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writing-plans写作计划

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

1,697

周安装

70

GitHub Stars

2

下载量

554
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:writing-plans(写作计划)
来源仓库:https://github.com/izyanrajwani/agent-skills-library
仓库路径:skills/writing-plans
安装命令:
npx skills add https://github.com/izyanrajwani/agent-skills-library --skill writing-plans
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/izyanrajwani/agent-skills-library --skill writing-plans

简介

writing-plans 用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写,适合让 Agent 提炼结构、补齐章节、统一术语或检查链接。

  • 适用于需要文档结构优化、术语统一和链接检查的内容创作场景。
  • 核心能力包括文档结构梳理、内容格式化和可读性提升。
  • 使用时需保留项目已有事实、命令和路径,避免将未确认信息写成确定结论。
  • 涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

SKILL.md

Writing Plans

Overview

Create implementation plans for an engineer with zero codebase context.

Each plan includes:

  • Exact file paths for every operation
  • Complete code (not "add validation here")
  • Test-first approach with verification commands
  • Bite-sized steps (2-5 min each)

Principles: DRY, YAGNI, TDD, frequent commits.

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Context: Run in dedicated worktree. If none exists, use using-git-worktrees skill first.

Save plans to: docs/plans/YYYY-MM-DD-<feature-name>.md

Before Writing

  1. Read spec/requirements completely
  2. Explore project structure (view.)
  3. Identify tech stack (package.json, pyproject.toml, etc.)
  4. Note existing patterns in similar files
  5. Check docs/ for existing conventions

Bite-Sized Task Granularity

Each step is one action (2-5 minutes), independently verifiable:

  • "Write the failing test" — step
  • "Run it to confirm failure" — step
  • "Implement minimal code to pass" — step
  • "Run tests to confirm pass" — step
  • "Commit" — step

Plan Document Header

Every plan MUST start with this header:

# [Feature Name] Implementation Plan

**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**

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"

Before Handoff

Verify plan completeness:

  • Every file path exists or will be created
  • Every command can be run exactly as written
  • No TODO/placeholder text remains
  • Tests cover all acceptance criteria from spec
  • Include exact test code, not descriptions

Execution Handoff

After saving plan, present:

"Plan saved to docs/plans/<filename>.md. Choose execution mode:

  1. Subagent-Driven — same session, fresh subagent per task, fast iteration
  2. Parallel Session — new session, batched execution with checkpoints

Which approach?"

If Subagent-Driven chosen

  • Stay in this session
  • REQUIRED SUB-SKILL: subagent-driven-development
  • Fresh subagent per task + two-stage review

If Parallel Session chosen

  • Guide user to open new session in worktree
  • REQUIRED SUB-SKILL: New session uses executing-plans

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.57%
按下载量换算164

OpenCode

21.77%
按下载量换算121

windsurf

16.99%
按下载量换算94

Codex

13.44%
按下载量换算74

github-copilot

7.9%
按下载量换算44

Antigravity

3.56%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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