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 4 skills

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

Add more skills

Decision summary

Implement is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Implement

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

Fastest prototype

Implement

Best first install candidate based on install readiness and adoption.

Freshest repo

Appsmith

Most recent maintenance signal among this shortlist.

Signal	skill-upper Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.	Code Review Review a branch or diff against repository standards and the originating spec in two independent analysis passes.	Appsmith Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.	Implement Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
Quality	76/100 Strong	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	87/100 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.	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.
Adoption	846 stars Verified outcomes are shown on each skill page	169K stars Verified outcomes are shown on each skill page	41K stars

Signal

skill-upper

Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.

Code Review

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Appsmith

Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

Implement

Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.

Quality

76/100

Strong

100/100

Excellent

100/100

Excellent

100/100

Excellent

Decision verdict

87/100

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.

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.

Adoption

846 stars

Verified outcomes are shown on each skill page

169K stars

Verified outcomes are shown on each skill page

41K stars