Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 3 skills

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

career-ops is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

career-ops

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

career-ops

Best first install candidate based on install readiness and adoption.

Freshest repo

career-ops

Most recent maintenance signal among this shortlist.

Signallearn

/learn - Extract Reusable Patterns. After completing a complex task (5+ tool calls with cross-scenario reuse potential), suggest "/learn" to the user. When invoked, analyze the current task's approach and distill it into a reusable skill or improve an existing one. Also use when user says "save this as a skill", "remember this approach", or "this is reusable".

career-ops

AI job search command center -- evaluate offers, generate CVs, scan portals, track applications. Use when the user pastes a job URL or JD, asks to scan portals, generate a CV/PDF, track applications, prepare for interviews, draft outreach/emails, or run any career-ops mode.

release-openspec

Use this skill when releasing OpenSpec: audit merged work and changeset coverage, decide whether a catch-up changeset PR is needed, prepare or resume the Changesets Version Packages PR, cut a beta or stable release, verify publishing, and polish GitHub release notes. Also use when asked whether an open release PR is complete, what the next release step is, or to continue a release paused for human approval.

Quality
57/100
Promising
89/100
Excellent
89/100
Excellent
Decision verdict
56/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption34 stars
Verified outcomes are shown on each skill page
74K stars
Verified outcomes are shown on each skill page
71K stars
Verified outcomes are shown on each skill page
FreshnessOct 3, 2026Oct 9, 2026Oct 2, 2026
Use-case fit
Workflow fit
Platform hintsClaude CodeClaude Code, OpenAI Agents, CursorClaude Code
WarningsLow GitHub adoption signal · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forWeb scraping workflows · Claude Code teams · builders willing to evaluate younger projectsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add Yrzhe/claude-skills --skill learn
$ npx skills add career-ops-hq/career-ops --skill career-ops
$ npx skills add Fission-AI/OpenSpec --skill release-openspec