map-workflows-guide

Selects optimal MAP Framework workflow for given development tasks.

42|3|Updated Oct 6, 2025
One-click install
npx skills add https://github.com/azalio/map-framework --skill map-workflows-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: map-workflows-guide
Source: https://github.com/azalio/map-framework/tree/main/src/mapify_cli/templates/skills/map-workflows-guide
Command: npx skills add https://github.com/azalio/map-framework --skill map-workflows-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-code-cli, python, mapify-cli, git, cipher-mcp, and includes references (resource) components.

What problem does it solve?

This Skill simplifies the complex decision of choosing the optimal MAP Framework workflow for your development tasks. It helps you balance token costs, learning capabilities, and quality gates, ensuring you always use the most efficient and effective AI strategy.

Core Features & Use Cases

  • Decision Tree: A quick, interactive guide to select the best workflow (/map-fast, /map-efficient, /map-feature, /map-debug, /map-refactor) based on your task.
  • Comparison Matrix: Understand the trade-offs in token cost, learning, and quality gates for each workflow at a glance.
  • Deep Dives: Access detailed explanations of each workflow's optimization strategy, agent orchestration, and specific use cases.
  • Use Case: When starting a new feature, ask "Which workflow should I use for implementing user authentication?" and get a recommendation for /map-feature with a clear explanation of why.

Quick Start

Which MAP workflow should I use for building a new production feature with moderate complexity?

Frequently Asked Questions about map-workflows-guide

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

FAQPage Schema
How do I choose the right MAP workflow for my development task?

MAP workflows optimize for different scenarios: /map-fast for quick experiments, /map-efficient for cost-conscious work, /map-feature for production features, /map-debug for troubleshooting, and /map-refactor for code improvements. Select based on task complexity, token budget, and quality requirements.

What's the difference between MAP workflows in terms of token cost and quality?

Each MAP workflow balances token efficiency and output quality differently. /map-fast prioritizes speed with higher token use; /map-efficient reduces costs; /map-feature ensures quality for production; /map-debug and /map-refactor target specific optimization needs. The decision tree matches your constraints to the best fit.

Can I use MAP workflows with Claude Code CLI and git for production features?

Yes. MAP workflows integrate with claude-code-cli, git, and mapify-cli to handle production features through /map-feature, which applies quality gates, learning strategies, and agent orchestration suited to production-grade code changes.

How do MAP workflows handle learning and quality gates for complex tasks?

MAP workflows apply per-subtask or batched learning strategies and integrate quality gates to ensure consistency. /map-feature and /map-debug use stricter gates for sensitive work; /map-efficient and /map-fast use lighter gates. The framework cross-references Agent Architecture and Cipher memory for context preservation.

What dependencies do I need to run MAP workflow selection?

MAP workflow selection requires claude-code-cli, python, mapify-cli, git, and cipher-mcp. These tools enable command execution, workflow orchestration, version control, and memory system integration for decision consistency and cost tracking.

When should I use /map-refactor instead of /map-feature for code changes?

/map-refactor optimizes for improving existing code quality and structure; /map-feature builds new production functionality. Use /map-refactor when refactoring legacy code or improving maintainability; use /map-feature when adding new user-facing or business-critical features.

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