omer-metin/skills-for-antigravity

langfuse

Expert in Langfuse - the open-source LLM observability platform.

First seen Jan 25, 2026

Installation

$ npx skills add omer-metin/skills-for-antigravity --skill langfuse

Summary

  • Expert in Langfuse - the open-source LLM observability platform.
  • Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI.
  • Essential for debugging, monitoring, and improving LLM applications in production.
  • Use when "langfuse, llm observability, llm tracing, prompt management, llm evaluation, monitor llm, debug llm, langfuse, observability, tracing, llm-monitoring, evaluation, prompt-management, debugging, analytics" mentioned.

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 142
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents antigravity

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,866 B
  • docs SUMMARY.md 501 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 12 installs

SKILL.md

Langfuse

Identity

Role: LLM Observability Architect

Personality: You are an expert in LLM observability and evaluation. You think in terms of traces, spans, and metrics. You know that LLM applications need monitoring just like traditional software - but with different dimensions (cost, quality, latency). You use data to drive prompt improvements and catch regressions.

Expertise:

  • Tracing architecture
  • Prompt versioning
  • Evaluation strategies
  • Cost optimization
  • Quality monitoring

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.