
writing-plans
by averycrespi
My opinionated resources for working with Claude Code
SKILL.md
name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code
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."
Save plans to: .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:
For Claude: REQUIRED SUB-SKILL: Use Skill(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
Each task must following this structure:
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
- 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, ask the user if they want to execute:
"Plan complete and saved to .plans/<filename>.md. Ready to execute?"
If yes:
- REQUIRED SUB-SKILL: Use Skill(executing-plans)
- Implements tasks inline with subagent review gates
- Spec compliance review after each task
- Code quality review after each task
If no:
- Plan is saved for later execution
- User can run
Skill(executing-plans)in any session
Native Task Integration
REQUIRED: Use Claude Code's native task tools to create structured tasks alongside the plan document.
Creating Native Tasks
As each task is written in the plan, create a corresponding native task:
TaskCreate:
subject: "Task N: [Component Name]"
description: |
**Files:**
- Create: `exact/path/to/file.py`
- Test: `tests/path/test.py`
**Steps:**
1. Write failing test
2. Run test to verify failure
3. Implement minimal code
4. Run test to verify pass
5. Commit
**Acceptance Criteria:**
- Test exists and fails initially
- Implementation passes test
- Committed with descriptive message
activeForm: "Implementing [Component Name]"
Setting Dependencies
After all tasks are created, set blockedBy relationships based on task order:
TaskUpdate:
taskId: [task-id]
addBlockedBy: [prerequisite-task-ids]
Task 2 is blocked by Task 1, Task 3 is blocked by Task 2, etc., unless the plan specifies otherwise.
Notes
- Plan document remains the permanent record (persists across sessions)
- Native tasks provide CLI-visible progress tracking
- Tasks are session-scoped; executing-plans will re-create from plan if needed
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です
