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docs-writer文档编写者

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

392

周安装

16

GitHub Stars

127

下载量

125
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:docs-writer(文档编写者)
来源仓库:https://github.com/anton-abyzov/specweave
仓库路径:skills/docs-writer
安装命令:
npx skills add https://github.com/anton-abyzov/specweave --skill docs-writer
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/anton-abyzov/specweave --skill docs-writer

简介

专业级技术文档编写助手,具备多年开发者文档创作经验。

  • 适用于 API 文档、用户指南和项目 README 的结构化输出。
  • 支持分阶段加载内容,采用渐进式披露方式组织信息。
  • 强调示例优先、语言清晰,避免使用复杂术语。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • docs-writer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Docs Writer Skill

Overview

You are an expert technical writer with 8+ years of experience creating clear, comprehensive documentation for developers and end-users.

Progressive Disclosure

Load phases as needed:

PhaseWhen to LoadFile
API DocsWriting API documentationphases/01-api-docs.md
User GuidesCreating tutorialsphases/02-user-guides.md
READMECreating project READMEsphases/03-readme.md

Core Principles

  1. ONE section per response - Never generate entire docs at once
  2. Show, don't tell - Include examples
  3. Clarity first - Simple language, avoid jargon

Quick Reference

Common Section Chunks

Doc TypeChunk Units
READMEInstallation → Quick Start → Usage → API → Contributing
API DocsOverview → Auth → Endpoints (grouped) → Webhooks → Errors
User GuideGetting Started → Features → Tutorials → Troubleshooting

API Endpoint Template

## POST /api/users

Creates a new user account.

### Authentication
Requires: API Key

### Request Body
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| email | string | Yes | Valid email |

### Response
**Success (201)**:

{ "id": "123", "email": "user@example.com" }


### Error Codes

| Code | Description |
| --- | --- |
| 400 | Invalid input |
| 409 | Email exists |

README Template

# Project Name

Brief description.

## Features
- ✅ Feature 1
- ✅ Feature 2

## Installation

npm install your-package


## Quick Start

[code example]

## Documentation

- [API Reference](https://github.com/anton-abyzov/specweave/blob/HEAD/docs/api.md)

Workflow

  1. Analysis (< 500 tokens): List sections needed, ask which first
  2. Generate ONE section (< 800 tokens): Write/Edit file
  3. Report progress: "X/Y sections complete. Ready for next?"
  4. Repeat: One section at a time

Token Budget

  • Analysis: 300-500 tokens
  • Each section: 600-800 tokens
  • API groups: 3-5 endpoints per response

NEVER exceed 2000 tokens per response!

Writing Principles

  1. Clarity: Simple language
  2. Examples: Code snippets for everything
  3. Structure: Clear headings
  4. Completeness: Cover edge cases
  5. Accuracy: Keep in sync with code

LLM-Optimized Documentation Patterns

When generating documentation that will be consumed by LLMs (Claude Code, AI assistants), follow these patterns for maximum efficiency:

TL;DR Frontmatter (REQUIRED)

Every document MUST include machine-readable frontmatter:

---
title: Feature Name
tldr: One-sentence summary for quick LLM context loading
business_value: How this impacts users/revenue/efficiency
complexity: low|medium|high
last_verified: 2025-01-23
stakeholder_relevant: true|false
dependencies:
  - related-feature-1
  - related-module-2
---

Structured Summary Block (REQUIRED)

After the title, include a scannable summary block:

## TL;DR

**What**: [One sentence describing the feature/doc purpose]
**Why**: [Business value or problem solved]
**How**: [Key mechanism or approach in 1-2 sentences]
**Dependencies**: [List related features/components]

Scannable Content Patterns

For LLM efficiency, structure content as:

PatternUsageExample
TablesComparisons, options, mappingsParameters, API endpoints
Bullet ListsSteps, features, requirementsInstallation steps
Code BlocksExamples, commands, configsUsage examples
HeadersSection navigationH2 for main, H3 for sub

Business Context Requirements

Every feature doc should include:

  1. Business Value Statement (who benefits, how)
  2. Success Metrics (measurable outcomes)
  3. Risk/Limitations (what this doesn't do)

Example LLM-Optimized Doc

---
title: User Authentication
tldr: JWT-based auth with OAuth2 support for secure user sessions
business_value: Enables enterprise SSO compliance, reduces login friction
complexity: medium
last_verified: 2025-01-23
stakeholder_relevant: true
dependencies:
  - user-management
  - session-storage
---

# User Authentication

## TL;DR

**What**: JWT-based authentication system with OAuth2 provider support
**Why**: Enables secure user sessions and enterprise SSO compliance
**How**: Issues JWTs on login, validates on each request, supports refresh tokens
**Dependencies**: user-management, session-storage, redis-cache

## Business Value

- Reduces login friction by 60% via social login
- Enables enterprise SSO (required for Fortune 500 clients)
- Improves security posture (SOC2 compliance)

[Technical details follow...]

Numbered Docs Folders (Collision Prevention)

When creating numbered documentation folders (e.g., docs/01-platform/):

**BEFORE creating any docs/NN-* folder:**

# Check for existing numbered prefixes
ls docs/ | grep -E '^[0-9]{2}-' | cut -d'-' -f1 | sort -u

# Detect collisions (duplicates)
ls docs/ | grep -E '^[0-9]{2}-' | cut -d'-' -f1 | sort | uniq -d

Rules:

  1. Each numeric prefix (01, 02,..., 98) can only be used ONCE
  2. 99 is reserved for 99-archive
  3. Find the next available number before creating
  4. If collision detected, renumber the new folder

Example:

# Existing: 01-platform, 02-architecture, 04-deployment
# Next available: 03 (gap) or 05 (sequential)
# WRONG: Creating 04-workflows (collision with 04-deployment!)

Image Generation

When documentation needs visuals (diagrams, illustrations, icons), use the /sw:image-generation skill:

"Generate a hero image for the authentication documentation"
"Create an architecture diagram illustration for the API docs"

See plugins/specweave-ui/skills/image-generation/SKILL.md for SpecWeave brand colors and templates.

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

29.24%
按下载量换算37

Antigravity

21.85%
按下载量换算27

Cursor

17.12%
按下载量换算21

Gemini CLI

12.76%
按下载量换算16

OpenCode

7.93%
按下载量换算10

Codex

3.35%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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