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Writing Plans

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Use when you have a spec or requirements document for implementing a feature, and need to create a detailed development plan with exact file paths, test strategies, and step-by-step coding tasks before writing code. Covers implementation planning, task breakdown, and TDD workflow design.

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  • Added September 9, 2026
developmentpythongobashtestinggit

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A100/100

Scanned September 9, 2026

npx -y skills add GACLove/feishu-aily-skills --skill writing-plans --agent claude-code

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SKILL.md
---
name: writing-plans
description: Use when you have a spec or requirements document for implementing a feature, and need to create a detailed development plan with exact file paths, test strategies, and step-by-step coding tasks before writing code. Covers implementation planning, task breakdown, and TDD workflow design.
---

# 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.

**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:**

```markdown
# [Feature Name] Implementation Plan

> **For Agent:** Use task tool with subagent_type="writer" or "slide" 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

````markdown
### 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**

```python
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**

```bash
# Check git status first
git status
# If not a git repo, initialize first: git init
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 Execution (separate subtasks)** - Use task tool to create independent subtasks for batch execution with checkpoints

**Which approach?"**

**If Subagent-Driven chosen:**
- Stay in this session
- Use `task` tool with appropriate `subagent_type` (writer/slide) per task + code review

**If Parallel Execution chosen:**
- Use `map` tool for parallel task execution
- Or use multiple `task` calls for independent subtasks

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