Backend retrieval skill for structured search of occupational health standards and documents, returning relevant text with source and clause details.
Provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach.
Semantic knowledge base allowing ingest, search, and retrieval of saved texts, URLs, and files using embeddings and SQLite.
将 Agent 已解读好的正文写入 Qdrant（kb_main）。仅做 chunk、embedding 和向量写入，不负责抓取与精炼。
--- name: infinite-memory version: 1.0.0 description: High-precision memory with 100% recall accuracy for long contexts. emoji: 🦞 metadata: clawdbot: requires: bins: -
Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings. Index your memory, knowledge, and skills for natural language retrieval and AI-powered answers.
Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LL...
Find HICSS papers by topic, author, or year range. Explore sections and keywords to surface relevant research. Retrieve full document details to speed up literature reviews.
High-precision memory with 100% recall accuracy for long contexts.
Static call graph analyzer for Go projects using SSA + VTA. Provides impact analysis, upstream/downstream queries, risk assessment, and interface tracking — so AI editors know exactly what code is aff
RAGFlow知识库问答与操作指导。调用RAGFlow知识库API进行智能问答，并基于知识库返回结果提供agent操作建议。支持流式输出，耐心等待完整响应生成。当
高级 RAG 助手，具备 Agentic RAG 思考能力。能够自动化管理 RAGTOP 知识库，并在执行深度调研任务时，调用 RAGTOP 后端接口。使用场景包括：(1) 列出知识库
Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
Complete Open WebUI API integration for managing LLM models, chat completions, Ollama proxy operations, file uploads, knowledge bases (RAG), image generation, audio processing, and pipelines. Use this
AI/ML engineering specialist for building intelligent features, RAG systems, LLM integrations, data pipelines, vector search, and AI-powered applications. Us...
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clar...
Validate and troubleshoot the hybrid database system used by OpenClaw agents (Pulse task DB + RAG Pinecone stack). Use when asked to check setup, connection...
Ecosystem differentiation audit pack. MCP firewall, RAG pipeline, sandbox exec, context health, provenance tracking, cost analytics, and token budget optimiz...