Writing Plans
この Skill は、コードベースの知識がまったくないエンジニア向けに、詳細で段階的な実装計画を生成します。複雑なタスクを実行可能な小さなステップに分解し、正確なファイルパス、コード例、テスト手順を含めることで、開発効率とコード品質を大幅に向上させ、プロジェクトのスムーズな進行を保証します。
git clone https://github.com/obra/superpowers-skills.gitBefore / After 効果比較
1 组ユーザーやチームが新機能の詳細な実装計画を手動で作成する際、コンテキストの理解、タスクの分解、具体的な手順の記述に多くの時間を費やしていました。このプロセスは時間がかかり、重要な詳細を見落としがちで、開発の遅延や手戻りの原因となっていました。
この Skill は、構造が明確で詳細な実装計画を迅速に生成し、複雑なタスクを実行可能な小さな単位に分解します。これにより、計画時間が大幅に短縮され、タスクの正確性と一貫性が保証され、開発プロセスが加速されます。
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):
- "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 Claude:** Use `${SUPERPOWERS_SKILLS_ROOT}/skills/collaboration/executing-plans/SKILL.md` 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**
```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"
## Remember
- 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
## 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:**
- Use skills/collaboration/subagent-driven-development
- Stay in this session
- Fresh subagent per task + code review
**If Parallel Session chosen:**
- Guide them to open new session in worktree
- New session uses skills/collaboration/executing-plans
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