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

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

Strongest overall

Maigret

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

Fastest prototype

Maigret

Best first install candidate based on install readiness and adoption.

Freshest repo

design-information-prep

Most recent maintenance signal among this shortlist.

Signal	design-information-prep Extract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms. Use when a user asks to prepare, draft, adapt, translate, or validate application text for iF, iF Student, Red Dot Product Design, IDEA, DIA, K-Design, GOOD DESIGN AWARD Japan, Core77, James Dyson, or EPDA. Also use to build a reusable project dossier from briefs, decks, reports, manuals, patents, research, images, or prior application materials. Do not use for award selection alone, winner retrieval, design-quality scoring, final file-format auditing, or winning-probability prediction.	Wazuh Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.	Maigret 🕵️‍♂️ Collect a dossier on a person by username from 3000+ sites	Nuclei Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Quality	77/100 Strong	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	88/100 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	1.0K stars Verified outcomes are shown on each skill page	16K stars Verified outcomes are shown on each skill page	33K stars Verified outcomes are shown on each skill page