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using-user-stories使用用户故事

Agent Skill

using-user-stories 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

1,848

周安装

77

GitHub Stars

14

下载量

616
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:using-user-stories(使用用户故事)
来源仓库:https://github.com/andrelandgraf/fullstackrecipes
仓库路径:skills/using-user-stories
安装命令:
npx skills add https://github.com/andrelandgraf/fullstackrecipes --skill using-user-stories
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/andrelandgraf/fullstackrecipes --skill using-user-stories

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据任务场景快速定位内容。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围和维护状态,避免触发联网或文件读写。
  • using-user-stories 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Working with User Stories

Document and track feature implementation with user stories. Workflow for authoring stories, building features, and marking acceptance criteria as passing.

User stories document what features should do and track implementation status. When AI agents work through user stories systematically, they produce better results and leave a clear trail of what was done.


Workflow

When working on features:

  1. Author/Update: Create or modify user story features before building
  2. Build & Test: Implement until tests pass
  3. Mark Passing: Set passes: true when verified

When to Create User Stories

Create user stories when:

  • Starting a new feature or flow
  • Fixing a bug that should have test coverage
  • Implementing requirements from a design or spec
  • Breaking down a large feature into testable increments

Writing Effective Steps

Steps should be:

  • Verifiable: Each step can be checked by running the app or tests
  • Imperative: Written as commands ("Navigate to", "Click", "Verify")
  • Specific: Include URLs, button names, expected values

Good:

{
  "description": "User deletes a chat",
  "steps": [
    "Navigate to /chats",
    "Click the menu button on a chat",
    "Click 'Delete' option",
    "Confirm deletion in dialog",
    "Verify chat is removed from list"
  ],
  "passes": false
}

Avoid vague steps:

{
  "description": "User deletes a chat",
  "steps": ["Delete a chat", "Check it worked"],
  "passes": false
}

Documenting Work Done

When completing a feature:

  1. Verify all steps work manually or via tests
  2. Update passes: true in the user story
  3. Commit both the implementation and the updated story

This creates a log of completed work that future agents can reference.


Using with AI Agents

AI agents can read user stories to:

  • Understand what features need to be built
  • Know the exact acceptance criteria
  • Find features that still need work (passes: false)
  • Log their progress by marking features as passing

For automated agent loops, see the Ralph Agent Loop recipe.


Verifying Stories

Run the verification script to check all stories have valid format:

bun run user-stories:verify

This validates:

  • All files are valid JSON
  • Each feature has required fields
  • Steps are non-empty strings
  • Shows pass/fail counts per file

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

29.54%
按下载量换算182

OpenCode

25.11%
按下载量换算155

Cursor

18.65%
按下载量换算115

Gemini CLI

13.13%
按下载量换算81

Antigravity

7.2%
按下载量换算44

Codex

3.68%
按下载量换算23

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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