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
Swarms
Most recent maintenance signal among this shortlist.
| Signal | Advanced RAG Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents. | Prompt Engineering 22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs. | Swarms The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai | 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 | 48/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 38/100 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 | 481 stars 0 installs | 7.6K stars 0 installs | 6.9K stars 0 installs | 18K stars 0 installs |
| Freshness | Apr 26, 2024 | Jun 11, 2026 | Jun 15, 2026 | May 19, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code, OpenAI Agents, LangChain | Jupyter Notebook, Machine Learning, Claude Code, OpenAI Agents | Python, Machine Learning, Claude Code, OpenAI Agents | 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 | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 NisaarAgharia/Advanced_RAG | $ npx skills add NirDiamant/Prompt_Engineering | $ npx skills add kyegomez/swarms | $ npx skills add meta-llama/llama-cookbook |