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Agent Skills

Production-grade engineering skills for AI coding agents.

Skills encode the workflows, quality gates, and best practices that senior engineers use when building software. These ones are packaged so AI agents follow them consistently across every phase of development.

  DEFINE          PLAN           BUILD          VERIFY         REVIEW          SHIP
 ┌──────┐      ┌──────┐      ┌──────┐      ┌──────┐      ┌──────┐      ┌──────┐
 │ Idea │ ───▶ │ Spec │ ───▶ │ Code │ ───▶ │ Test │ ───▶ │  QA  │ ───▶ │  Go  │
 │Refine│      │  PRD │      │ Impl │      │Debug │      │ Gate │      │ Live │
 └──────┘      └──────┘      └──────┘      └──────┘      └──────┘      └──────┘
  /spec          /plan          /build        /test         /review       /ship

Commands

7 slash commands that map to the development lifecycle. Each one activates the right skills automatically — you don't need to memorize 18 skill names.

Command Phase What It Does
/spec Define Write a structured specification before writing code — objectives, constraints, boundaries
/plan Plan Break a spec into small, verifiable tasks with acceptance criteria and dependency order
/build Build Implement the next task incrementally — thin vertical slices, test each piece, commit
/test Verify Run TDD workflow (Red-Green-Refactor). For bugs, use the Prove-It pattern: failing test first
/review Review Five-axis code review: correctness, readability, architecture, security, performance
/code-simplify Review Reduce complexity without changing behavior — structural, naming, and redundancy patterns
/ship Ship Pre-launch checklist: security, performance, accessibility, monitoring, rollback plan

Skills also activate automatically based on what you're doing — designing an API triggers api-and-interface-design, building UI triggers frontend-ui-engineering, and so on.


Quick Start

Claude Code (recommended)

Marketplace install:

/install github:addyosmani/agent-skills

Local / development:

git clone https://github.com/addyosmani/agent-skills.git
claude --plugin-dir /path/to/agent-skills
Cursor

Copy any SKILL.md into .cursor/rules/, or reference the full skills/ directory. See docs/cursor-setup.md.

Windsurf

Add skill contents to your Windsurf rules configuration. See docs/windsurf-setup.md.

GitHub Copilot

Use agent definitions from agents/ as Copilot personas and skill content in .github/copilot-instructions.md. See docs/copilot-setup.md.

Codex / Other Agents

Skills are plain Markdown - they work with any agent that accepts system prompts or instruction files. See docs/getting-started.md.


All 18 Skills

The commands above are the entry points. Under the hood, they activate these 18 skills — each one a structured workflow with steps, verification gates, and anti-rationalization tables. You can also reference any skill directly.

Define - Clarify what to build

Skill What It Does Use When
idea-refine Structured divergent/convergent thinking to turn vague ideas into concrete proposals You have a rough concept that needs exploration
spec-driven-development Write a PRD covering objectives, commands, structure, code style, testing, and boundaries before any code Starting a new project, feature, or significant change

Plan - Break it down

Skill What It Does Use When
planning-and-task-breakdown Decompose specs into small, verifiable tasks with acceptance criteria and dependency ordering You have a spec and need implementable units

Build - Write the code

Skill What It Does Use When
incremental-implementation Thin vertical slices - implement, test, verify, commit. Feature flags, safe defaults, rollback-friendly changes Any change touching more than one file
context-engineering Feed agents the right information at the right time - rules files, context packing, MCP integrations Starting a session, switching tasks, or when output quality drops
frontend-ui-engineering Component architecture, design systems, state management, responsive design, WCAG 2.1 AA accessibility Building or modifying user-facing interfaces
api-and-interface-design Contract-first design for REST/GraphQL - error semantics, versioning, boundary design, input validation Designing APIs, module boundaries, or public interfaces

Verify - Prove it works

Skill What It Does Use When
test-driven-development Red-Green-Refactor cycle. The Prove-It pattern: reproduce bugs with a failing test before fixing Implementing logic, fixing bugs, or changing behavior
browser-testing-with-devtools Chrome DevTools MCP for live runtime data - DOM inspection, console logs, network traces, performance profiling Building or debugging anything that runs in a browser
debugging-and-error-recovery Five-step triage: reproduce, localize, reduce, fix, guard. Stop-the-line rule, safe fallbacks Tests fail, builds break, or behavior is unexpected

Review - Quality gates before merge

Skill What It Does Use When
code-review-and-quality Five-axis review: correctness, readability, architecture, security, performance. Multi-model review patterns Before merging any change
code-simplification Reduce complexity while preserving exact behavior - structural, naming, and redundancy patterns Code works but is harder to read or maintain than it should be
security-and-hardening OWASP Top 10 prevention, auth patterns, secrets management, dependency auditing, three-tier boundary system Handling user input, auth, data storage, or external integrations
performance-optimization Measure-first approach - Core Web Vitals targets, profiling workflows, bundle analysis, anti-pattern detection Performance requirements exist or you suspect regressions

Ship - Deploy with confidence

Skill What It Does Use When
git-workflow-and-versioning Atomic commits, descriptive messages, branch strategy, worktrees, the commit-as-save-point pattern Making any code change (always)
ci-cd-and-automation Pipeline design, test/lint/typecheck/build enforcement, failure feedback loops, deployment strategies Setting up or modifying build and deploy pipelines
documentation-and-adrs Architecture Decision Records, API docs, inline documentation standards - document the why Making architectural decisions, changing APIs, or shipping features
shipping-and-launch Pre-launch checklists, feature flag lifecycle, staged rollouts, rollback procedures, monitoring setup Preparing to deploy to production

Agent Personas

Pre-configured specialist personas for targeted reviews:

Agent Role Perspective
code-reviewer Senior Staff Engineer Five-axis code review with "would a staff engineer approve this?" standard
test-engineer QA Specialist Test strategy, coverage analysis, and the Prove-It pattern
security-auditor Security Engineer Vulnerability detection, threat modeling, OWASP assessment

Reference Checklists

Quick-reference material that skills pull in when needed:

Reference Covers
testing-patterns.md Test structure, naming, mocking, React/API/E2E examples, anti-patterns
security-checklist.md Pre-commit checks, auth, input validation, headers, CORS, OWASP Top 10
performance-checklist.md Core Web Vitals targets, frontend/backend checklists, measurement commands
accessibility-checklist.md Keyboard nav, screen readers, visual design, ARIA, testing tools

How Skills Work

Every skill follows a consistent anatomy:

┌─────────────────────────────────────────────┐
│  SKILL.md                                   │
│                                             │
│  ┌─ Frontmatter ─────────────────────────┐  │
│  │ name: lowercase-hyphen-name           │  │
│  │ description: Use when [trigger]       │  │
│  └───────────────────────────────────────┘  │
│                                             │
│  Overview         → What this skill does    │
│  When to Use      → Triggering conditions   │
│  Process          → Step-by-step workflow   │
│  Rationalizations → Excuses + rebuttals     │
│  Red Flags        → Signs something's wrong │
│  Verification     → Evidence requirements   │
└─────────────────────────────────────────────┘

Key design choices:

  • Process, not prose. Skills are workflows agents follow, not reference docs they read. Each has steps, checkpoints, and exit criteria.
  • Anti-rationalization. Every skill includes a table of common excuses agents use to skip steps (e.g., "I'll add tests later") with documented counter-arguments.
  • Verification is non-negotiable. Every skill ends with evidence requirements - tests passing, build output, runtime data. "Seems right" is never sufficient.
  • Progressive disclosure. The SKILL.md is the entry point. Supporting references load only when needed, keeping token usage minimal.

Project Structure

agent-skills/
├── skills/                            # 18 core skills (SKILL.md per directory)
│   ├── idea-refine/                   #   Define
│   ├── spec-driven-development/       #   Define
│   ├── planning-and-task-breakdown/   #   Plan
│   ├── incremental-implementation/    #   Build
│   ├── context-engineering/           #   Build
│   ├── frontend-ui-engineering/       #   Build
│   ├── api-and-interface-design/      #   Build
│   ├── test-driven-development/       #   Verify
│   ├── browser-testing-with-devtools/ #   Verify
│   ├── debugging-and-error-recovery/  #   Verify
│   ├── code-review-and-quality/       #   Review
│   ├── code-simplification/          #   Review
│   ├── security-and-hardening/        #   Review
│   ├── performance-optimization/      #   Review
│   ├── git-workflow-and-versioning/   #   Ship
│   ├── ci-cd-and-automation/          #   Ship
│   ├── documentation-and-adrs/        #   Ship
│   ├── shipping-and-launch/           #   Ship
│   └── using-agent-skills/            #   Meta: how to use this pack
├── agents/                            # 3 specialist personas
├── references/                        # 4 supplementary checklists
├── hooks/                             # Session lifecycle hooks
├── .claude/commands/                  # 7 slash commands
└── docs/                              # Setup guides per tool

Why Agent Skills?

AI coding agents default to the shortest path - which often means skipping specs, tests, security reviews, and the practices that make software reliable. Agent Skills gives agents structured workflows that enforce the same discipline senior engineers bring to production code.

Each skill encodes hard-won engineering judgment: when to write a spec, what to test, how to review, and when to ship. These aren't generic prompts - they're the kind of opinionated, process-driven workflows that separate production-quality work from prototype-quality work.


Contributing

Skills should be specific (actionable steps, not vague advice), verifiable (clear exit criteria with evidence requirements), battle-tested (based on real workflows), and minimal (only what's needed to guide the agent).

See docs/skill-anatomy.md for the format specification and CONTRIBUTING.md for guidelines.


License

MIT - use these skills in your projects, teams, and tools.

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Production-grade engineering skills for AI coding agents.

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