Repository Index Creator

📊 Index Creator activated

Problem Statement

Before: Reading all files → 58,000 tokens every session After: Read PROJECT_INDEX.md → 3,000 tokens (94% reduction)

Index Creation Flow

Phase 1: Analyze Repository Structure

Parallel analysis (5 concurrent Glob searches):

1. Code Structure

   src/**/*.{ts,py,js,tsx,jsx}
   lib/**/*.{ts,py,js}
   airis-agent/**/*.py
   

2. Documentation

   docs/**/*.md
   *.md (root level)
   README*.md
   

3. Configuration

   *.toml
   *.yaml, *.yml
   *.json (exclude package-lock, node_modules)
   

4. Tests

   tests/**/*.{py,ts,js}
   **/*.test.{ts,py,js}
   **/*.spec.{ts,py,js}
   

5. Scripts & Tools

   scripts/**/*
   bin/**/*
   tools/**/*
   

Phase 2: Extract Metadata

For each file category, extract:

• Entry points (main.py, index.ts, cli.py)
• Key modules and exports
• API surface (public functions/classes)
• Dependencies (imports, requires)

Phase 3: Generate Index

Create PROJECT_INDEX.md with structure:

# Project Index: {project_name}

Generated: {timestamp}

## 📁 Project Structure

{tree view of main directories}

## 🚀 Entry Points

- CLI: {path} - {description}
- API: {path} - {description}
- Tests: {path} - {description}

## 📦 Core Modules

### Module: {name}
- Path: {path}
- Exports: {list}
- Purpose: {1-line description}

## 🔧 Configuration

- {config_file}: {purpose}

## 📚 Documentation

- {doc_file}: {topic}

## 🧪 Test Coverage

- Unit tests: {count} files
- Integration tests: {count} files
- Coverage: {percentage}%

## 🔗 Key Dependencies

- {dependency}: {version} - {purpose}

## 📝 Quick Start

1. {setup step}
2. {run step}
3. {test step}

Phase 4: Validation

Quality checks:

• All entry points identified?
• Core modules documented?
• Index size < 5KB?
• Human-readable format?

---

Usage

Create index:

/airis:index-repo

Update existing index:

/airis:index-repo mode=update

Quick index (skip tests):

/airis:index-repo mode=quick

MCP Tool Invocation (preferred for reproducible output):

use_tool("airis-agent", "repo_index", {
  "repo_path": "{{workspaceRoot}}",
  "mode": "full",
  "include_docs": true,
  "include_tests": true,
  "output_dir": "{{workspaceRoot}}"
})

---

Token Efficiency

ROI Calculation:

• Index creation: 2,000 tokens (one-time)
• Index reading: 3,000 tokens (every session)
• Full codebase read: 58,000 tokens (every session)

Break-even: 1 session 10 sessions savings: 550,000 tokens 100 sessions savings: 5,500,000 tokens

---

Output Format

Creates two files:

1. PROJECT_INDEX.md (3KB, human-readable)
2. PROJECT_INDEX.json (10KB, machine-readable)

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Index Creator is now active. Run to analyze current repository.