Plan Creation

Create a structured task_plan.md with phases, goals, and checkbox tracking for persistent planning.

509 stars

Best use case

Plan Creation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Create a structured task_plan.md with phases, goals, and checkbox tracking for persistent planning.

Teams using Plan Creation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/plan-creation/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/methodologies/planning-with-files/skills/plan-creation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/plan-creation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Plan Creation Compares

Feature / AgentPlan CreationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Create a structured task_plan.md with phases, goals, and checkbox tracking for persistent planning.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Plan Creation

Create a structured task_plan.md with phases, goals, and checkbox tracking for persistent planning.

## Agent
Plan Architect - `pwf-plan-architect`

## Workflow
1. Analyze task description to identify logical phases
2. Decompose phases into specific, achievable goals
3. Define phase dependencies and review gates
4. Generate task_plan.md with markdown checkbox format
5. Validate plan completeness and goal coverage
6. If recovering, merge with existing plan state

## Inputs
- `taskDescription` - Description of the task to plan
- `projectPath` - Root path for planning files
- `recoveredState` - Previous session state (optional)
- `customPhases` - Custom phase names (optional)

## Outputs
- task_plan.md with phases, goals, and checkboxes
- Plan object with phase count, total goals, summary

## Process Files
- `planning-orchestrator.js` - Phase 1 plan creation
- `planning-session.js` - Three-file pattern initialization

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