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feature-generator特征生成器

Agent Skill

feature-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

753

周安装

32

GitHub Stars

20

下载量

264
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-generator(特征生成器)
来源仓库:https://github.com/unlearndev/skills
仓库路径:skills/feature-generator
安装命令:
npx skills add https://github.com/unlearndev/skills --skill feature-generator
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/unlearndev/skills --skill feature-generator

简介

将 spec.md 扩展为结构化 features.md,按实施顺序组织任务。

  • 自动维护文件同步,支持 AI 代理逐步推进功能开发。
  • 需依赖 spec.md 存在,否则提示用户创建或调用 spec-generator。
  • 适用于敏捷开发流程,提升需求到实现的衔接效率。
  • feature-generator 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Feature Generator Skill

Expand a spec.md into a detailed features.md, ordered by the sequence an AI agent would most successfully implement them (dependency order). Keep both files in sync when either is modified.


Step 1: Check for spec.md

Before doing anything, check whether spec.md exists in the current context or has been provided by the user.

If spec.md does not exist: Tell the user: "There's no spec.md yet — you'll need to create one first. If you have the spec-generator skill enabled, I can kick that off for you now. Would you like to do that?"

Do not proceed until spec.md is available.


Step 2: Generating features.md

Read spec.md fully. Extract every discrete piece of functionality implied by the spec — from user roles, core features, and technical stack. Then produce features.md following the format below.

Ordering rules

Order features by implementation dependency — what must exist before something else can be built. Think like an AI agent working top to bottom through the file:

  1. Foundation first — database, auth, core models
  2. Then the simplest user-facing flows that depend on nothing else
  3. Then features that build on those
  4. Admin/internal features after customer-facing equivalents
  5. Cross-cutting concerns (notifications, rate limiting, etc.) last

features.md format

Each feature follows this exact structure:

# [Product Name] — Features

---

## [N]. [Feature Name]

[One sentence describing what this feature does and who it's for.]

**User flow**
1. [Step]
2. [Step]
3. [Step]

**UI overview**
[2–4 sentences describing the key UI elements involved.]

---

Rules:

  • Every feature gets a number, a user flow, and a UI overview — no exceptions
  • User flows are written from the perspective of the actor (customer, team member, visitor)
  • UI overview describes what the user sees and interacts with, not implementation detail
  • No sub-bullets inside user flows — numbered steps only
  • Horizontal rules (---) between every feature and after the title

Step 3: Syncing changes

When the user modifies either spec.md or features.md and asks to sync:

If spec.md was modified:

  • Identify what changed (new features added, features removed, features altered)
  • Update only the relevant features in features.md to reflect those changes
  • Add new features in the correct dependency order position
  • Remove features that no longer exist in the spec
  • Do not touch features that are unaffected

If features.md was modified:

  • Identify what changed (features added, removed, or substantially altered)
  • Update only the relevant sections of spec.md to reflect those changes
  • Preserve all other spec content exactly as-is
  • Do not rewrite or reformat untouched sections

Always confirm with the user what changed before syncing, so they can verify the right things are being updated.


Output

Save features.md to /mnt/user-data/outputs/features.md and present it using present_files.

If syncing changes to spec.md, save the updated version to /mnt/user-data/outputs/spec.md and present both files.

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

32.57%
按下载量换算86

Claude

29.89%
按下载量换算79

Cursor

19.89%
按下载量换算53

Gemini CLI

9.92%
按下载量换算26

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。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

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