writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
Best use case
writing-plans is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when you have a spec or requirements for a multi-step task, before touching code
Teams using writing-plans should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/writing-plans/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How writing-plans Compares
| Feature / Agent | writing-plans | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when you have a spec or requirements for a multi-step task, before touching code
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:**
```markdown
# [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
```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
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:**
- **REQUIRED SUB-SKILL:** Use superpowers: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
- **REQUIRED SUB-SKILL:** New session uses superpowers:executing-plansRelated Skills
writing-wechat-tech-posts
Writes complete WeChat tech posts (hook, TOC, body, checklists, image placement, layout notes, summaries). Use when the user asks to draft a WeChat tech article, generate reusable prompts for writing, or turn a topic/outline into a publish-ready post.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
titling-wechat-tech-posts
Crafts and rewrites WeChat tech post titles across multiple patterns (list, contrast, outcome, scenario, anti-myth, template). Use when the user needs headline brainstorming or “restrained but clickable” title rewrites for tech/engineering WeChat公众号.
planning-wechat-tech-account
Defines WeChat tech public-account positioning, audience segmentation, content pillars, and long-term columns. Use when the user asks about account positioning, reader personas, content strategy, or column planning for a tech/engineering WeChat公众号.
outlining-wechat-tech-posts
Builds WeChat-friendly outlines for tech posts, including multi-level TOC, reader-benefit lines per section, pitfalls and action checklists, and 30-second skim summaries. Use when the user asks for outlines, structures, or tutorial-style blueprints for tech/engineering WeChat公众号.
iterating-wechat-tech-posts
Generates endings/CTAs, pre-publish editorial QA, sentence sharpening, and post-performance retrospectives for WeChat tech posts. Use when the user needs a strong ending, final edit pass, or analytics-driven iteration plan for tech/engineering WeChat公众号.
ideating-wechat-tech-topics
Generates WeChat tech article topics, series, and angles with difficulty and “hit potential” scoring. Use when the user asks for topic ideas, content calendars, anti-myth angles, or serialized planning for tech/engineering WeChat公众号.
formatting-wechat-tech-posts
Designs image plans and rewrites formatting for WeChat-friendly readability (short paragraphs, bolding, separators, restrained emoji). Use when the user asks for illustration ideas, layout guidance, or to convert a draft into publish-ready WeChat formatting.
evidencing-wechat-tech-posts
Produces credible case-study writeups, non-hallucinated data handling, and fact-check lists for WeChat tech posts. Use when the user needs a project recap, results narrative, citations guidance, or “what to verify” checklists in tech/engineering WeChat公众号.
tech-explainer-writer
Use when drafting, rewriting, or polishing public-facing tech explainers for general readers. Trigger on requests to explain complex technical concepts, AI products, system mechanisms, industry trends, or jargon-heavy material in plain language; to turn notes, links, transcripts, slides, or drafts into popular-science articles,公众号内容, scripts, summaries, or “一看就懂” explanations.
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always