Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Llama Cookbook is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Llama Cookbook
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llama Cookbook
Best first install candidate based on install readiness and adoption.
Freshest repo
Great Expectations
Most recent maintenance signal among this shortlist.
| Signal | SwiftLLM A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of vLLM). | Ml Engineering Machine Learning Engineering Open Book | Great Expectations Always know what to expect from your data. | Llama Cookbook Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services |
|---|---|---|---|---|
| Quality | 51/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 41/100 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. |
| Adoption | 329 stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 10, 2025 | May 18, 2026 | Jun 13, 2026 | May 19, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, MLOps, Claude Code, OpenAI Agents | Python, Machine Learning, Claude Code | Python, MLOps, Claude Code | Jupyter Notebook, Machine Learning, Claude Code, LangChain |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add interestingLSY/swiftLLM | $ npx skills add stas00/ml-engineering | $ npx skills add fivetran/great_expectations | $ npx skills add meta-llama/llama-cookbook |