Production-grade engineering skills for AI coding agents.
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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.
9 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
Set the quality bar
/constraints
Decide it once, enforce it everywhere
Review before merge
/review
Improve code health
Audit web performance
/webperf
Measure before you optimize
Simplify the code
/code-simplify
Clarity over cleverness
Ship to production
/ship
Faster is safer
Want fewer manual steps once the spec exists? /build auto generates the plan and implements every task in a single approved pass — you approve the plan once, then it runs autonomously. It removes the human stepping between tasks, not the verification: every task is still test-driven and committed individually, and it pauses on failures or risky steps.
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
Fastest path — any agent, one command. The open skills CLI installs into 70+ agents (Claude Code, Cursor, Codex, Copilot, Cline, and more):
npx skills add addyosmani/agent-skills # install all 25 skills npx skills add addyosmani/agent-skills --list # browse before installing
Or grab individual skills:
npx skills add addyosmani/agent-skills --skill code-review-and-quality # five-axis review before merge npx skills add addyosmani/agent-skills --skill interview-me # requirements interrogation, one question at a time npx skills add addyosmani/agent-skills --skill test-driven-development # red-green-refactor, enforced
Installing one skill? A per-skill npx install copies only
skills/<name>/, not the repo-level references/ directory. The skill still
works, but paths to supplementary shared checklists are unavailable. Use a
whole-repo integration, clone the repository, or copy the needed checklist into
a references/ directory inside the installed skill. This portability gap is
tracked in #361.
Prefer a native integration? Pick your tool below.
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 use the full HTTPS URL to force HTTPS cloning during the marketplace-add step:
If /plugin install still fails with [email protected]: Permission denied (publickey) on Windows or macOS, the recommended workaround is to configure Git once to rewrite GitHub SSH URLs to HTTPS for subprocess clones:
git clone https://github.com/addyosmani/agent-skills.git claude --plugin-dir /path/to/agent-skills
Cursor
Put workflow skills under .cursor/skills/ (sync from agent-skills/skills/) and short policies in .cursor/rules/*.mdc — do not paste full skills into rules. See docs/cursor-setup.md.
Antigravity CLI
Install as a native plugin for skills and subagents. In affected Antigravity CLI releases, legacy command TOMLs are reported as converted but their wrapper commands are not discoverable; invoke the underlying namespaced skills directly. See docs/antigravity-setup.md.
Copy skills to .opencode/skills/ (or ~/.config/opencode/skills/), add a project-local AGENTS.md, and use the built-in skill tool for agent-driven execution. Optional slash commands can be added under .opencode/commands/.
Use agent definitions from agents/ as Copilot personas and skill content in .github/copilot-instructions.md. See docs/copilot-setup.md.
Kiro IDE & CLI
Skills for Kiro reside under ".kiro/skills/" and can be stored under Project or Global level. Kiro also supports Agents.md. See Kiro docs at https://kiro.dev/docs/skills/
Codex
Install as a native Codex plugin (Codex CLI v0.122+):
The first command registers the marketplace; the second installs the plugin. Codex reads the root skills/ directory directly through .codex-plugin/plugin.json. Once installed, invoke skills in chat using @ (e.g., @spec-driven-development). See docs/codex-setup.md for local installation and troubleshooting.
Command Code
Install natively with the built-in cmd skills command. Command Code clones the repo, discovers every SKILL.md, and installs into .commandcode/skills/:
cmd skills add addyosmani/agent-skills # pick skills to install (project) cmd skills add addyosmani/agent-skills --global # install for all projects (~/.commandcode/skills/) cmd skills add addyosmani/agent-skills -s spec-driven-development # install a specific skill
Installed skills show up in the TUI slash menu, e.g. /spec-driven-development. See docs/commandcode-setup.md.
Other Agents
Skills are plain Markdown - they work with any agent that accepts system prompts or instruction files. See docs/getting-started.md.
Adoption
Already installed? How you roll the pack out depends on your codebase. The Adoption Guide covers two paths: the full lifecycle from day one for a greenfield project, or an incremental, verification-first rollout for an established codebase.
All 24 Skills
The commands above are entry points. The pack includes 25 skills total — 24 lifecycle skills plus the using-agent-skills meta-skill. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables. You can also reference any skill directly.
Interviews you for a quality bar with sane default thresholds, writes CONSTRAINTS.md, places each check by cost, and catches agents silencing checks or skipping tests to get green
No standards are written down, or an agent is producing more than anyone reads
Endorsed multi-persona orchestration patterns, anti-patterns, and the "personas don't invoke personas" rule
How Skills Work
Every skill follows a consistent anatomy:
┌─────────────────────────────────────────────────┐
│ SKILL.md │
│ │
│ ┌─ Frontmatter ─────────────────────────────┐ │
│ │ name: lowercase-hyphen-name │ │
│ │ description: Guides agents through [task].│ │
│ │ Use when… │ │
│ └───────────────────────────────────────────┘ │
│ 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.
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.
Skills bake in best practices from Google's engineering culture — including concepts from Software Engineering at Google and Google's engineering practices guide. You'll find Hyrum's Law in API design, the Beyonce Rule and test pyramid in testing, change sizing and review speed norms in code review, Chesterton's Fence in simplification, trunk-based development in git workflow, Shift Left and feature flags in CI/CD, and a dedicated deprecation skill treating code as a liability. These aren't abstract principles — they're embedded directly into the step-by-step workflows agents follow.
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).
MIT - use these skills in your projects, teams, and tools.
Install with your agent
Paste this prompt into your agent. It reads this page and does the setup for you.
prompt
Read https://aiagentslisting.com/skill/addy-osmanis-agent-skills to learn what the "Addy Osmani's Agent Skills" skill does and how to install it. Install it for my coding agent as documented on that page, then confirm the skill is available and summarize what it can do.
Agents can also browse this directory over MCP at https://aiagentslisting.com/api/mcp
Install manually
Claude Code
Run the install command below in your terminal.
The skill files land in your ~/.claude/skills directory, laid out as shown.
Restart Claude Code or start a new session. Skills are discovered on startup.
Connect to the AI Agents Listing MCP server at https://aiagentslisting.com/api/mcp using the HTTP transport and complete the sign-in when it asks. Then call the submit_review tool for the listing "addy-osmanis-agent-skills" with a rating from 1 to 5 and a short note on what worked and what did not.
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