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Agent Skill · 研究检索

create-user-story(create user story 搜索)

create-user-story 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。

create-user-story 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 62,939。

总安装 324周安装 13GitHub Stars 374下载 105核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:create-user-story(create user story 搜索)
来源仓库:https://github.com/huytieu/cog-second-brain
仓库路径:skills/create-user-story
安装命令:
npx skills add https://github.com/huytieu/cog-second-brain --skill create-user-story
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/huytieu/cog-second-brain --skill create-user-story

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于创建用户故事与问题追踪条目,支持团队协作与去重检查。自动识别重复议题并在多个 tracker 中同步状态,提升管理效率。使用时需描述功能需求或问题现象,系统将生成标准化故事卡片。建议结合项目工作流配置,确保故事进入正确的评审与排期环节。

create-user-story 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/create-user-story

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/huytieu/cog-second-brain --skill create-user-s…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

create-user-story 怎么安装?

在终端执行 npx skills add https://github.com/huytieu/cog-second-brain --skill create-user-story。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

create-user-story 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

create-user-story 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

create-user-story 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

create-user-story 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次,GitHub 374 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

create-user-story 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
create-user-story

create user story 搜索 · 本页

324374调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

COG Create User Story Skill

When to Invoke

  • User wants to create a new user story, feature request, or issue
  • User says "create story", "new story", "add issue", "write user story", "create ticket"
  • User describes a feature or requirement that should be tracked

Agent Mode Awareness

Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:

  • If agent_mode: team — use parallel agents to check for duplicates across all active trackers simultaneously, then create the story
  • If agent_mode: solo — check duplicates and create the story sequentially in the main conversation

Command: /create-user-story

Pre-Flight Check

  1. Read 00-inbox/MY-INTEGRATIONS.md to determine which project trackers are active:

- Linear — use Linear MCP tools - GitHub — use gh CLI - Jira — use jira CLI or Jira API via WebFetch - If NO tracker is active, save the story as a markdown file in 04-projects/[project]/stories/ and inform the user

  1. Read 00-inbox/MY-PROFILE.md to get:

- Active projects (to determine which project/repo/board to target) - User's name (for story author attribution)

  1. Ask the user (if not already provided):

- What is the feature or requirement? (free-form description) - Which project does this belong to? (if multiple active projects) - Priority level? (optional — default to medium)


Execution Strategy

Phase 1: Understand the Request

Parse the user's input to extract:

  • Feature description — what the user wants built
  • Target users — who benefits from this
  • Problem statement — what problem this solves
  • Project context — which project this belongs to

If the user provides a brief description, ask clarifying questions before proceeding:

  • Who is the target user for this feature?
  • What problem does this solve?
  • Are there any specific acceptance criteria you have in mind?

Phase 2: Duplicate Check

CRITICAL: Always check for duplicates before creating.

Team Mode (parallel agents)

Launch duplicate-check agents in parallel using the Task tool with run_in_background: true:

Agent: "duplicate-checker-linear" (if Linear is active)

Search Linear for potential duplicate issues.
1. Use ToolSearch to load Linear tools
2. Use mcp__claude_ai_Linear_2__list_issues to search for issues with similar keywords
3. Search across all active projects/teams
4. Return any issues that match by title similarity or description overlap

Search terms: [extracted keywords from user's description]
Return: list of potential duplicates with title, status, URL, and similarity assessment

Agent: "duplicate-checker-github" (if GitHub is active)

Search GitHub Issues for potential duplicates.
Repository: [CUSTOMIZE: your-org/your-repo]

1. gh search issues "[keywords]" --repo [CUSTOMIZE: your-org/your-repo] --json number,title,state,url,body --limit 20
2. Also search closed issues to check if this was already done:
   gh search issues "[keywords]" --repo [CUSTOMIZE: your-org/your-repo] --state closed --json number,title,state,url --limit 10

Return: list of potential duplicates with title, status, URL, and similarity assessment

Agent: "duplicate-checker-jira" (if Jira is active)

Search Jira for potential duplicate issues.
Project: [CUSTOMIZE: YOUR-PROJECT-KEY]

1. Use WebFetch or jira CLI to search:
   JQL: project = "[CUSTOMIZE: YOUR-PROJECT-KEY]" AND text ~ "[keywords]" ORDER BY created DESC
2. Check both open and recently resolved issues

Return: list of potential duplicates with key, title, status, URL, and similarity assessment
Solo Mode (sequential)

Run the same duplicate checks sequentially for whichever tracker is active.

Phase 3: Report Duplicates (if found)

If potential duplicates are found, present them to the user:

I found [N] potential duplicate(s):

1. **[TITLE]** ([STATUS]) — [URL]
   Similarity: [High/Medium/Low] — [reason]

2. **[TITLE]** ([STATUS]) — [URL]
   Similarity: [High/Medium/Low] — [reason]

Options:
a) These are different — proceed with creating the new story
b) This is a duplicate of #[N] — skip creation
c) This is related to #[N] — create and link them

Wait for user confirmation before proceeding.

Phase 4: Format the User Story

Generate the story in standard user story format:

## Title
[Concise, descriptive title]

## User Story
**As a** [type of user],
**I want** [goal/desire],
**So that** [benefit/value].

## Description
[Expanded description of the feature, including context and background]

## Acceptance Criteria

### Scenario 1: [Happy path scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]

### Scenario 2: [Alternative scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]

### Scenario 3: [Edge case or error scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]

## Technical Notes
[Any implementation hints, constraints, or dependencies — if applicable]

## Out of Scope
[What this story explicitly does NOT cover — helps prevent scope creep]

Present the formatted story to the user for review before creating it.

Phase 5: Create in Tracker

After user approves the story content:

Linear
1. Use ToolSearch to load Linear tools
2. Use mcp__claude_ai_Linear_2__get_team to find the target team
3. Use mcp__claude_ai_Linear_2__list_issue_labels to find appropriate labels
4. Use mcp__claude_ai_Linear_2__save_issue to create the issue with:
   - title: [story title]
   - description: [full story in markdown]
   - team: [target team]
   - priority: [user-specified or default medium]
   - labels: [appropriate labels]
GitHub Issues
gh issue create \
  --repo [CUSTOMIZE: your-org/your-repo] \
  --title "[story title]" \
  --body "[full story in markdown]" \
  --label "[appropriate labels]"
Jira
Use WebFetch to POST to Jira REST API or use jira CLI:
- Project: [CUSTOMIZE: YOUR-PROJECT-KEY]
- Issue Type: Story
- Summary: [story title]
- Description: [full story in markdown/Jira wiki format]
- Priority: [user-specified or default Medium]
- Labels: [appropriate labels]
Vault Fallback (no tracker active)

Save to 04-projects/[project]/stories/story-YYYY-MM-DD-[slug].md

Phase 6: Confirm and Link

  1. Confirm creation with the user: Story created: **[TITLE]** [URL or file path] Priority: [priority] Labels: [labels]
  2. If the user indicated this is related to another issue (Phase 3, option c), create a link/relation between them.
  3. Also save a local copy to 04-projects/[project]/stories/ for vault reference.

Fallback Behavior

ScenarioBehavior
No tracker activeSave as markdown in 04-projects/[project]/stories/
Tracker API failsSave locally, warn user, suggest manual creation with the formatted content
Duplicate check failsWarn user that duplicate check was skipped, proceed with creation after confirmation
User doesn't specify projectList active projects from MY-PROFILE.md and ask which one
User provides minimal inputAsk clarifying questions to build a complete story

Error Handling

  • API rate limits: Wait and retry once, then fall back to local save
  • Authentication failures: Inform user their integration may need re-authentication
  • Large search results: Limit duplicate check to top 10 most relevant matches
  • Context overflow: Summarize duplicate results rather than showing full descriptions

平台分布

Codex

33.47%
按下载量换算35

Claude

32.08%
按下载量换算34

Cursor

18.86%
按下载量换算20

Gemini CLI

8.77%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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