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

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

Strongest overall

Sim

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

Fastest prototype

Sim

Best first install candidate based on install readiness and adoption.

Freshest repo

Sim

Most recent maintenance signal among this shortlist.

SignalAx

The pretty much "official" DSPy framework for Typescript

Sim

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Pyspur

A visual playground for agentic workflows: Iterate over your agents 10x faster

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption2.8K stars
0 installs
29K stars
0 installs
5.7K stars
0 installs
26K stars
0 installs
FreshnessJun 12, 2026Jun 13, 2026May 25, 2026Jun 12, 2026
Use-case fit
RAG and knowledgeGitHub automationCoding agents
RAG and knowledgeGitHub automationCoding agents
RAG and knowledgeCoding agentsBrowser automation
RAG and knowledgeBrowser automationGitHub automation
Stack fit
RAG knowledge baseContent growth agent
RAG knowledge baseContent growth agent
RAG knowledge baseContent growth agent
RAG knowledge baseBrowser QA agent
Platform hintsTypeScript, RAG, Claude CodeTypeScript, RAG, Claude CodeTypeScript, RAG, Claude CodeMDX, RAG, Claude Code, OpenAI Agents
WarningsNo major risk signals from current metadataNo major risk signals from current metadataNo major risk signals from current metadataNo major risk signals from current metadata
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge 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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0 install copies
Install
$ npx skills add ax-llm/ax
$ npx skills add simstudioai/sim
$ npx skills add PySpur-Dev/pyspur
$ npx skills add deepset-ai/haystack