AI Agent Skills

Evidence-driven Agent Skills for design award research, evaluation, award matching, entry writing, and submission readiness.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hos…

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applet…

Paste any GitHub URL → interactive architecture map. See how files connect, find what breaks if you change something. No install, no accounts — runs entirely in your bro…

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguou…

Convert scientific papers, theses, technical reports, source code, figures, inventor notes, or research manuscripts into evidence-grounded Chinese invention patent draft…

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

🐢 Open-Source Evaluation & Testing library for LLM Agents

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from developmen…

Evaluation and Tracking for LLM Experiments and AI Agents

Agent Skills for Langfuse, the open source LLM engineering platform for tracing, prompt management, and evaluation

Architecture-first skill lifecycle for AI agents. 6 modes: CREATE / IMPROVE / VALIDATE / REVIEW / OPTIMIZE / PACKAGE. BinEval binary scoring with threshold-blind, cross-…

38 marketing skills + 5 commands for Claude Code & 35+ AI agents: SEO/GEO + influencer marketing (IMPACT). Frameworks: CORE-EEAT, CITE, C3.

AI Observability & Evaluation

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimi…