AI Agent Skills

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug…

OpenClaw / QClaw plugin that visualizes AI agents as 3D NPCs in a game town — with social simulation, a map editor, and a character workshop.

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

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Evaluation and Tracking for LLM Experiments and AI Agents

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.

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

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