Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Implement the next task incrementally — build, test, verify, commit
Simplify code for clarity and maintainability — reduce complexity without changing behavior
Break work into small verifiable tasks with acceptance criteria and dependency ordering
Conduct a five-axis code review — correctness, readability, architecture, security, performance
Run the pre-launch checklist and prepare for production deployment
Senior code reviewer that evaluates changes across five dimensions — correctness, readability, architecture, security, and performance. Use for thorough code review before merge.
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
QA engineer specialized in test strategy, test writing, and coverage analysis. Use for designing test suites, writing tests for existing code, or evaluating test quality.
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
Refines ideas iteratively. Refine ideas through structured divergent and convergent thinking. Use "idea-refine" or "ideate" to trigger.
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Uses power tools
Uses Bash, Write, or Edit tools
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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
7 slash commands that map to the development lifecycle. Each one activates the right skills automatically.
| What you're doing | Command | Key principle |
|---|---|---|
| Define what to build | /spec | Spec before code |
| Plan how to build it | /plan | Small, atomic tasks |
| Build incrementally | /build | One slice at a time |
| Prove it works | /test | Tests are proof |
| Review before merge | /review | Improve code health |
| Simplify the code | /code-simplify | Clarity over cleverness |
| Ship to production | /ship | Faster is safer |
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.
Marketplace install:
/plugin marketplace add addyosmani/agent-skills
/plugin install agent-skills@addy-agent-skills
SSH errors? The marketplace clones repos via SSH. If you don't have SSH keys set up on GitHub, either add your SSH key or switch to HTTPS for fetches only:
git config --global url."https://github.com/".insteadOf "[email protected]:"
Local / development:
git clone https://github.com/addyosmani/agent-skills.git
claude --plugin-dir /path/to/agent-skills
Copy any SKILL.md into .cursor/rules/, or reference the full skills/ directory. See docs/cursor-setup.md.
Install as native skills for auto-discovery, or add to GEMINI.md for persistent context. See docs/gemini-cli-setup.md.
Install from the repo:
gemini skills install https://github.com/addyosmani/agent-skills.git --path skills
Install from a local clone:
gemini skills install ./agent-skills/skills/
Add skill contents to your Windsurf rules configuration. See docs/windsurf-setup.md.
Uses agent-driven skill execution via AGENTS.md and the skill tool.
Use agent definitions from agents/ as Copilot personas and skill content in .github/copilot-instructions.md. See docs/copilot-setup.md.
Skills are plain Markdown - they work with any agent that accepts system prompts or instruction files. See docs/getting-started.md.
The commands above are the entry points. Under the hood, they activate these 20 skills — each one a structured workflow with steps, verification gates, and anti-rationalization tables. You can also reference any skill directly.
| 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 |
npx claudepluginhub orlandoharris/geminiProduction-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Skills for creating new agent skills for Claude Code and VS Code Copilot
Unified capability management center for Skills, Agents, and Commands.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
4つの専門エージェント(アーキテクト・リサーチャー・ライター・レビュアー)がチームで高品質なスキルを設計・作成する
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup