Use when you have a spec or requirements for a multi-step task, before touching code
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install writing-plans或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install writing-plans⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/writing-plans/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code ---
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-
Each step is one action (2-5 minutes):
Every plan MUST start with this header:
# [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 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**
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"
After saving the plan, offer execution choice:
"Plan complete and saved to docs/plans/. 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:
If Parallel Session chosen:
安装 Writing Plans 后,可以对 AI 说这些话来触发它
Help me get started with Writing Plans
Explains what Writing Plans does, walks through the setup, and runs a quick demo based on your current project
Use Writing Plans to use when you have a spec or requirements for a multi-step task, bef...
Invokes Writing Plans with the right parameters and returns the result directly in the conversation
What can I do with Writing Plans in my product manager workflow?
Lists the top use cases for Writing Plans, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/writing-plans/ 目录(个人级,所有项目可用),或 .claude/skills/writing-plans/(项目级)。重启 AI 客户端后,用 /writing-plans 主动调用,或让 AI 根据上下文自动发现并使用。
Writing Plans 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Writing Plans 可免费安装使用。请查阅仓库了解许可证信息。
Use when you have a spec or requirements for a multi-step task, before touching code
Writing Plans 属于「Product Manager」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my product manager tasks using Writing Plans
Identifies repetitive steps in your workflow and sets up Writing Plans to handle them automatically