writing-plans — for Claude Code writing-plans, superpowers, official, for Claude Code, ide skills, implementation planning, task decomposition, DRY principles, YAGNI methodology, TDD workflow, Claude Code

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v1.0.0
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About this Skill

Perfect for Development Agents needing structured implementation planning and documentation. writing-plans is a skill that generates comprehensive implementation plans for multi-step tasks, assuming zero context and questionable taste, to help developers work efficiently.

Features

Create implementation plans using DRY principles
Decompose tasks into manageable chunks with clear boundaries
Define file structures with focused responsibilities
Produce working, testable software with frequent commits
Document plans in Markdown format for easy reference

# Core Topics

obra obra
[123.2k]
[10036]
Updated: 3/30/2026

Agent Capability Analysis

The writing-plans skill by obra is an open-source official AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for for Claude Code, implementation planning, task decomposition.

Ideal Agent Persona

Perfect for Development Agents needing structured implementation planning and documentation.

Core Value

Empowers agents to create comprehensive implementation plans using Markdown, with features like task decomposition, file structure mapping, and test-driven development, utilizing protocols such as TDD and DRY.

Capabilities Granted for writing-plans

Automating implementation planning for multi-step tasks
Generating documentation for complex projects
Debugging codebases with unclear implementation plans

! Prerequisites & Limits

  • Requires dedicated worktree setup
  • Assumes skilled developer with limited context knowledge
  • Follows established codebase patterns
Labs Demo

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writing-plans

Streamline your development workflow with the writing-plans AI agent skill, designed for skilled developers to create comprehensive implementation plans,...

SKILL.md
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Writing Plans

Overview

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Context: This should be run in a dedicated worktree (created by brainstorming skill).

Save plans to: docs/superpowers/plans/YYYY-MM-DD-<feature-name>.md

  • (User preferences for plan location override this default)

Scope Check

If the spec covers multiple independent subsystems, it should have been broken into sub-project specs during brainstorming. If it wasn't, suggest breaking this into separate plans — one per subsystem. Each plan should produce working, testable software on its own.

File Structure

Before defining tasks, map out which files will be created or modified and what each one is responsible for. This is where decomposition decisions get locked in.

  • Design units with clear boundaries and well-defined interfaces. Each file should have one clear responsibility.
  • You reason best about code you can hold in context at once, and your edits are more reliable when files are focused. Prefer smaller, focused files over large ones that do too much.
  • Files that change together should live together. Split by responsibility, not by technical layer.
  • In existing codebases, follow established patterns. If the codebase uses large files, don't unilaterally restructure - but if a file you're modifying has grown unwieldy, including a split in the plan is reasonable.

This structure informs the task decomposition. Each task should produce self-contained changes that make sense independently.

Bite-Sized Task Granularity

Each step is one action (2-5 minutes):

  • "Write the failing test" - step
  • "Run it to make sure it fails" - step
  • "Implement the minimal code to make the test pass" - step
  • "Run the tests and make sure they pass" - step
  • "Commit" - step

Plan Document Header

Every plan MUST start with this header:

markdown
1# [Feature Name] Implementation Plan 2 3> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. 4 5**Goal:** [One sentence describing what this builds] 6 7**Architecture:** [2-3 sentences about approach] 8 9**Tech Stack:** [Key technologies/libraries] 10 11---

Task Structure

markdown
1### Task N: [Component Name] 2 3**Files:** 4- Create: `exact/path/to/file.py` 5- Modify: `exact/path/to/existing.py:123-145` 6- Test: `tests/exact/path/to/test.py` 7 8- [ ] **Step 1: Write the failing test** 9 10```python 11def test_specific_behavior(): 12 result = function(input) 13 assert result == expected 14``` 15 16- [ ] **Step 2: Run test to verify it fails** 17 18Run: `pytest tests/path/test.py::test_name -v` 19Expected: FAIL with "function not defined" 20 21- [ ] **Step 3: Write minimal implementation** 22 23```python 24def function(input): 25 return expected 26``` 27 28- [ ] **Step 4: Run test to verify it passes** 29 30Run: `pytest tests/path/test.py::test_name -v` 31Expected: PASS 32 33- [ ] **Step 5: Commit** 34 35```bash 36git add tests/path/test.py src/path/file.py 37git commit -m "feat: add specific feature" 38```

No Placeholders

Every step must contain the actual content an engineer needs. These are plan failures — never write them:

  • "TBD", "TODO", "implement later", "fill in details"
  • "Add appropriate error handling" / "add validation" / "handle edge cases"
  • "Write tests for the above" (without actual test code)
  • "Similar to Task N" (repeat the code — the engineer may be reading tasks out of order)
  • Steps that describe what to do without showing how (code blocks required for code steps)
  • References to types, functions, or methods not defined in any task

Remember

  • Exact file paths always
  • Complete code in every step — if a step changes code, show the code
  • Exact commands with expected output
  • DRY, YAGNI, TDD, frequent commits

Self-Review

After writing the complete plan, look at the spec with fresh eyes and check the plan against it. This is a checklist you run yourself — not a subagent dispatch.

1. Spec coverage: Skim each section/requirement in the spec. Can you point to a task that implements it? List any gaps.

2. Placeholder scan: Search your plan for red flags — any of the patterns from the "No Placeholders" section above. Fix them.

3. Type consistency: Do the types, method signatures, and property names you used in later tasks match what you defined in earlier tasks? A function called clearLayers() in Task 3 but clearFullLayers() in Task 7 is a bug.

If you find issues, fix them inline. No need to re-review — just fix and move on. If you find a spec requirement with no task, add the task.

Execution Handoff

After saving the plan, offer execution choice:

"Plan complete and saved to docs/superpowers/plans/<filename>.md. Two execution options:

1. Subagent-Driven (recommended) - I dispatch a fresh subagent per task, review between tasks, fast iteration

2. Inline Execution - Execute tasks in this session using executing-plans, batch execution with checkpoints

Which approach?"

If Subagent-Driven chosen:

  • REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development
  • Fresh subagent per task + two-stage review

If Inline Execution chosen:

  • REQUIRED SUB-SKILL: Use superpowers:executing-plans
  • Batch execution with checkpoints for review

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is writing-plans?

Perfect for Development Agents needing structured implementation planning and documentation. writing-plans is a skill that generates comprehensive implementation plans for multi-step tasks, assuming zero context and questionable taste, to help developers work efficiently.

How do I install writing-plans?

Run the command: npx killer-skills add obra/superpowers/writing-plans. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for writing-plans?

Key use cases include: Automating implementation planning for multi-step tasks, Generating documentation for complex projects, Debugging codebases with unclear implementation plans.

Which IDEs are compatible with writing-plans?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for writing-plans?

Requires dedicated worktree setup. Assumes skilled developer with limited context knowledge. Follows established codebase patterns.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add obra/superpowers/writing-plans. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use writing-plans immediately in the current project.

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