What is the Plan Management skill?

It is a specialized capability for Claude that allows it to create, update, and manage structured implementation plans in JSON format to track development progress.

Where are the implementation plans stored?

Active plans are stored in the Docs/Plans/ directory, while finished plans are automatically moved to Docs/Plans/Completed/ for archiving.

How do I start a new implementation plan?

You can use the /plan command followed by your feature request. Claude will research the codebase and generate a multi-phase plan automatically.

Does it track the time spent on tasks?

Yes, the skill allows you to record 'actual effort' for each phase, helping to improve future estimation and track project velocity.

Can this skill handle dependencies between tasks?

Yes, the skill includes dependency validation that prevents a phase from starting until all of its required prerequisite phases are marked as completed.

Plan Management

Name: Plan Management
Author: cdrury526

bycdrury526

Productivity & Workflow

Orchestrates complex feature development by creating and maintaining structured implementation plans with dependency tracking.

About

The Plan Management skill enables Claude to systematically manage the software development lifecycle through machine-readable implementation plans. It provides a robust framework for breaking down large features into manageable phases, assigning tasks to specific subagents, and tracking real-time progress. By leveraging a dedicated Python utility, the skill ensures that dependencies are respected, effort is accurately logged, and project state is preserved in a structured JSON format, making it ideal for teams using AI agents to build complex applications.

Key Features

Dependency-aware status management (start-next, complete-current)
Multi-agent task assignment and phase-based project mapping
Granular progress tracking with completion percentages and effort logging
0 GitHub stars
Automated plan generation using the /plan command
Automated plan archiving and metadata calculation upon completion

Use Cases

Maintaining an audit trail of development effort and implementation steps for project stakeholders
Coordinating work between specialized AI subagents on a single repository
Managing multi-stage feature rollouts that involve backend, frontend, and database changes

About

Key Features

Dependency-aware status management (start-next, complete-current)
Multi-agent task assignment and phase-based project mapping
Granular progress tracking with completion percentages and effort logging
0 GitHub stars
Automated plan generation using the /plan command
Automated plan archiving and metadata calculation upon completion

Use Cases

Maintaining an audit trail of development effort and implementation steps for project stakeholders
Coordinating work between specialized AI subagents on a single repository
Managing multi-stage feature rollouts that involve backend, frontend, and database changes