XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Autonomous spec-driven development agent. Syncs DEVSPEC.md into chapter-based reference files, identifies the next pending task from the schedule, implements code following spec architecture and patterns, runs tests with up to 3 auto-fix rounds, and persists progress with atomic commits. Use when user says "auto…
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QATESTPLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks.…
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A resume-writing skill based on the Modular RAG MCP Server project. RAG means retrieving relevant information before generating an answer; MCP is a standard way for an agent to use external tools.
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Guide for creating effective agent skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations. Use when user says "create skill", "new skill", "build a skill", "update skill", or…
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A practice interview agent for the Modular RAG MCP Server project. RAG means retrieval-augmented generation: an AI system that looks up relevant information before answering questions.
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Clean and package the project for distribution. Removes pycache, .venv, build artifacts, data caches, logs, IDE files, coverage reports, and sanitizes API keys in config. Produces a minimal, ready-to-share codebase. Use when user says 'package', 'clean project', 'clean up', '打包', '清理项目', '清理缓存', 'prepare for…
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Interactive project learning coach via interview-style Q&A. Reads codebase and docs, dynamically generates interview questions per knowledge domain and sub-topic, conducts up to 4 follow-up rounds, scores answers, provides learning guidance with code/doc references, and persists progress. 10 domains × 3-5 sub-topics =…
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A guided study assistant for the Modular RAG MCP Server project. RAG means retrieving relevant information before generating an answer, and MCP is a way for an AI agent to use tools.
XBW-Leo/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
Interactive project setup wizard. From a clean codebase, guides user through provider selection (OpenAI/Azure/DeepSeek/Ollama/Qwen/Gemini/etc.), API key configuration, dependency installation, config generation, and launches the dashboard. If user selects an unimplemented provider, auto-scaffolds the provider code…
XBW-Leo/MODULAR-RAG-MCP-SERVER
MCP server Claude CodeCodexCursor +2
MCP server "modular-rag-mcp-server" as configured in XBW-Leo/MODULAR-RAG-MCP-SERVER. Runs locally from the modular-rag-mcp-server Python package.