O que ragmap faz?
RAG MCP Registry Finder (RAGMap): subregistro API + servidor MCP + ingestão no Firestore
RAG MCP Registry Finder (RAGMap): subregistro API + servidor MCP + ingestão no Firestore
O RAGMap (RAG MCP Registry Finder) é uma ferramenta que combina uma API de subregistro com um servidor MCP e um pipeline de ingestão para o Firestore. Ele permite que agentes de IA consultem e descubram recursos em subregistros de forma eficiente, utilizando técnicas de Retrieval-Augmented Generation (RAG) para enriquecer as respostas. A integração com o Firestore oferece persistência e escalabilidade, enquanto o servidor MCP expõe as funcionalidades como uma ferramenta de linha de comando ou serviço. Útil para desenvolvedores que precisam de um mecanismo de busca semântica e gerenciamento de registros de agentes em ambientes distribuídos. Plataformas suportadas incluem ambientes Node.js e Python, com uso direto via MCP.
npx skills add khalidsaidi/ragmapInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
RAG MCP Registry Finder (RAGMap): subregistro API + servidor MCP + ingestão no Firestore
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.