EdmendZ/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…
EdmendZ/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.…
EdmendZ/Modular-Rag-Mcp-Server
Skill Claude CodeCodex
A skill for writing tailored résumé project descriptions from the Modular RAG MCP Server project and a user's business context.
EdmendZ/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…
EdmendZ/Modular-Rag-Mcp-Server
Skill Claude CodeCodex
A simulated technical-interview agent for the Modular RAG MCP Server project. It can optionally read a user's résumé, ask follow-up questions across three areas, and save an interview report.
EdmendZ/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…
EdmendZ/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 =…
EdmendZ/Modular-Rag-Mcp-Server
Skill Claude CodeCodex
A teacher-style review agent for the Modular RAG MCP Server project. RAG, or retrieval-augmented generation, combines an AI model with information retrieved from project materials.
EdmendZ/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…
EdmendZ/Modular-Rag-Mcp-Server
MCP server Claude CodeCodexCursor
MCP server "modular-rag-mcp-server" as configured in EdmendZ/Modular-Rag-Mcp-Server. Runs locally from the modular-rag-mcp-server Python package.