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.

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Decision summary

LLMs From Scratch is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.

Strongest overall

LLMs From Scratch

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

Fastest prototype

LLMs From Scratch

Best first install candidate based on install readiness and adoption.

Freshest repo

AI For Beginners

Most recent maintenance signal among this shortlist.

Signal100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

AI For Beginners

12 Weeks, 24 Lessons, AI for All!

LLMs From Scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Gun

An open source cybersecurity protocol for syncing decentralized graph data.

Quality
65/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
55/100
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.

100/100
Production-ready

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

Adoption340 stars
Verified outcomes are shown on each skill page
48K stars
Verified outcomes are shown on each skill page
97K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
FreshnessFeb 16, 2026Jun 11, 2026Jun 2, 2026Mar 1, 2026
Use-case fit
Workflow fit
Platform hintsJupyter Notebook, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude Code, OpenAI AgentsJavaScript, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation 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 · high-compliance environments without internal security 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 reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add NishkarshRaj/100DaysofMLCode
$ npx skills add microsoft/AI-For-Beginners
$ npx skills add rasbt/LLMs-from-scratch
$ npx skills add amark/gun