roadmap

Plan and execute AI development projects with hierarchical task decomposition and Git integration.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/pablontiv/praxis --skill roadmap-pablontiv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: roadmap
Source: https://github.com/pablontiv/praxis/tree/main/.claude/skills/roadmap
Command: npx skills add https://github.com/pablontiv/praxis --skill roadmap-pablontiv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured framework for planning, decomposing, and executing complex projects, especially when AI agents are involved in the development process. It ensures clarity, traceability, and efficient execution from high-level epics down to individual tasks.

Core Features & Use Cases

  • Hierarchical Planning: Decompose projects into Epics, Features, Stories, and Tasks.
  • Automated Scaffolding: Generate roadmap files and structure based on project needs.
  • Task Execution Loop: Run and track tasks sequentially with automated commits and optional PRs.
  • Dependency Management: Visualize and manage dependencies between tasks and stories.
  • Use Case: Kickstart a new AI feature by defining its Epics and Features, then use the loop to execute the development tasks, ensuring all code adheres to project standards and is tracked via Git.

Quick Start

Use the roadmap skill to plan a new project by describing its core intention.

Frequently Asked Questions about roadmap

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

FAQPage Schema
How do I plan and execute AI-driven development projects?

You can manage AI-driven development projects by decomposing them into Epics, Features, Stories, and Tasks, then using a task execution loop with automated commits. This framework provides hierarchical planning and progress tracking.

What is the best way to break down complex software features into trackable tasks?

Breaking down complex software features involves hierarchical decomposition into Epics, Features, Stories, and Tasks. This structured approach ensures clarity, traceability, and efficient execution from high-level goals to individual tasks.

Can I automate Git commits and pull requests during AI task execution?

Yes, you can automate Git commits and pull requests during task execution. The framework runs tasks sequentially in a loop, automatically committing code and optionally creating PRs to track progress.

How do I bootstrap project structure for a new AI feature?

You can bootstrap project structure using automated scaffolding tools that generate roadmap files based on your project needs. Describe the core intention of your new AI feature to kickstart the planning process.

Does this project management approach support visualizing dependencies between stories?

Yes, this project management approach supports dependency management, allowing you to visualize and manage dependencies between tasks and stories within your AI development workflow.

What are the limitations of using hierarchical planning for AI agent workflows?

Hierarchical planning for AI agent workflows requires strict decomposition into Epics and Tasks, which may not suit projects needing highly flexible or non-linear execution models without predefined structures.