Directory

Agent skills

Reviewed resources in Agent skills. 581 resources listed.

581 listings in Agent skills

  • cc-skills

    skills.sh

    A collection of reusable AI agent skills covering marketing and engineering tasks, written and reviewed by hand rather than machine-generated, installable across Claude Code, OpenClaw, Gemini CLI, Cursor, Copilot, OpenCode, and Codex.

  • AI Ready

    github.com

    An Agent Skill that inspects a repository's context, tests, CI, and pull-request patterns, then generates the configuration files coding agents need to contribute correctly, such as AGENTS.md, Copilot instructions, CI checks, and issue templates.

  • Forge

    go.useforge.ai

    An open-source runtime for Anthropic's Agent Skills standard that compiles a SKILL.md into a portable, hardened agent you can deploy on Kubernetes, on-prem, air-gapped, in CI, or as an A2A endpoint.

  • AgentSmith

    agentsmith.diy

    A universal, model-agnostic operating harness that installs shared project rules, a definition of done, and evidence-recording checks into a repository so any AI coding agent runs the real checks, records proof of its work, and leaves a handoff another session can verify.

  • A reference monitor for AI coding agents that intercepts every shell command, file operation, and web request through Rust hook binaries and Cedar policies, blocking exfiltration and destructive actions across Claude Code, Cursor, Copilot, and other agent tools.

  • Asgard Skills

    vault.asgard-ai.com

    An open-source knowledge base of 301 coding-agent skills across 22 subject categories, from graduate-level theory frameworks and algorithms to Taiwan-specific business and tax knowledge, packaged as Claude Agent Skill Markdown files.

  • OnionClaw

    github.com

    An OpenClaw skill and standalone tool that gives AI agents access to the Tor network and onion services, built on a dark-web search engine and OSINT pipeline for threat-intelligence and security research.

  • A cross-platform meta-rule set that forces an AI agent to check its installed skills before acting, load a matching skill when one exists, and search when none does, installable across Claude Code, ChatGPT, Cursor, and Gemini.

  • Six portable agent skills for memory consolidation, context compression, verification, and multi-agent coordination, distilled from a coding-agent codebase and rewritten to install into Claude Code, Codex, or OpenClaw.

  • A packaging and distribution repository for GRACE, a contract-first AI coding methodology built around semantic markup, XML project artifacts, and knowledge-graph navigation, plus an optional CLI.

  • Lazy Skills

    lazyskills.sh

    A terminal UI for managing agent skills across a project, showing every installed skill in one place, which coding agents such as Claude Code, OpenCode or Cursor can actually see it, and why a skill's visibility might be broken.

  • An extension for the Pi coding agent that rewrites bash commands to their faster rtk equivalents and compacts noisy tool output from commands such as bash, read and grep, to reduce how much context window a session consumes.

  • A curated set of skills, provider profiles and configuration templates for OpenAI's Codex CLI, adding deep research, image generation, browser debugging through Chrome DevTools MCP, and quick switching between model providers such as Azure OpenAI, OpenRouter and GitHub Copilot.

  • A compact, always-loaded set of operating rules for frontier coding agents such as Claude Code or Cursor, paired with three explicitly invoked skills for continuous execution, parallel work strands and pre-commitment failure analysis.

  • A community-maintained directory of over 13,000 plugins for the DeepSeek Harness (dsh) coding agent, collected automatically from GitHub, validated with static checks before listing, and searchable through a free public API or an in-agent plugin browser.

  • SpecShip

    github.com

    A spec-driven autonomous engineering workflow, packaged as a Kiro Power, that walks an AI coding agent through reverse-engineering existing code, planning, test-driven building, adversarial validation and shipping a pull request.

  • A set of extensions for Visual Studio, VS Code and Claude Code that adds Azure-specific skills and an MCP server so an AI assistant can answer questions about a user's Azure services and help with Azure management and development from inside the IDE.

  • A community-maintained collection of agent skills that teach AI coding assistants how to use Apify Actors for specific tasks, such as ad intelligence research, AI search visibility tracking or app store data, installable into Claude Code, Cursor, Codex and dozens of other agents.

  • A shared configuration bundle for Claude Code and Codex containing global instructions, coding rules, plugins, skills, status lines and correction memory, installed by asking the user's own agent to read the install instructions and offer a menu of options.

  • OpenCode Orchestrator

    agnusdei1207.github.io

    An OpenCode plugin that keeps a task and its unfinished work connected across turns, using a Commander role for the overall goal and optional Planner, Worker and Reviewer roles when a task is complex enough to benefit.

  • A configuration bundle for Claude Code that adds a structured Spec-Plan-Build-Test-Review-Ship workflow, ten role-based subagents, mandatory coding rules, and slash commands for common development tasks.

  • Sentry for AI

    github.com

    A source repository of skills that teach an AI coding assistant how to set up Sentry error monitoring in a project, triage and fix production issues, and configure alerts, distributed as plugins for Claude Code, Cursor, Codex and Grok rather than installed directly.

  • A set of Hermes Agent skills that turn a rough product idea into a design document, an implementation specification and a single build-handoff file another agent can implement from, before any coding starts.

  • A set of composable orchestration skills for the Hermes coding agent, inspired by a similar project for Claude Code, covering research, requirements interviewing, consensus planning and verified execution as standalone or combined pipelines.