
- [Auto-Sync to MEMORY.md](/docs/memory/native-cc-memory): How OrchestKit auto-promotes high-confidence decisions to Claude Code's native MEMORY.md, ensuring they survive plugin removal.
- [3-Tier Memory Architecture](/docs/memory/overview): How OrchestKit persists decisions, patterns, and context across sessions using a layered memory system.
- [Reference](/docs/reference): Complete reference for all 106 skills, 36 agents, and 171 hooks.
- [Showcase](/docs/showcase): What OrchestKit produces — pipeline runs and generated visual experiments.
- [Pipeline Gallery](/docs/showcase/pipeline): Before/after showcase of the design-to-code pipeline in action
- [18 Commands You Can Invoke](/docs/skills/command-skills): Every /ork:X command skill in OrchestKit -- grouped by category with descriptions and usage examples.
- [Skill Dependency Graph](/docs/skills/dependency-graph): Interactive visualization of how OrchestKit's 106 skills connect through dependency relationships.
- [Skills](/docs/skills): Reusable capability modules that teach Claude Code a workflow once and reuse it every session.
- [How Skills Work](/docs/skills/overview): Skills are reusable knowledge modules -- SKILL.md files with optional references -- that OrchestKit injects into agent context so Claude knows the right patterns for the task at hand.
- [Reference Skills](/docs/skills/reference-skills): The 71 user-invocable:false skills auto-injected into agent context — the knowledge library behind OrchestKit agents.
- [Composing Skills Into Workflows](/docs/skills/skill-composition): How command skills, reference skills, hooks, and agents combine to form intelligent workflows -- and when to use each composition pattern.
- [Create Your Own SKILL.md](/docs/skills/writing-skills): Step-by-step guide to writing custom skills -- frontmatter template, best practices, directory structure, and testing with npm run test:skills.
- [FAQ](/docs/troubleshooting/faq): Frequently asked questions about OrchestKit.
- [Hook Debugging](/docs/troubleshooting/hook-debugging): How to diagnose and fix hook execution issues.
- [Troubleshooting](/docs/troubleshooting): Solutions for the 10 most common OrchestKit issues.
- [AI Engineer](/docs/cookbook/roles/ai-engineer): OrchestKit toolkit for AI engineers
- [Backend Developer](/docs/cookbook/roles/backend-developer): OrchestKit toolkit for backend developers
- [DevOps Engineer](/docs/cookbook/roles/devops-engineer): OrchestKit toolkit for DevOps engineers
- [Frontend Developer](/docs/cookbook/roles/frontend-developer): OrchestKit toolkit for frontend developers
- [Security Engineer](/docs/cookbook/roles/security-engineer): OrchestKit toolkit for security engineers
- [Tech Lead](/docs/cookbook/roles/tech-lead): OrchestKit toolkit for tech leads
- [Block Writes](/docs/hooks/spotlights/block-writes): Enforces read-only boundaries for investigation and review agents
- [Dangerous Command Blocker](/docs/hooks/spotlights/dangerous-command-blocker): Blocks catastrophic shell commands before they execute
- [File Guard](/docs/hooks/spotlights/file-guard): Protects sensitive files and enforces file size limits on writes
- [Memory Validator](/docs/hooks/spotlights/memory-validator): Validates MCP memory operations to prevent accidental data loss
- [Pattern Consistency Enforcer](/docs/hooks/spotlights/pattern-consistency-enforcer): The only skill-scoped hook --- enforces established code patterns during review
- [Stop Pipeline](/docs/hooks/spotlights/stop-pipeline): Runs 7 cleanup hooks in a detached background process after session exit
- [Unified Advisory Dispatcher](/docs/hooks/spotlights/unified-advisory-dispatcher): Consolidates 8 advisory hooks into a single process with budget-capped context injection
- [Unified Dispatchers](/docs/hooks/spotlights/unified-dispatchers): How one hooks.json entry fans out to many internal hooks across 7 events
- [ConfigChange](/docs/reference/hooks/config-change): Hooks triggered on ConfigChange events (2 hooks).
- [CwdChanged](/docs/reference/hooks/cwd-changed): Hooks triggered on CwdChanged events (2 hooks).
- [DirectoryAdded](/docs/reference/hooks/directory-added): Hooks triggered on DirectoryAdded events (1 hooks).
- [ElicitationResult](/docs/reference/hooks/elicitation-result): Hooks triggered on ElicitationResult events (2 hooks).
- [Elicitation](/docs/reference/hooks/elicitation): Hooks triggered on Elicitation events (2 hooks).
- [FileChanged](/docs/reference/hooks/file-changed): Hooks triggered on FileChanged events (2 hooks).
- [Hooks Reference](/docs/reference/hooks): Complete reference for all 150 global lifecycle hook entries across 30 event categories.
- [InstructionsLoaded](/docs/reference/hooks/instructions-loaded): Hooks triggered on InstructionsLoaded events (2 hooks).
- [MessageDisplay](/docs/reference/hooks/message-display): Hooks triggered on MessageDisplay events (1 hooks).
- [Notification](/docs/reference/hooks/notification): Hooks triggered on Notification events (3 hooks).
- [PermissionDenied](/docs/reference/hooks/permission-denied): Hooks triggered on PermissionDenied events (2 hooks).
- [PermissionRequest](/docs/reference/hooks/permission-request): Hooks triggered on PermissionRequest events (4 hooks).
- [PostCompact](/docs/reference/hooks/post-compact): Hooks triggered on PostCompact events (2 hooks).
- [PostToolBatch](/docs/reference/hooks/post-tool-batch): Hooks triggered on PostToolBatch events (1 hooks).
- [PostToolUseFailure](/docs/reference/hooks/post-tool-use-failure): Hooks triggered on PostToolUseFailure events (2 hooks).
- [PostToolUse](/docs/reference/hooks/post-tool-use): Hooks triggered on PostToolUse events (28 hooks).
- [PreCompact](/docs/reference/hooks/pre-compact): Hooks triggered on PreCompact events (4 hooks).
- [PreToolUse](/docs/reference/hooks/pre-tool-use): Hooks triggered on PreToolUse events (23 hooks).
- [SessionEnd](/docs/reference/hooks/session-end): Hooks triggered on SessionEnd events (7 hooks).
- [SessionStart](/docs/reference/hooks/session-start): Hooks triggered on SessionStart events (20 hooks).
- [Setup](/docs/reference/hooks/setup): Hooks triggered on Setup events (2 hooks).
- [StopFailure](/docs/reference/hooks/stop-failure): Hooks triggered on StopFailure events (2 hooks).
- [Stop](/docs/reference/hooks/stop): Hooks triggered on Stop events (12 hooks).
- [SubagentStart](/docs/reference/hooks/subagent-start): Hooks triggered on SubagentStart events (3 hooks).
- [SubagentStop](/docs/reference/hooks/subagent-stop): Hooks triggered on SubagentStop events (6 hooks).
- [TaskCompleted](/docs/reference/hooks/task-completed): Hooks triggered on TaskCompleted events (2 hooks).
- [TaskCreated](/docs/reference/hooks/task-created): Hooks triggered on TaskCreated events (2 hooks).
- [TeammateIdle](/docs/reference/hooks/teammate-idle): Hooks triggered on TeammateIdle events (4 hooks).
- [UserPromptExpansion](/docs/reference/hooks/user-prompt-expansion): Hooks triggered on UserPromptExpansion events (1 hooks).
- [UserPromptSubmit](/docs/reference/hooks/user-prompt-submit): Hooks triggered on UserPromptSubmit events (5 hooks).
- [WorktreeRemove](/docs/reference/hooks/worktree-remove): Hooks triggered on WorktreeRemove events (1 hooks).
- [Accessibility Specialist](/docs/reference/agents/accessibility-specialist): Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing
- [Ai Safety Auditor](/docs/reference/agents/ai-safety-auditor): AI safety and security auditor for LLM systems. Red teaming, prompt injection, jailbreak testing, guardrail validation, and OWASP LLM compliance
- [Backend System Architect](/docs/reference/agents/backend-system-architect): Backend architect: REST/GraphQL APIs, database schemas, microservice boundaries, distributed systems, clean architecture
- [Ci Cd Engineer](/docs/reference/agents/ci-cd-engineer): CI/CD specialist: GitHub Actions, GitLab CI pipelines, deployment automation, build optimization, caching, security scanning
- [Claude Design Orchestrator](/docs/reference/agents/claude-design-orchestrator): Parses claude.ai/design handoff bundles: validates schema, dedups proposed components against the codebase via component-search, reconciles tokens, and tracks bundle→PR provenance so design intent stays linked to shipped code
- [Code Quality Reviewer](/docs/reference/agents/code-quality-reviewer): Code quality reviewer: bug detection, security vulnerabilities, performance issues, linting, type checking, test coverage
- [Component Curator](/docs/reference/agents/component-curator): Component library curator: audits project component usage, searches 21st.dev registry for alternatives, tracks component freshness, and recommends upgrades for design consistency
- [Data Pipeline Engineer](/docs/reference/agents/data-pipeline-engineer): Data pipeline specialist: embeddings, chunking strategies, vector indexes, data transformation for AI consumption
- [Database Engineer](/docs/reference/agents/database-engineer): PostgreSQL specialist: schema design, migrations, query optimization, pgvector/full-text search, Alembic migrations
- [Debug Investigator](/docs/reference/agents/debug-investigator): Debug specialist: systematic root cause analysis, execution path tracing, log and stack trace analysis
- [Demo Producer](/docs/reference/agents/demo-producer): Universal demo video producer that creates polished marketing videos for any content - skills, agents, plugins, tutorials, CLI tools, or code walkthroughs. Uses VHS terminal recording and Remotion composition
- [Deployment Manager](/docs/reference/agents/deployment-manager): Deployment specialist: production releases, rollback procedures, feature flags, blue-green/zero-downtime deployments
- [Design Context Extractor](/docs/reference/agents/design-context-extractor): Design context extraction: analyzes screenshots, URLs, or live apps to extract color palettes, typography, spacing, and component patterns as structured design tokens
- [Design System Architect](/docs/reference/agents/design-system-architect): Design system architect: token hierarchies, theming strategies, component library design, Figma-to-code pipelines, and design governance
- [Emulate Engineer](/docs/reference/agents/emulate-engineer): Stateful API emulation via Vercel emulate. Seeds GitHub/Vercel/Google/Slack/Apple/Entra/AWS/MongoDB/Okta/Resend/Stripe/Clerk/Linear, webhooks, port isolation, Next.js adapter. Use to replace flaky API mocks
- [Eval Runner](/docs/reference/agents/eval-runner): LLM evaluation specialist who runs structured eval datasets, computes quality metrics using DeepEval/RAGAS, tracks regression across model versions, and reports to Langfuse for tracing and scoring
- [Event Driven Architect](/docs/reference/agents/event-driven-architect): Event-driven architecture specialist who designs event sourcing systems, message queue topologies, and CQRS patterns. Focuses on Kafka, RabbitMQ, Redis Streams, FastStream, outbox pattern, and distributed transaction patterns
- [Expect Agent](/docs/reference/agents/expect-agent): Browser test execution: runs diff-aware test plans via agent-browser with ARIA selectors, status protocol, and 6-category failure classification
- [Frontend Performance Engineer](/docs/reference/agents/frontend-performance-engineer): Performance engineer who optimizes Core Web Vitals, analyzes bundles, profiles render performance, and sets up RUM
- [Frontend Ui Developer](/docs/reference/agents/frontend-ui-developer): Frontend developer: React 19/TypeScript components, optimistic updates, Zod-validated APIs, design system tokens, animation/motion, modern 2026 patterns
- [Genui Architect](/docs/reference/agents/genui-architect): Generative UI and json-render catalog specialist. Designs Zod-typed catalogs, selects shadcn components, constrains props for AI safety
- [Git Operations Engineer](/docs/reference/agents/git-operations-engineer): Git operations: branch management, rebases, merges, stacked PRs, recovery operations, clean commit history
- [Agents Reference](/docs/reference/agents): Complete reference for all 36 OrchestKit agents.
- [Infrastructure Architect](/docs/reference/agents/infrastructure-architect): Infrastructure as Code specialist who designs Terraform modules, Kubernetes manifests, and cloud architecture. Focuses on AWS/GCP/Azure patterns, networking, security groups, and cost optimization
- [Llm Integrator](/docs/reference/agents/llm-integrator): LLM integration: OpenAI/Anthropic/Ollama APIs, prompt templates, function calling, streaming, token cost optimization
- [Market Intelligence](/docs/reference/agents/market-intelligence): Market research: competitive landscapes, market trends, TAM/SAM/SOM sizing, threat/opportunity analysis
- [Monitoring Engineer](/docs/reference/agents/monitoring-engineer): Observability and monitoring specialist. Prometheus metrics, Grafana dashboards, alerting rules, distributed tracing, log aggregation, and SLOs/SLIs
- [Multimodal Specialist](/docs/reference/agents/multimodal-specialist): Vision, audio, image and video generation, and multimodal processing specialist. Integrates Claude Opus 4.8, GPT-5, Gemini 2.5/3, GPT Image 2, Nano Banana Pro, Kling 3.0, Sora 2 and Veo 3.1 for analysis, generation, transcription and multimodal RAG
- [Product Strategist](/docs/reference/agents/product-strategist): Product strategist: value proposition validation, feature-business alignment, build/buy/partner decisions, go/no-go
- [Python Performance Engineer](/docs/reference/agents/python-performance-engineer): Python performance: profiling, memory optimization, async performance, database query optimization, caching, load testing
- [Release Engineer](/docs/reference/agents/release-engineer): Release and versioning specialist who manages GitHub releases, milestones, changelogs, and semantic versioning. Handles release automation and project tracking
- [Security Auditor](/docs/reference/agents/security-auditor): Security auditor: vulnerability scanning, dependency audits, OWASP Top 10 compliance, secrets detection, remediation
- [Security Layer Auditor](/docs/reference/agents/security-layer-auditor): Security layer auditor who verifies defense-in-depth implementation across 8 security layers, from edge to storage, ensuring comprehensive protection
- [System Design Reviewer](/docs/reference/agents/system-design-reviewer): System design reviewer who evaluates implementation plans against scale, data, security, UX, and coherence criteria before code is written
- [Test Generator](/docs/reference/agents/test-generator): Test specialist: coverage gap analysis, unit/integration test generation, fixtures, API mocking (MSW), HTTP recording
- [Web Research Analyst](/docs/reference/agents/web-research-analyst): Web research: browser automation, Tavily API, competitive intelligence, documentation capture, technical recon
- [Workflow Architect](/docs/reference/agents/workflow-architect): Multi-agent workflow: LangGraph pipelines, supervisor-worker patterns, state/checkpointing, RAG orchestration
- [Case study: CC Adoption Wave Explorer](/docs/showcase/lab/adoption-waves): How an automated release-watch pipeline turns 3 Claude Code releases into 37 scored adoption issues and one interactive triage dashboard.
- [The Lab](/docs/showcase/lab): Interactive playgrounds OrchestKit generates as working artifacts — triage boards, adoption-wave explorers, and decision boards, published as-is.
- [Case study: Session Standing Board](/docs/showcase/lab/session-standing): A drag-to-triage standing board for session outcomes, with full keyboard and touch support — the accessibility reference for Lab decision boards.
- [Case study: Issue Triage Board](/docs/showcase/lab/triage-board): The entire open-issue backlog as one interactive board — 98 issues triaged in a single session instead of a week of grooming.
- [Accessibility](/docs/reference/skills/accessibility): Accessibility patterns for WCAG 2.2 compliance, keyboard focus management, React Aria component patterns, cognitive inclusion, native HTML-first philosophy, and user preference honoring. Use when implementing screen reader support, keyboard navigation, ARIA patterns, focus traps, accessible component libraries, reduced motion, or cognitive accessibility.
- [Agent Orchestration](/docs/reference/skills/agent-orchestration): Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
- [Ai Ui Generation](/docs/reference/skills/ai-ui-generation): AI-assisted UI generation patterns for json-render, v0.app, Google Stitch, Bolt Cloud, and Cursor workflows. Covers prompt engineering for component and full-stack app generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.
- [Analytics](/docs/reference/skills/analytics): Queries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model delegation trends. Privacy-safe with hashed project IDs. Supports time-range filtering and comparative analysis. Use when reviewing performance, estimating costs, or understanding usage patterns.
- [Animation Motion Design](/docs/reference/skills/animation-motion-design): Animation and motion design patterns using Motion library (formerly Framer Motion) and View Transitions API. Use when implementing component animations, page transitions, micro-interactions, gesture-driven UIs, or ensuring motion accessibility with prefers-reduced-motion.
- [Api Design](/docs/reference/skills/api-design): API contract design for REST and GraphQL, covering resource shape, URL and header versioning with deprecation windows, RFC 9457 Problem Details error handling, and OpenAPI specs. Use when specifying the wire contract an endpoint exposes, choosing a versioning scheme, or standardizing error response bodies across services. Framework-agnostic protocol layer, not runtime implementation.
- [Architecture Decision Record](/docs/reference/skills/architecture-decision-record): ADR templates in the Nygard format with context, decision, consequences, and alternatives. Use when writing ADRs, recording an architectural decision, or evaluating options.
- [Architecture Patterns](/docs/reference/skills/architecture-patterns): Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right architecture tier for project scope.
- [Assess](/docs/reference/skills/assess): Assesses and rates quality 0-10 across multiple dimensions (correctness, maintainability, security, performance, testability, simplicity) with pros/cons analysis. Compares against project conventions and prior decisions from memory. Produces structured evaluation reports with actionable improvement suggestions. Use when evaluating code, designs, architectures, or comparing alternative approaches.
- [Async Jobs](/docs/reference/skills/async-jobs): Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.
- [Audit Activation](/docs/reference/skills/audit-activation): Audits OrchestKit sub-agent activation from real spawn telemetry — computes the generic-vs-specialist spawn split, flags dormant agents (never fired), and classifies each as fires/mis-triggered/niche. The agent-side analogue of audit-skills. Use when specialized agents feel under-used, before pruning the catalog, or after wiring new agent spawn paths.
- [Audit Full](/docs/reference/skills/audit-full): Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing. Loads entire codebases for cross-file pattern detection and generates structured audit reports with severity-ranked findings. Use when you need whole-project analysis before releases or security reviews.
- [Auto](/docs/reference/skills/auto): Intent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request. Classifies a plain-English goal and routes it to the right specialist skill. Routing is never overhead, so use it even when the target skill seems obvious; skip only when already executing inside another skill (no recursion). Triggers on: auto, do this, figure out, just make, I want, help me, fix, build, improve, any goal description.
- [Bare Eval](/docs/reference/skills/bare-eval): Run isolated eval and grading calls using CC 2.1.81 --bare mode. Constructs claude -p --bare invocations for skill evaluation, trigger testing, and LLM grading without plugin/hook interference. Use when running eval pipelines, grading skill outputs, benchmarking prompt quality, or testing trigger accuracy in isolation.
- [Brainstorm](/docs/reference/skills/brainstorm): Design exploration using parallel agents through a 7-phase process: topic analysis, memory context, divergent ideation (10+ ideas), feasibility filtering, evaluation with devil's advocate scoring (0-10 across 7 dimensions), synthesis of top approaches, and trade-off comparison. Supports open exploration, constrained design, comparison, quick ideation, and iterative optimization modes. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
- [Browser Tools](/docs/reference/skills/browser-tools): Security wrapper over the upstream agent-browser skill, adding URL blocklisting, rate limiting, robots.txt enforcement, and scraping guardrails. Use when automating browser workflows that need safety limits.
- [Business Case](/docs/reference/skills/business-case): Business case analysis with ROI, NPV, IRR, payback period, and TCO calculations for investment decisions. Use when building financial justification, cost-benefit analysis, build-vs-buy comparisons, or sensitivity analysis.
- [Chain Patterns](/docs/reference/skills/chain-patterns): Chain patterns for multi-phase pipelines: MCP detection, handoff files, checkpoint-resume, worktree agents, CronCreate monitoring. Use when building or debugging a pipeline skill.
- [Ci Debug](/docs/reference/skills/ci-debug): Diagnose a failing CI run against an 11-pattern playbook. Classifies the failure, cites the relevant memory entry, proposes the exact fix command — but NEVER applies without explicit user approval. Use when a specific PR check or GitHub Actions run failed and you want a diagnosis instead of speculation. Don't use for org-wide CI sweeps (that's /status) or for app-level test failures (the playbook is CI-infra-specific).
- [Ci Sentinel](/docs/reference/skills/ci-sentinel): Daily autonomous classifier for failing PRs across your repos. Runs /ci-debug headless against every open PR with red required checks, posts the verdict as a collapsed PR comment, and appends to a per-repo .sentinel/ledger.jsonl. v1 is propose-don't-apply — NEVER auto-pushes a fix. Use when you're tired of /status sweeps catching the same 10 CI failure patterns over and over.
- [Code Review Playbook](/docs/reference/skills/code-review-playbook): Structured review processes, conventional comments, language-specific checklists, and feedback templates. Use when reviewing PRs, conducting code review, or standardizing review practice.
- [Commit](/docs/reference/skills/commit): Creates commits with Conventional Commits format (feat/fix/docs/refactor/test/chore), automatic scope detection, co-author attribution, and pre-commit hook compliance. Validates staged changes, generates descriptive messages focusing on the 'why', and prevents secrets or generated-only files from being committed. Requires an explicit request naming this skill; plain `git commit` during normal work stays a bare CLI call. Use when committing changes or generating commit messages.
- [Competitive Analysis](/docs/reference/skills/competitive-analysis): Strategic analysis frameworks including Porter's Five Forces (industry attractiveness), SWOT (internal positioning), and competitive landscape mapping with battlecard generation. Produces competitor profiles, feature gap analysis, and positioning recommendations. Use when analyzing market position, evaluating threats, or building sales battlecards.
- [Component Search](/docs/reference/skills/component-search): Search 21st.dev component registry for production-ready React components. Finds components by natural language description, filters by framework and style system, returns ranked results with install instructions. Use when looking for UI components, finding alternatives to existing components, or sourcing design system building blocks.
- [Configure](/docs/reference/skills/configure): Interactive wizard for OrchestKit settings: MCP servers, hook permissions, keybindings, and install presets. Use when customizing plugin behavior or managing settings.
- [Cover](/docs/reference/skills/cover): Generate tests that do not exist yet. Analyzes coverage gaps, then writes and runs new test files across three tiers (unit, integration via testcontainers, Playwright E2E), one test-generator agent per tier, healing failures for up to 3 iterations. Use when code has no tests or when raising coverage after implementation. Do NOT use to grade tests that already exist (use /ork:verify) or to run a suite without writing anything new.
- [Create Pr](/docs/reference/skills/create-pr): Creates GitHub pull requests with pre-flight validation, conventional title formatting, and structured summary generation. Runs parallel checks (tests, lint, type-check, security) before opening. Supports feature, bugfix, refactor, and hotfix PR types with milestone assignment via gh CLI. Invoke only if the operator named it; an everyday `gh pr create` stays plain tooling. Use when opening PRs or submitting code for review.
- [Database Patterns](/docs/reference/skills/database-patterns): Database design and migration patterns for Alembic migrations, schema design (SQL/NoSQL), and database versioning. Use when creating migrations, designing schemas, normalizing data, managing database versions, or handling schema drift.
- [Demo Producer](/docs/reference/skills/demo-producer): Universal demo video creator for skills, agents, plugins, tutorials, CLI commands, and code walkthroughs. Generates scripts, storyboards, VHS terminal recordings, and Remotion video compositions with task-tracked production phases. Use when producing video showcases, marketing content, or terminal recordings.
- [Design Context Extract](/docs/reference/skills/design-context-extract): Extract design DNA from app screenshots, live URLs, or screen recordings using Google Stitch — color palettes, typography, spacing tokens, component patterns, and motion specs as design-tokens.json or Tailwind config. Use when the user points to a screenshot, URL, or video and asks to extract or audit the design, analyze animations or scroll behavior, or keep new pages matching an established visual identity.
- [Design Import](/docs/reference/skills/design-import): Scaffolds React components from a Claude Design handoff bundle and stops at files on disk: no stories, no tests, no pull request. Use when handed a claude.ai/design URL or a local bundle file; when that same scaffold should carry on through test generation, browser verification and an opened PR, run /ork:design-ship instead.
- [Design Ship](/docs/reference/skills/design-ship): One-shot pipeline turning a claude.ai/design link into a pull request: scaffold via /ork:design-import, stories and specs via /ork:cover, browser verification via /ork:expect, then open the PR. Use when a design link should come back as a PR with no intermediate steps; if all you need is the components written to disk, run /ork:design-import instead.
- [Design Stylecards](/docs/reference/skills/design-stylecards): Declarative catalog of named aesthetic recipes — exact shadow stacks, glass surfaces, gradient treatments, and type scales as copy-paste values with Use-When and Avoid rules. Use when the user asks for polished elevation, glassmorphism, a border gradient, a mesh background, or any 'make it look like X' request where taste should come from a versioned recipe instead of being reinvented per session.
- [Design System Tokens](/docs/reference/skills/design-system-tokens): Design token management with the W3C Design Token spec, three-tier hierarchy (global/alias/component), OKLCH color, Style Dictionary transforms, and dark mode theming. Use when creating token files, implementing theme systems, or building design-to-code pipelines.
- [Design To Code](/docs/reference/skills/design-to-code): Mockup-to-component pipeline using Google Stitch, 21st.dev, and Storybook MCP. Accepts a screenshot, a description, or a URL and produces production-ready React components, checking existing Storybook components before generating anything new. Use when implementing UI from a mockup or screenshot. To call the MCP tool surface on its own, with no design to convert, use storybook-mcp-integration.
- [Dev](/docs/reference/skills/dev): One-command dev loop boot. Spins up portless (named HTTPS subdomain), emulate (stateful API mocks), the project's dev server, and an agent-browser session, all keyed to the current git branch. Use when starting a feature branch, switching worktrees, or returning to a project after a break. Skips silently with install hints when prerequisite binaries are missing.
- [Devops Deployment](/docs/reference/skills/devops-deployment): Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.
- [Distributed Systems](/docs/reference/skills/distributed-systems): Distributed systems patterns for locking, resilience, idempotency, and rate limiting. Use when implementing distributed locks, circuit breakers, retry policies, idempotency keys, token bucket rate limiters, or fault tolerance patterns.
- [Doctor](/docs/reference/skills/doctor): OrchestKit doctor for health diagnostics across manifest integrity, hook configuration, skill validation, agent frontmatter, MCP server connectivity, CC version compatibility, and permission rules. Reports issues with severity levels and auto-remediation suggestions. Validates component counts, detects orphaned entries, and checks CC version matrix compliance. Use when diagnosing plugin health, troubleshooting configuration issues, or running pre-release checks.
- [Documentation Patterns](/docs/reference/skills/documentation-patterns): Technical documentation patterns for READMEs, ADRs, API docs (OpenAPI 3.1), changelogs, and writing style guides. Use when creating project documentation, writing architecture decisions, documenting APIs, or maintaining changelogs.
- [Domain Driven Design](/docs/reference/skills/domain-driven-design): DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure.
- [Dream](/docs/reference/skills/dream): Nightly memory consolidation — prunes stale entries, merges duplicates, resolves contradictions, rebuilds MEMORY.md index. Use when memory files have accumulated over many sessions and need cleanup. Do NOT use for storing new decisions (use remember) or searching memory (use memory).
- [Emulate Seed](/docs/reference/skills/emulate-seed): Generate emulate seed configs for stateful API emulation. Wraps Vercel's emulate tool for GitHub, Vercel, Google OAuth, Slack, Apple Auth, Microsoft Entra, AWS, Okta, Clerk, Resend, Stripe, and MongoDB Atlas APIs — full state machines, not mocks. Use when setting up test environments, CI pipelines, integration tests, or offline development.
- [Errors](/docs/reference/skills/errors): Error pattern analysis and troubleshooting for Claude Code sessions. Categorizes errors (network, auth, model, tool, memory, permission) with known resolution patterns, searches memory for prior occurrences, and suggests recovery steps. Delegates to debug-investigator agent for complex root cause analysis. Use when handling errors, fixing failures, or troubleshooting session issues.
- [Expect](/docs/reference/skills/expect): Diff-aware AI browser testing — reads the git diff, maps changes to affected pages via the route map, generates a targeted test plan, and executes it via agent-browser (Rust daemon + CDP, ARIA-tree-first) with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, or running regression checks on changed components.
- [Explore](/docs/reference/skills/explore): Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment. Generates ASCII visualizations, import graphs, and design pattern detection with cross-session memory storage. Use when exploring a repo, discovering architecture, onboarding to a new codebase, or analyzing design patterns.
- [Figma Design Handoff](/docs/reference/skills/figma-design-handoff): Figma-to-code design handoff patterns including Figma Variables to design tokens pipeline, component spec extraction, Dev Mode inspection, Auto Layout to CSS Flexbox/Grid mapping, and visual regression with Applitools. Use when converting Figma designs to code, documenting component specs, setting up design-dev workflows, or comparing production UI against Figma designs.
- [Fix Issue](/docs/reference/skills/fix-issue): Fixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to avoid recurrence. Use when debugging errors, resolving regressions, fixing bugs, or triaging issues.
- [Github Operations](/docs/reference/skills/github-operations): GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.
- [Glyph](/docs/reference/skills/glyph): Render an answer as ASCII art plus semantic emojis inline, right now, with no setup questions. Use for a fast visual take on status, comparisons, trade-offs, architecture, or any ad-hoc 'show me X visually' ask. For a full multi-artifact plan playground, use visualize-plan instead.
- [Golden Dataset](/docs/reference/skills/golden-dataset): Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
- [Help](/docs/reference/skills/help): OrchestKit help directory with categorized skill listings. Use when discovering skills for a task, finding the right workflow, or browsing capabilities.
- [I18n Date Patterns](/docs/reference/skills/i18n-date-patterns): Implements internationalization (i18n) in React applications. Covers user-facing strings, date/time handling, locale-aware formatting, ICU MessageFormat, and RTL support. Use when building multilingual UIs or formatting dates/currency.
- [Implement](/docs/reference/skills/implement): Full-power feature implementation using parallel subagents for backend, frontend, testing, and security, with worktree isolation and quality verification in one workflow. Chains with /ork:cover for tests and /ork:verify for validation. Use when asked to build, add, create, scaffold, or set up a new feature, endpoint, component, or UI capability. Not for fixing a bug, reviewing, explaining, testing, or comparing existing code.
- [Skills Reference](/docs/reference/skills): Complete reference for all 106 OrchestKit skills.
- [Interaction Patterns](/docs/reference/skills/interaction-patterns): UI interaction design patterns for skeleton loading, infinite scroll with accessibility, progressive disclosure, modal/drawer/inline selection, drag-and-drop with keyboard alternatives, tab overflow handling, and toast notification positioning. Use when implementing loading states, content pagination, disclosure patterns, overlay components, reorderable lists, or notification systems.
- [Issue Progress Tracking](/docs/reference/skills/issue-progress-tracking): GitHub issue workflow ceremony using gh CLI — labels issues as in-progress, creates feature branches (issue/N-description), commits with issue references, posts progress comments, and links PRs with Closes #N. Keeps issues in sync with development work. Use when starting work on an issue, tracking progress, or completing work with a PR.
- [Json Render Catalog](/docs/reference/skills/json-render-catalog): json-render component catalog patterns for AI-safe generative UI. Define Zod-typed catalogs that constrain what AI can generate, use @json-render/shadcn for 36 pre-built components, optimize specs with YAML mode, and apply the three edit modes (patch/merge/diff) for progressive updates. Use when building AI-generated UIs, defining component catalogs, or integrating json-render into React/Vue/Svelte/React Native/Ink/Next.js projects.
- [Langgraph](/docs/reference/skills/langgraph): LangGraph 1.x (LTS) Python workflow patterns for state management, delta channels, resilience (node timeouts, error handlers, graceful drain), routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming (v2 format), subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.
- [Llm Integration](/docs/reference/skills/llm-integration): LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
- [Market Sizing](/docs/reference/skills/market-sizing): TAM/SAM/SOM market sizing with top-down and bottom-up estimation methods, cross-validation of assumptions, and divergence reconciliation. Generates investor-ready materials with growth projections and confidence intervals. Use when estimating addressable markets, validating opportunity size, or preparing pitch deck market slides.
- [Mcp Patterns](/docs/reference/skills/mcp-patterns): MCP server building, advanced patterns, and security hardening. Use when building MCP servers, implementing tool handlers, choosing a transport, adding OAuth authentication, wiring MCP Apps UI with @mcp-ui, hardening MCP security, or debugging MCP integrations.
- [Mcp Visual Output](/docs/reference/skills/mcp-visual-output): Interactive MCP visual output via @json-render/mcp: upgrade plain JSON tool responses to dashboards rendered in sandboxed iframes inside MCP clients like Claude, Cursor, and ChatGPT. Use when a tool result would read better as a stat grid, data table, or status badge than as text. For the server itself (transport, auth, tool handlers, security) reach for ork:mcp-patterns.
- [Memory Fabric](/docs/reference/skills/memory-fabric): Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph queries.
- [Memory](/docs/reference/skills/memory): Unified read-side memory operations including knowledge graph search, session context loading, decision timeline viewing, and Mermaid graph visualization. Subcommands: search, load, history, viz, status. Complements /ork:remember (write-side). Use when searching past decisions, loading context, or visualizing the knowledge graph.
- [Monitoring Observability](/docs/reference/skills/monitoring-observability): Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span, should_export_span, LangfuseMedia), and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
- [Multi Surface Render](/docs/reference/skills/multi-surface-render): Multi-surface rendering with json-render — one JSON spec produces React web, Next.js, React Native, Ink terminal UIs, PDFs, emails, Remotion videos, OG images, and 3D scenes. Covers renderer target selection, registry mapping, and platform APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for several platforms or creating PDF reports, email templates, demo videos, or social images from one component spec.
- [Multimodal Llm](/docs/reference/skills/multimodal-llm): Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI video (Kling v3, Sora 2, Veo 3.1 std/lite/fast, Runway Gen-4.5 via `gen4_turbo`), or building multimodal AI pipelines.
- [Okr Design](/docs/reference/skills/okr-design): OKR trees, KPI dashboards, North Star Metric, leading/lagging indicators, and experiment design. Use when setting team goals, defining success metrics, building measurement frameworks, or designing A/B experiment guardrails.
- [Paired Probe](/docs/reference/skills/paired-probe): Refuse a verdict a probe did not earn. Runs a check where the fault IS present and where it is NOT, and blocks the answer when both arms print the same thing, because a check that cannot disagree with you has measured nothing. Also catches the zero-sample sweep that reads as "clean" and the swallowed error that reads as success. Use before reporting any status, audit, sweep, or "nothing found" result, and whenever a check surprises you by passing.
- [Performance](/docs/reference/skills/performance): Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, LLM inference, and sustainability UX. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, deploying LLMs efficiently, or reducing digital carbon footprint.
- [Portless](/docs/reference/skills/portless): Named HTTPS .localhost URLs with portless (v0.15.x). Eliminates port collisions, gives agents stable URLs, adds branch-named subdomains for git worktrees, LAN mode (--lan), and Tailscale sharing. Use when setting up a local dev environment or testing from phones and tablets on the same wifi. Do NOT use for production deployments, CI environments (set PORTLESS=0), or DNS/hosting configuration.
- [Prd To Goal](/docs/reference/skills/prd-to-goal): Decomposes a PRD, issue, or spec into a copy-pasteable single `/goal until ..., or stop after N turns` line. Use when running /goal against a spec, to reduce acceptance criteria to AND-joined boolean assertions.
- [Prioritization](/docs/reference/skills/prioritization): Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.
- [Product Analytics](/docs/reference/skills/product-analytics): A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
- [Product Frameworks](/docs/reference/skills/product-frameworks): Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.
- [Python Backend](/docs/reference/skills/python-backend): Production Python async patterns including asyncio TaskGroup, FastAPI dependency injection and middleware, SQLAlchemy 2.0 async sessions, and database connection pool tuning. Python 3.11+ runtime concerns such as ExceptionGroup, cancellation semantics, and session rollback. Use when building async services, wiring FastAPI dependencies, or tuning database connection pools. Runtime implementation layer, not the API wire contract.
- [Quality Gates](/docs/reference/skills/quality-gates): Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.
- [Rag Retrieval](/docs/reference/skills/rag-retrieval): Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.
- [React Server Components Framework](/docs/reference/skills/react-server-components-framework): Use when building Next.js 16+ apps with React Server Components. Covers App Router, Cache Components (replacing experimental_ppr), streaming SSR, Server Actions, and React 19 patterns for server-first architecture.
- [Release Management](/docs/reference/skills/release-management): Automates GitHub releases with semantic versioning, changelog generation from merged PRs, and gh CLI integration. Supports draft, prerelease, and standard release workflows with task-tracked multi-phase execution. Use when creating releases, tagging versions, or publishing changelogs.
- [Release Sync](/docs/reference/skills/release-sync): Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.
- [Remember](/docs/reference/skills/remember): Stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations. Supports recording architectural decisions, anti-patterns, tool preferences, workflow outcomes, and project conventions that persist across sessions. Use when saving patterns, remembering outcomes, recording decisions, or building institutional knowledge.
- [Responsive Patterns](/docs/reference/skills/responsive-patterns): Responsive design with Container Queries, fluid typography, cqi/cqb units, subgrid, intrinsic layouts, foldable devices, and mobile-first patterns for React applications. Use when building responsive layouts or container queries.
- [Review Pr](/docs/reference/skills/review-pr): PR review using parallel specialized agents for code quality, security, testing, architecture, and performance analysis. Synthesizes findings into a review report with conventional comments (praise/issue/suggestion/nitpick) and approve or request-changes verdict. Use when reviewing pull requests, conducting security audits, or validating changes before merge.
- [Scope Appropriate Architecture](/docs/reference/skills/scope-appropriate-architecture): Right-sizes architecture to project scope, classifying projects into 6 tiers to prevent over-engineering. Use when designing architecture, selecting patterns, or detecting a project tier.
- [Security Patterns](/docs/reference/skills/security-patterns): Security patterns for authentication, defense-in-depth, input validation, OWASP Top 10, LLM safety, and PII masking. Use when implementing auth flows, security layers, input sanitization, vulnerability prevention, prompt injection defense, or data redaction.
- [Setup](/docs/reference/skills/setup): Personalized 7-phase onboarding wizard that scans the codebase, detects tech stack, recommends skills and MCP servers, and generates an improvement plan with readiness score. Includes safety checks and project-scoped configuration. Use when setting up OrchestKit for a new project or rescanning after major changes.
- [Storybook Mcp Integration](/docs/reference/skills/storybook-mcp-integration): Reference for the Storybook MCP server itself (@storybook/addon-mcp): 6 tools across 3 toolsets (dev, docs, testing), availability detection, and per-agent toolset filtering. Use when setting up the server or calling these tools directly against components that already exist. For the end-to-end pipeline that turns a mockup into a new component and consumes these tools as one stage, use design-to-code.
- [Storybook Testing](/docs/reference/skills/storybook-testing): Storybook 10 testing patterns with Vitest integration, ESM-only distribution, CSF3 typesafe factories, play() interaction tests, Chromatic TurboSnap visual regression, module automocking, accessibility addon testing, and autodocs generation. Use when writing component stories, setting up visual regression testing, configuring Storybook CI pipelines, or migrating from Storybook 9.
- [Swarm Migrate](/docs/reference/skills/swarm-migrate): Cross-repo migration swarm — one coordinator + N parallel subagents (one per target repo) that apply the same transformation, open PRs, wait for CI, and report back to a shared JSON ledger. Coordinator handles topology, conflict auto-rebase, and stop-on-novel-failure. Use when bumping a shared dependency, rolling out a workflow change, or applying a codemod across the org. Do NOT use for single-repo work — that's /ork:implement.
- [Task Dependency Patterns](/docs/reference/skills/task-dependency-patterns): Task Management patterns with TaskCreate, TaskUpdate, TaskGet, TaskList tools. Decompose complex work into trackable tasks with dependency chains. Use when managing multi-step implementations, coordinating parallel work, or tracking completion status.
- [Telemetry Inspect](/docs/reference/skills/telemetry-inspect): Inspects the OrchestKit telemetry pipeline for the current project — lists all known telemetry files with write counts, sizes, schema status, growth trend, and orphan detection. Use when verifying the observability pipeline is healthy, debugging a missing writer, or auditing which files have schema locks vs. which are drift-vulnerable. Read-only — never modifies telemetry files.
- [Testing E2e](/docs/reference/skills/testing-e2e): End-to-end testing patterns with Playwright — page objects, AI agent testing, visual regression, accessibility testing with axe-core, and CI integration. Use when writing E2E tests, setting up Playwright, implementing visual regression, or testing accessibility.
- [Testing Integration](/docs/reference/skills/testing-integration): Integration and contract testing patterns — API endpoint tests, component integration, database testing, Pact contract verification, property-based testing, and Zod schema validation. Use when testing API boundaries, verifying contracts, or validating cross-service integration.
- [Testing Llm](/docs/reference/skills/testing-llm): LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). Use when testing AI features, validating LLM outputs, or building evaluation pipelines.
- [Testing Patterns](/docs/reference/skills/testing-patterns): Redirect — testing-patterns was split into 5 focused sub-skills. Use when looking for testing-patterns, writing tests, or test automation. Redirects to testing-unit, testing-e2e, testing-integration, testing-llm, or testing-perf.
- [Testing Perf](/docs/reference/skills/testing-perf): Performance and load testing patterns — k6 load tests, Locust stress tests, pytest execution optimization (xdist parallel, plugins), test type classification, and performance benchmarking. Use when writing load tests, optimizing test execution speed, or setting up pytest infrastructure.
- [Testing Unit](/docs/reference/skills/testing-unit): Unit testing patterns for isolated business logic tests — AAA pattern, parametrized tests (test.each, @pytest.mark.parametrize), fixture scoping (function/module/session), mocking with MSW/VCR at network level, and test data management with factories (FactoryBoy, faker-js). Use when writing unit tests, setting up mocks, structuring test data, optimizing test speed, choosing fixture scope, or reducing test boilerplate. Covers Vitest, Jest, pytest.
- [Ui Components](/docs/reference/skills/ui-components): UI component library patterns for shadcn/ui and Radix Primitives. Use when building accessible component libraries, customizing shadcn components, using Radix unstyled primitives, or creating design system foundations.
- [User Research](/docs/reference/skills/user-research): User personas, customer journey maps, interview guides, usability testing, and card sorting. Use when building user understanding, mapping customer experiences, planning user research sessions, or defining Jobs-to-Be-Done.
- [Verify](/docs/reference/skills/verify): Grade work that already exists and decide whether it can merge. Runs the project's current unit, integration, and E2E suites plus security scanning and type checking, scores every dimension 0-10, and returns a merge verdict with a VERIFIED-vs-CLAIMED evidence manifest. Writes no test files and edits no source. Use when verifying changes are ready to merge. Use /ork:cover instead when the tests still have to be written.
- [Visualize Plan](/docs/reference/skills/visualize-plan): Renders planned changes — architecture and before/after comparisons, risk heat maps, execution order, dependency graphs, impact metrics — in your chosen output format (ASCII + emojis, an interactive HTML playground, or a NotebookLM infographic). Stores visualizations in memory for cross-session reference. Use when reviewing implementation plans, comparing approaches, assessing risk, or analyzing change propagation.
- [Vite Advanced](/docs/reference/skills/vite-advanced): Advanced Vite 8 patterns including Rolldown-powered builds, advancedChunks, Environment API, plugin development, SSR configuration, library mode, and build optimization. Use when customizing build pipelines, creating plugins, or configuring multi-environment builds.
- [Web Research Workflow](/docs/reference/skills/web-research-workflow): Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
- [Write Prd](/docs/reference/skills/write-prd): Write PRD — Product Requirements Documents with structured 8-section templates, user stories, acceptance criteria, and value proposition validation. Use when writing PRDs, defining product requirements, creating user stories with INVEST criteria, or building go/no-go decision frameworks.
- [Zustand Patterns](/docs/reference/skills/zustand-patterns): Reference for Zustand 5.x state management including slices, middleware, Immer, useShallow, persistence, selectors, and devtools integration. Documents 7 core patterns with TypeScript examples and anti-patterns. Use when building React state management with Zustand instead of Redux.
- [AI & LLM Skills](/docs/skills/by-category/ai-llm): LLM integration, RAG, agent orchestration, MCP, embeddings.
- [Backend Skills](/docs/skills/by-category/backend): API design, databases, Python, async patterns, distributed systems.
- [DevOps Skills](/docs/skills/by-category/devops): CI/CD, deployment, monitoring, infrastructure, containers.
- [Frontend Skills](/docs/skills/by-category/frontend): React, components, design systems, animations, responsive patterns.
- [Product Skills](/docs/skills/by-category/product): PRDs, market sizing, competitive analysis, OKRs, user research.
- [Security Skills](/docs/skills/by-category/security): OWASP, auth patterns, defense-in-depth, vulnerability scanning.
- [Testing Skills](/docs/skills/by-category/testing): Unit, integration, E2E, performance, and LLM testing patterns.
- [Workflows Skills](/docs/skills/by-category/workflows): User-invocable commands for common development workflows.
- [/ork:commit](/docs/skills/spotlights/commit): Conventional commits with branch safety, validation, and co-authorship in one command.
- [/ork:implement](/docs/skills/spotlights/implement): Full-power feature implementation with parallel agents, scope control, and post-implementation reflection.
- [/ork:memory](/docs/skills/spotlights/memory): Search, load, sync, and visualize your knowledge graph across sessions.
- [/ork:review-pr](/docs/skills/spotlights/review-pr): Deep code review with 6 parallel specialized agents covering security, quality, tests, and architecture.
- [/ork:verify](/docs/skills/spotlights/verify): Comprehensive verification with 5 parallel agents, nuanced 0-10 grading, and prioritized improvement suggestions.
- [Block Writes](/docs/reference/hooks/spotlights/block-writes): Enforces read-only boundaries for investigation and review agents
- [Dangerous Command Blocker](/docs/reference/hooks/spotlights/dangerous-command-blocker): Blocks catastrophic shell commands before they execute
- [File Guard](/docs/reference/hooks/spotlights/file-guard): Protects sensitive files and enforces file size limits on writes
- [Memory Validator](/docs/reference/hooks/spotlights/memory-validator): Validates MCP memory operations to prevent accidental data loss
- [Pattern Consistency Enforcer](/docs/reference/hooks/spotlights/pattern-consistency-enforcer): The only skill-scoped hook --- enforces established code patterns during review
- [Stop Pipeline](/docs/reference/hooks/spotlights/stop-pipeline): Runs 7 cleanup hooks in a detached background process after session exit
- [Unified Advisory Dispatcher](/docs/reference/hooks/spotlights/unified-advisory-dispatcher): Consolidates 8 advisory hooks into a single process with budget-capped context injection
- [Unified Dispatchers](/docs/reference/hooks/spotlights/unified-dispatchers): How one hooks.json entry fans out to many internal hooks across 7 events

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- OpenAPI spec: [https://orchestkit.yonyon.ai/api/openapi](/api/openapi)
- Natural-language query: POST [https://orchestkit.yonyon.ai/ask](/ask)
- MCP server (Streamable HTTP): [https://orchestkit.yonyon.ai/api/mcp](/api/mcp)