About this skill
Implement, configure, and maintain the LLM Lab for testing skills across multiple LLMs, comparing their results, and building autonomous pipelines. Use when the user mentions LLM lab, Ollama, LiteLLM, Langfuse, DeepEval, local inference, local model, LLM gateway, routing, benchmark, LLM evaluation, LangGraph, skill portability, model comparison, adding a model, lab configuration, lab docker-compose, observability, or LLM tracing. Trigger it as well for any need to set up, maintain, or experiment across multiple models.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 9a98b2913fe9effa1cb8a039b00cda19ee6cbb54e523c0ba0f7518b80634b98e
About this listing
- Category
- Science & research
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.