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.
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.
| Signal | Contoso Chat This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping. | Mlflow The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. | 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 | Opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. |
|---|---|---|---|---|
| Quality | 68/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 762 stars 0 installs | 27K stars 0 installs | 29K stars 0 installs | 20K stars 0 installs |
| Freshness | Oct 3, 2025 | Jun 14, 2026 | Jun 13, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Bicep, LLMOps, Claude Code, OpenAI Agents | Python, LLMOps, Claude Code, LangChain | TypeScript, LLMOps, Claude Code, OpenAI Agents, LangChain | Python, LLMOps, Claude Code, LangChain |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | 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 | 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 | 3 views 0 install copies |
| Install | $ npx skills add Azure-Samples/contoso-chat | $ npx skills add mlflow/mlflow | $ npx skills add langfuse/langfuse | $ npx skills add comet-ml/opik |