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Writing Plans

  • 200k installs
  • 262k repo stars
  • Updated July 24, 2026
  • obra/superpowers

writing-plans is a Superpowers skill that generates implementation plans with file maps, task decomposition, and TDD discipline for developers who need to scope multi-step features before writing code.

About

writing-plans is a Superpowers meta-skill for generating implementation plans before any code is written. The skill assumes zero context about the codebase and produces bite-sized tasks with exact file paths, test examples, and commit boundaries. Developers use writing-plans when they have a spec or requirements for multi-step work and need to decompose it into a reviewable, checkpointed plan.

  • Comprehensive plan structure with file mapping and task right-sizing
  • TDD-first approach with self-review checklist for completeness
  • Bite-sized task granularity with step-by-step code and test cycles

Writing Plans by the numbers

  • 200,157 all-time installs (skills.sh)
  • +9,572 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #25 of 3,301 Productivity & Planning skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

writing-plans capabilities & compatibility

Capabilities
spec decomposition · task planning · architecture documentation
npx skills add https://github.com/obra/superpowers --skill writing-plans

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Listed on Skillselion
Installs200k
repo stars262k
Security audit3 / 3 scanners passed
Last updatedJuly 24, 2026
Repositoryobra/superpowers

How do you turn a spec into an implementation plan?

Generate comprehensive implementation plans for multi-step features before coding starts

Who is it for?

Teams building features from specs who need documented task boundaries and commit checkpoints before development

Skip if: Emergency bug fixes or refactors where a plan document would slow iteration more than it helps

When should I use this skill?

You have a spec or requirements document and need to translate it into a structured implementation plan

What you get

Executable task list with per-task file paths, testing steps, doc references, and commit checkpoints

  • implementation plan document
  • file-structure map
  • task list with code examples

By the numbers

  • Plans assume zero prior codebase context for the implementing engineer
  • Embeds three engineering principles: DRY, YAGNI, and TDD in every plan

Files

SKILL.mdMarkdownGitHub ↗

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: If working in an isolated worktree, it should have been created via the superpowers:using-git-worktrees skill at execution time.

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:

# [Feature Name] Implementation Plan

> **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.

**Goal:** [One sentence describing what this builds]

**Architecture:** [2-3 sentences about approach]

**Tech Stack:** [Key technologies/libraries]

---

Task Structure

````markdown

Task N: [Component Name]

Files:

  • Create: exact/path/to/file.py
  • Modify: exact/path/to/existing.py:123-145
  • Test: tests/exact/path/to/test.py
  • [ ] Step 1: Write the failing test
def test_specific_behavior():
    result = function(input)
    assert result == expected
  • [ ] Step 2: Run test to verify it fails

Run: pytest tests/path/test.py::test_name -v Expected: FAIL with "function not defined"

  • [ ] Step 3: Write minimal implementation
def function(input):
    return expected
  • [ ] Step 4: Run test to verify it passes

Run: pytest tests/path/test.py::test_name -v Expected: PASS

  • [ ] Step 5: Commit
git add tests/path/test.py src/path/file.py
git commit -m "feat: add specific feature"

````

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

Related skills

Forks & variants (3)

Writing Plans has 3 known copies in the catalog totaling 226 installs. They canonicalize to this original listing.

How it compares

Pick writing-plans for greenfield multi-file work; use lighter inline planning for single-file scoped changes.

FAQ

When should writing-plans run?

writing-plans runs when a spec or requirements exist for a multi-step task and before any code is touched, producing file-mapped tasks and a testing strategy.

What does a writing-plans output include?

writing-plans outputs bite-sized tasks with file paths, testing steps, documentation references, and commit guidance assuming the engineer has zero codebase context.

Is Writing Plans safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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