Agent Skills Directory

Agent Skills Directory

A P1 directory page for finding and evaluating reusable agent skills, rules, commands, prompts, and workflow templates across AI coding tools without treating third-party lists as official endorsements.

Last updated: June 29, 2026

Feature Comparison

Directory entryEquivalent assetBest useRisk to review
Claude Code skillsSKILL.md bundles with optional references, scripts, templates, or assetsReusable Claude workflows and team playbooksTool permissions, shell commands, private data, and stale docs.
Codex instructionsAGENTS.md, repo instructions, task templates, and review checklistsPortable coding-agent guidance across Codex-style workflowsOver-broad repo instructions and hidden deployment assumptions.
Cursor rules.cursor/rules and .mdc filesEditor-aware coding standards, framework rules, and review guardrailsRules that conflict with existing project conventions.
Gemini CLI patternsGEMINI.md-style instructions, commands, and MCP workflows where supportedTerminal agent workflows and Google ecosystem contextAccount permissions, tool calls, and source freshness.
OpenCode agentsAgent files, command templates, and provider-specific configOpen-source or multi-provider coding-agent workflowsCommunity examples that assume local secrets or broad file access.
Awesome lists and marketplacesCurated links, templates, registries, and manager toolsDiscovery and comparisonDo not assume official endorsement or security review.

Keyword Evidence

agent skills directory is a P1 discovery page for the Claude Skills cluster. Latest backend data provided for this page shows US Volume 40, CPC $10.98, Global Volume 90, keyword ideas 11, and KD unavailable.

Directory Map

Different tools use different names for reusable agent behavior. Treat skills as a broad category that includes Claude skills, Codex instructions, Cursor rules, Gemini CLI project guidance, OpenCode agents, command packs, and MCP-backed workflows.

  • Use official docs to confirm file locations and supported capabilities.
  • Use awesome lists for discovery, not as proof of safety.
  • Use marketplaces or registries only after checking publisher, version, and permissions.
  • Use local skill managers when teams need ownership, review, and versioning.

Selection Criteria

A good agent skill should reduce repeated prompting without hiding risky behavior. Evaluate it by workflow value, compatibility, ownership, and blast radius.

  • Does it solve a repeated workflow rather than a vague productivity wish?
  • Can the same idea work in Claude Code, Codex, Cursor, or another tool?
  • Does it name required files, commands, and validation steps?
  • Does it avoid real keys, private endpoints, and destructive defaults?
  • Can your team review and update it when the tool changes?

Installation Risk

Do not install third-party skills as if they were packages from a trusted internal registry. Read the files first, then test in a low-risk project.

Safe review path:
1. Read SKILL.md, rules, commands, scripts, and config files.
2. Search for tokens, env vars, curl commands, deploy commands, and delete commands.
3. Remove private examples and broad permissions.
4. Test in a disposable repo or branch.
5. Document owner, source URL, and last reviewed date.

Awesome Lists, Marketplaces, And Skill Managers

Third-party directories are useful for pattern discovery, but they are not official endorsements unless the product owner says so. Label the source type clearly.

  • Official docs: safest source for supported setup behavior.
  • Official registries or marketplaces: useful, but still review permissions and publisher identity.
  • Awesome lists: useful for examples and naming patterns.
  • Team skill managers: best for production reuse because ownership and review can be enforced.

Security Notes

Agent skills often sit close to file access, shell commands, network calls, and private business context. Security review should happen before a skill becomes part of a repo template.

  • Never copy examples containing real account IDs, tokens, customer names, or private URLs.
  • Prefer read-only tools and narrowly scoped commands.
  • Separate public templates from internal policy references.
  • Track source URL and last reviewed date for every imported skill.
  • Require human approval for deploy, purchase, delete, reset, or credential operations.

Official And Community Starting Points

Start with official documentation where available, then use community lists only for discovery and inspiration.

FAQ

What is an agent skills directory?

It is a curated index of reusable agent workflows, skills, rules, commands, templates, or manager tools that help AI coding agents repeat useful work.

Are third-party skill directories official?

No. Unless the product owner explicitly says so, treat third-party directories and awesome lists as community resources, not official endorsement.

Can Cursor rules and Claude Code skills be listed together?

Yes, if the directory labels them as equivalent workflow assets rather than identical file formats.

What should I check before installing an agent skill?

Read every file, check for secrets and broad commands, verify compatibility, test in a low-risk repo, and record the source and review date.

Should production teams use community skills?

They can use community skills as inspiration, but production versions should be reviewed, adapted, owned, and versioned by the team.