writing-plans — official writing-plans, superpowers, official, ide skills

Verified
v1.0.0

About this Skill

Ideal for Code Analysis Agents requiring structured implementation planning and documentation. Use when you have a spec or requirements for a multi-step task, before touching code

obra obra
[113.6k]
[9110]
Updated: 3/26/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 10/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
10/11
Quality Score
80
Canonical Locale
en
Detected Body Locale
en

Ideal for Code Analysis Agents requiring structured implementation planning and documentation. Use when you have a spec or requirements for a multi-step task, before touching code

Core Value

Empowers agents to create comprehensive, step-by-step implementation plans using Markdown, incorporating principles like DRY, YAGNI, and TDD, with frequent commits, making it easier to manage complex projects and collaborate with other agents or human developers.

Ideal Agent Persona

Ideal for Code Analysis Agents requiring structured implementation planning and documentation.

Capabilities Granted for writing-plans

Automating the creation of detailed implementation plans for multi-step tasks
Generating test-driven development workflows with clear, bite-sized tasks
Documenting file structures and responsibilities for better code organization

! Prerequisites & Limits

  • Requires a dedicated worktree for each project
  • Assumes the agent has basic knowledge of software development principles but may lack context about the specific codebase or problem domain
  • Follows established patterns in existing codebases, avoiding unilateral restructuring unless necessary for clarity or maintainability

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Curated Collection Review

Reviewed In Curated Collections

This section shows how Killer-Skills includes, reviews, and maintains this skill inside curated collections, so you can see where it fits in practical selection paths instead of relying only on the upstream README.

Reviewed Collection

Claude Code Workflow Tools to Install First

Reviewed 2026-04-17

Reviewed on 2026-04-17 for setup clarity, maintainer reliability, review coverage, and operator handoff readiness. We kept the tools that make Claude Code easier to trial and easier to standardize.

People landing here usually already know they want Claude Code. What they need next is a smaller list tied to review, guardrails, and handoff instead of another broad skills roundup.

6 entries Killer-Skills editorial review with monthly collection checks.
Reviewed Collection

Windsurf Workflow Tools to Install First

Reviewed 2026-04-17

Reviewed on 2026-04-17 for setup clarity, maintainer reliability, review support, and handoff readiness. We kept the tools that make Windsurf easier to trial, explain, and standardize.

People landing here usually already know they want Windsurf. What they need next is a smaller list tied to coding speed, review support, rules sync, and handoff instead of another broad skills roundup.

5 entries Killer-Skills editorial review with monthly collection checks.
Reviewed Collection

12 Official AI Agent Skills & Trusted Tools to Install First

Reviewed 2026-04-16

Reviewed on 2026-04-16 for official ownership, documentation quality, install clarity, and production relevance. This is the safest collection to use as a default starting point.

We prioritize this page because it lets users verify trust first and then move into one clear installation path instead of bouncing across more repo lists.

12 entries Maintained through Killer-Skills editorial review with trust, install-path, and operator checks.
After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

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?

Ideal for Code Analysis Agents requiring structured implementation planning and documentation. Use when you have a spec or requirements for a multi-step task, before touching code

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 the creation of detailed implementation plans for multi-step tasks, Generating test-driven development workflows with clear, bite-sized tasks, Documenting file structures and responsibilities for better code organization.

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 a dedicated worktree for each project. Assumes the agent has basic knowledge of software development principles but may lack context about the specific codebase or problem domain. Follows established patterns in existing codebases, avoiding unilateral restructuring unless necessary for clarity or maintainability.

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.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

writing-plans

Install writing-plans, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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

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