Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计通过

feature-documentation功能文档

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

1,665

周安装

68

GitHub Stars

4

下载量

533
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

2

许可证

unknown

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:feature-documentation(功能文档)
来源仓库:https://github.com/dengineproblem/agents-monorepo
仓库路径:skills/feature-documentation
安装命令:
npx skills add https://github.com/dengineproblem/agents-monorepo --skill feature-documentation
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dengineproblem/agents-monorepo --skill feature-documentation

简介

创建用户导向的全面功能文档,支持不同角色的信息分层呈现。

  • 采用目的优先的结构化组织方式,提供多入口点的信息访问。
  • 建立跨功能引用体系,整合依赖关系和前置条件说明。
  • 适用于需要标准化产品文档生成的团队协作场景。feature-documentation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 仓库安装,兼容主流 AI 编程工具生态。

SKILL.md

Feature Documentation Expert

Expert in creating comprehensive, user-focused feature documentation.

Core Documentation Principles

Structure and Hierarchy

  • Purpose-First Organization: Start with what the feature does and why it matters
  • Progressive Disclosure: Layer information from overview to implementation details
  • Multiple Entry Points: Support different user types (end-users, developers, stakeholders)
  • Cross-Reference Integration: Link related features, dependencies, and prerequisites

Content Framework

# Feature Name

## Overview
- **Purpose**: What problem does this solve?
- **Target Users**: Who benefits from this feature?
- **Key Benefits**: Primary value propositions

## How It Works
- **Core Functionality**: Technical behavior description
- **User Flow**: Step-by-step interaction patterns
- **System Integration**: How it connects with existing features

## Implementation
- **Technical Requirements**: Dependencies, versions, constraints
- **Configuration**: Setup and customization options
- **Code Examples**: Practical usage demonstrations

## Reference
- **Parameters**: Complete specification details
- **Error Handling**: Common issues and solutions
- **Performance**: Limitations, optimization tips

User-Centric Documentation Patterns

Scenario-Based Examples

## Use Cases

### Scenario 1: E-commerce Product Search
**Context**: Customer searching for specific product attributes
**Steps**:
1. User enters search query
2. Feature parses attributes
3. Returns filtered results with relevance scoring

**Expected Outcome**: Highly relevant products displayed

Task-Oriented Structure

  • Quick Start: Get users to first success in under 5 minutes
  • Common Tasks: Address 80% of typical use cases
  • Advanced Usage: Power user scenarios and customization
  • Troubleshooting: Anticipated problems with specific solutions

Technical Implementation Documentation

API Documentation Standards

paths:
  /api/v1/search:
    post:
      summary: Advanced product search with filtering
      description: |
        Performs intelligent search across product catalog
        **Rate Limits**: 100 requests/minute per API key
        **Response Time**: Typically < 200ms

Cross-Functional Communication

Stakeholder Summary Template

## Executive Summary: Feature Name

**Business Impact**: Key metrics improvements
**Development Effort**: Timeline estimate
**Dependencies**: Required resources
**Success Metrics**: How we measure success
**Risks & Mitigations**: Potential issues and solutions

Release Notes Format

## New Feature: Feature Name v2.1

**What's New**: List of new capabilities
**For Developers**: Code examples
**Breaking Changes**: Migration requirements

Quality Assurance Practices

Documentation Review Checklist

  • All code examples tested and functional
  • Covers happy path, edge cases, and error scenarios
  • Technical and non-technical users can understand
  • Version-specific information clearly marked
  • Proper heading structure, alt text for images

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

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

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

Codex

37.19%
按下载量换算198

Claude

33.83%
按下载量换算180

Cursor

17.26%
按下载量换算92

Gemini CLI

9.41%
按下载量换算50

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills