One-click install
npx skills add https://github.com/ArtemYurov/TomoBar --skill aif-plan-artemyurov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-plan
Source: https://github.com/ArtemYurov/TomoBar/tree/main/.claude/skills/aif-plan
Command: npx skills add https://github.com/ArtemYurov/TomoBar --skill aif-plan-artemyurov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning and documenting implementation work for features or tasks is often manual and inconsistent. This skill provides a structured workflow to generate plans, capture scope, and organize tasks so teams can execute reliably.

Core Features & Use Cases

  • Supports Fast mode for quick planning without a git branch
  • Supports Full mode to create a git branch and save a formal plan
  • Generates plan files in .ai-factory and .ai-factory/plans with clear task definitions and optional commit checkpoints

Quick Start

Describe the feature or task to begin a structured planning session.

Frequently Asked Questions about aif-plan

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

FAQPage Schema
How do I create a structured implementation plan for feature development?

To create a structured implementation plan, describe your feature or task to initiate a planning session that generates formal plan files with clear task definitions, logging requirements, and commit checkpoints.

Can I generate a quick plan without creating a git branch?

Yes, you can generate a quick plan without a git branch by using Fast mode, which produces a structured implementation plan without the overhead of branch creation or saving formal plan files.

Does the planning workflow support git branches and parallel worktrees?

Yes, Full mode supports git branch creation and optional parallel worktrees, saving formal plans into the .ai-factory/plans directory to guide end-to-end delivery with commit checkpoints.

What is the best way to document scope and organize tasks for reliable execution?

The best way to document scope is to use a canonical plan format that captures task definitions and logging requirements, ensuring teams can execute feature development work reliably and consistently.

Where are the generated plan files stored during a full planning session?

Generated plan files are stored in the .ai-factory and .ai-factory/plans directories, containing clear task definitions and optional commit checkpoints to guide the implementation workflow.