Writing Plans
Use when you have a spec or requirements for a multi-step task, before touching code
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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/plans/YYYY-MM-DD-<feature-name>.md
Bite-Sized Task Granularity
Each step is one action (2-5 minutes):
Plan Document Header
Every plan MUST start with this header:
# [Feature Name] Implementation Plan > **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. **Goal:** [One sentence describing what this builds] **Architecture:** [2-3 sentences about approach] **Tech Stack:** [Key technologies/libraries] ---
Task Structure
### 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"
Remember
Execution Handoff
After saving the plan, offer execution choice:
**"Plan complete and saved to docs/plans/<filename>.md. Two execution options:**
1. Subagent-Driven (this session) - I dispatch fresh subagent per task, review between tasks, fast iteration
2. Parallel Session (separate) - Open new session with executing-plans, batch execution with checkpoints
Which approach?"
If Subagent-Driven chosen:
If Parallel Session chosen:
How to Use & Getting Started
# Step 1: Initialize skill agent setup
npx skills add Writing Plans --install-production
python -m pip install -r requirements.txt
codex plugin install Writing Plans@latest
export API_KEY=secret_token_key_here
Installation Runbook & Walkthrough Locked
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