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

Langfuse is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Langfuse

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

Fastest prototype

Langfuse

Best first install candidate based on install readiness and adoption.

Freshest repo

Langfuse

Most recent maintenance signal among this shortlist.

SignalPezzo

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

Opik

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Langfuse

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Langtrace

Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
84/100
Strong
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.

86/100
Production-ready

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

Adoption3.2K stars
0 installs
20K stars
0 installs
29K stars
0 installs
1.2K stars
0 installs
FreshnessMar 31, 2026Jun 13, 2026Jun 13, 2026Nov 17, 2025
Use-case fit
Stack fit
Platform hintsTypeScript, LLMOps, Claude Code, OpenAI Agents, LangChainPython, LLMOps, Claude Code, LangChainTypeScript, LLMOps, Claude Code, OpenAI Agents, LangChainTypeScript, LLMOps, Claude Code, OpenAI Agents, LangChain
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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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Install
$ npx skills add pezzolabs/pezzo
$ npx skills add comet-ml/opik
$ npx skills add langfuse/langfuse
$ npx skills add Scale3-Labs/langtrace