Awesome Agent Skills

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.

Agent Skills is an open-source collection of engineering workflows for AI coding agents, developed by Addy Osmani. It packages senior-engineering practices into skills covering the development lifecycle: defining specifications, planning, incremental implementation, testing and debugging, constraints, code review, web-performance auditing, code simplification, and shipping. Slash commands such as /spec, /plan, /build, /test, /review, and /ship activate the corresponding workflows, while skills can also activate automatically based on the work being performed. The /build workflow can generate a plan and implement its tasks in an approved pass, while retaining test-driven verification, individual commits, and pauses for failures or risky steps. It can be installed with the skills CLI or integrated into supported coding agents including Claude Code, Cursor, Codex, Copilot, and Cline.

Agent Skills is Google's repository of installable skills for Google products and technologies, including Google Cloud. The skills provide Markdown-based procedures for tasks such as onboarding and authenticating to Google Cloud, deploying and managing AI agents, working with GKE, databases, networking, security, monitoring, analytics, advertising APIs, Firebase, Android, Dart, Flutter, and Google Maps Platform. Skills can be selected and installed with `npx skills add google/skills`; the repository also bundles plugins and MCP servers for agent harnesses including Claude Code, Codex, and Antigravity CLI. The repository accepts bug reports and contributions, and its skills are distributed under the Apache 2.0 license.

Anthropic's repository of Agent Skills for Claude, including example skills, the Agent Skills specification, and a template for creating custom skills. Each skill is a self-contained folder with a SKILL.md file containing metadata and instructions that Claude loads dynamically for specialized tasks such as document creation, data analysis, web-app testing, MCP server generation, and communications workflows. The repository's skills can be installed as Claude Code plugins, used in Claude.ai, or accessed through the Claude API. It includes document, PDF, presentation, and spreadsheet skills used in Claude's document capabilities; many examples are Apache-2.0 licensed, while those document-creation skills are source-available rather than open source. The repository presents the implementations for demonstration and educational purposes and notes that their behavior may differ across Claude environments.

Awesome Claude Skills is a curated GitHub resource covering reusable Claude Skills, plugins, tools, and related resources for Claude.ai, Claude Code, the Claude API, and other coding agents such as Codex, Cursor, Gemini CLI, Antigravity, and Windsurf. It organizes examples by areas including document processing, development, data analysis, communication, media, productivity, project management, security, and SaaS-app automation through Composio. The repository explains Skills as folders containing a SKILL.md file with YAML metadata and Markdown instructions, optionally accompanied by scripts, references, and assets. It documents progressive loading: agents initially see a skill's name and description, load the full instructions when relevant, and load supporting files on demand. It also distinguishes Skills, which define workflows and guardrails, from MCP servers and tools, which provide system access and individual actions. The list accepts contributions through documented quality and pull-request guidelines. The repository is licensed under Apache 2.0, while individual skills may use different licenses.