Verified:GitHub

index

11|3|Updated Jan 29, 2026

Search Tags:#automation #indexing #codebase #rag #mcp #developer-tools

Ready to run

npx skills add https://github.com/artk0de/TeaRAGs-MCP --skill index-artk0de

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: index
Source: https://github.com/artk0de/TeaRAGs-MCP/tree/main/.claude-plugin/tea-rags/skills/index
Command: npx skills add https://github.com/artk0de/TeaRAGs-MCP --skill index-artk0de

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the inefficiency of manual codebase indexing and registration, ensuring your AI agent always works with the most current, stable, and relevant code context.

Core Features & Use Cases

Unified Registration & Indexing: Automatically registers a project alias and performs the initial index in a single, seamless command.
Incremental Reindexing: Efficiently updates only the changed files in an already registered codebase to save time and tokens.
Use Case: When starting a new session in a large monorepo, use this skill to quickly register the project and index the codebase so your agent can immediately begin referencing stable, battle-tested code.

Quick Start

Use the index skill to register and index the codebase located at the current directory as a new project.

Frequently Asked Questions about index

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate codebase indexing for an MCP-compatible AI agent?▼

Automating codebase indexing for an MCP-compatible AI agent involves registering a project alias and executing the initial index in a single command. This Skill automates that registration and performs delta-based updates to maintain current context.

Does incremental reindexing for AI code context update only changed files?▼

Incremental reindexing for AI code context updates only the changed files in an already registered codebase. This delta-based approach saves time and tokens compared to a full reindex, ensuring efficient context management.

Do I need a TeaRAGs MCP server to register a local codebase for AI agents?▼

You need the TeaRAGs MCP server to register a local codebase for AI agents because this Skill requires integration with it to execute CLI-based indexing operations and manage the project registry.

What is the best way to manage RAG context for a large monorepo with an AI agent?▼

The best way to manage RAG context for a large monorepo is to register the directory path to a project alias and perform an initial index. This allows your agent to immediately begin referencing stable code.

Why does my AI agent lack stable code context when working in a local development environment?▼

Your AI agent lacks stable code context when the local codebase has not been registered or indexed. Automating the directory path registration and incremental indexing ensures the agent always works with the most current code.