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AI EngineeringJavaScript

Agent Skill Discovery

Agent Skill Discovery is an AI Engineering skill for Claude Code, published by addyosmani in agent-skills.

86.7K stars9.3K forkson addyosmani/agent-skillsAdded 2026/08/13Repository updated 2026/08/11

View source on GitHub Download repo ZIP

agent-skillsantigravityclaude-codecodexcursorskills

Install in seconds

Install Agent Skill Discovery

Copy Agent Skill Discovery into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/addyosmani/agent-skills/tree/main/skills/using-agent-skills ~/.claude/skills/using-agent-skills

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/addyosmani/agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/using-agent-skills/SKILL.md in addyosmani/agent-skills
Installs to: ~/.claude/skills/using-agent-skills
Collection: One of 24 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agent Skill Discovery does

Agent Skill Discovery discovers and invokes agent skills, helping an agent identify the right engineering workflow for a task. Use it when starting a session or when unsure which skill applies.

Agent Skill Discovery is cataloged under AI Engineering on DirSkills. Agent Skill Discovery comes from a repository tagged agent-skills, antigravity, claude-code, codex and cursor.

Documentation

README

Excerpt

Using Agent Skills

Overview

Agent Skills is a collection of engineering workflow skills organized by development phase. Each skill encodes a specific process that senior engineers follow. This meta-skill helps you discover and apply the right skill for your current task.

Skill Discovery

When a task arrives, identify the development phase and apply the corresponding skill:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Skill Discovery

What else does addyosmani publish alongside Agent Skill Discovery?
Agent Skill Discovery is one of 24 skills that DirSkills catalogs from addyosmani/agent-skills, the repository it ships in. Its siblings there include API and Interface Design, Browser Testing and CI/CD and Automation. Each one is a separate skill with its own page in this directory, installs the same way Agent Skill Discovery does, and is maintained by addyosmani in that same repository. The rest of the collection is listed on the addyosmani/agent-skills page.
How does Agent Skill Discovery compare to other AI Engineering skills?
Agent Skill Discovery ranks #51 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Skill Discovery against them. Open each page to compare what they document and how they install.

More from addyosmani/agent-skills

Agent Skill Discovery is one of 24 skills cataloged on DirSkills from addyosmani/agent-skills.

See all 24 skills →

API and Interface Design

API and Interface Design guides the creation of stable, well-documented interfaces including REST APIs, GraphQL schemas, module boundaries, and component props. Use it when designing new endpoints, defining contracts between teams, or changing existing public interfaces.

Browser Testing

Browser Testing runs tests and inspections in a real browser via Chrome DevTools MCP. Use it when building or debugging browser UI to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output.

CI/CD and Automation

CI/CD and Automation sets up and modifies build and deployment pipelines, automating quality gates like lint, type check, tests, build, and security audits so no change reaches production without passing checks.

Code Review and Quality

Code Review and Quality conducts multi-axis code review across correctness, readability, architecture, security, and performance before merging changes. Use it to assess code quality before code enters the main branch.

Code Simplification

Code Simplification simplifies code by reducing complexity while preserving exact behavior. Use it when refactoring for clarity, improving readability, or reviewing code that has accumulated unnecessary complexity.

Context Engineering

Context Engineering optimizes the information an AI agent sees by structuring rules files, specs, source files, error output, and conversation history. Use when starting a session, when agent output degrades, or when setting up project context.

More AI Engineering skills

Agent Skill Discovery is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #51 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.