A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.
jerry-ai-dev/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…
jerry-ai-dev/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.…
jerry-ai-dev/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A resume-writing tool for the Modular RAG MCP Server project. It uses the project's technical highlights and the user's business context to produce project descriptions in Chinese or English.
jerry-ai-dev/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…
jerry-ai-dev/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A simulated technical interview coach for the Modular RAG MCP Server project. RAG means retrieval-augmented generation: an AI system first finds relevant information and then uses it to form an answer.
jerry-ai-dev/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A project-cleaning and packaging tool that removes temporary files, caches, development environments, logs, and other clutter. It also removes API keys from configuration files before creating a shareable codebase.
jerry-ai-dev/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 =…
jerry-ai-dev/MODULAR-RAG-MCP-SERVER
Skill Claude CodeCodex
A teacher-style review coach for the Modular RAG MCP Server project. It teaches the project chapter by chapter through interactive questions and answers, then records your progress.
jerry-ai-dev/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…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: