superpowers-writing-plans
Use when you have an approved spec or requirements for a multi-step task, before touching code. Transforms an approved design into a detailed, file-level implementation plan with one action per task s
SKILL.mdskills/superpowers-writing-plans/SKILL.md
GitHubWriting Plans Skill
Purpose: Transform an approved design into a detailed, bite-sized implementation plan.
Announce at start: "I'm using the writing-plans skill to create the implementation plan."
Plan File Location
Save to docs/superpowers/plans/YYYY-MM-DD-<feature-name>.md
(User preferences for plan location override this default.)
Step 1: Scope Check
If the spec covers multiple independent subsystems, they should have been broken into sub-project specs during brainstorming. If not, suggest breaking into separate plans — one per subsystem. Each plan should produce working, testable software on its own.
Step 2: File Structure Mapping
Before defining tasks, map which files will be created or modified:
- Design units with clear boundaries and well-defined interfaces
- Each file has one clear responsibility
- Files that change together should live together
- Follow established patterns in existing codebases
- Prefer smaller, focused files over large ones
This structure informs task decomposition.
Step 3: Plan Document Header
Every plan MUST start with this header.
Also reference any existing {phase}-CONTEXT.md from the project for
implementation constraints already captured.
# [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]
---
Step 4: Task Structure
Each step is one action (2-5 minutes):
### 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**
```python
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"
## Step 5: Plan Review Loop
After writing the complete plan:
1. Dispatch a single `plan-document-reviewer` subagent with precisely crafted review context — never your session history
2. Provide: path to the plan document, path to spec document
3. If issues found: fix the issues, re-dispatch reviewer for the whole plan
4. If approved: proceed to execution handoff
5. If loop exceeds 3 iterations: surface to human for guidance
Reviewers are advisory — explain disagreements if you believe feedback is incorrect.
## Step 6: Execution Handoff
After saving the plan, offer execution choice:
**"Plan complete and saved. Two execution options:**
**1. Subagent-Driven (recommended)** - 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?**
## Key Principles
- Exact file paths always
- Complete code in plan (not "add validation")
- Exact commands with expected output
- Reference relevant skills with @ syntax
- DRY, YAGNI, TDD, frequent commits
- One action per step (2-5 minutes)
## Integration
- **Required sub-skill:** `superpowers-subagent-driven-development` or `superpowers-executing-plans`
- **Called by:** `superpowers-brainstorming`
- **Creates:** plan document at `docs/superpowers/plans/`
- **Prerequisite:** approved design spec from brainstorming