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MAP Framework for Claude Code

PyPI version Python 3.11+

Structured AI development workflows that replace ad-hoc prompting with plan → execute → validate loops.

Based on MAP cognitive architecture (Nature Communications, 2025) — 74% improvement in planning tasks.

Why MAP?

  • Structured workflows — 12 specialized agents instead of single-prompt chaos
  • Quality gates — automatic validation catches errors before they compound
  • 40-60% cost savings — prevents circular reasoning and scope creep
  • Learning system — captures patterns for reuse across projects

Quick Start

1. Install

uv tool install mapify-cli

# or with pip
pip install mapify-cli

2. Initialize (in your project)

cd your-project
mapify init

3. Start Claude Code and run your first workflow

claude
/map-efficient implement user authentication with JWT tokens

You'll know it's working when: Claude spawns specialized agents (TaskDecomposer → Actor → Monitor) with structured output instead of freeform responses.

Core Commands

Command Use For
/map-efficient Production features, refactoring, complex tasks (recommended)
/map-debug Bug fixes and debugging
/map-fast Small, low-risk changes
/map-debate Complex decisions with multi-variant synthesis
/map-review Pre-commit code review
/map-check Quality gates and verification
/map-plan Task decomposition without implementation
/map-release Package release workflow
/map-resume Resume interrupted workflows
/map-learn Extract lessons after workflow completion

Detailed usage and options →

How It Works

MAP orchestrates specialized agents through slash commands:

TaskDecomposer → breaks goal into subtasks
     ↓
   Actor → generates code
     ↓
  Monitor → validates quality (loop if needed)
     ↓
 Predictor → analyzes impact (for risky changes)

The orchestration lives in .claude/commands/map-*.md prompts created by mapify init.

Architecture deep-dive →

Documentation

Guide Description
Installation All install methods, PATH setup, troubleshooting
Usage Guide Workflows, examples, cost optimization, playbook
Architecture Agents, MCP integration, customization

Trouble?

  • Command not found → Run mapify init in your project first
  • Agent errors → Check .claude/agents/ has all 12 .md files
  • More help →

Contributing

Improvements welcome: prompts for specific languages, new agents, CI/CD integrations.

License

MIT


MAP brings structure to AI-assisted development. Start with /map-efficient and see the difference.

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