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Agent Skill · 研究检索

job-story-mapper(工作故事映射器)

job-story-mapper 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。

job-story-mapper 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,权限为只读;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 73,675 个 Skill 里排第 69,522。

总安装 218周安装 9GitHub Stars 283下载 71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:job-story-mapper(工作故事映射器)
来源仓库:https://github.com/mohitagw15856/pm-claude-skills
仓库路径:skills/job-story-mapper
安装命令:
npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill job-story-mapper
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/mohitagw15856/pm-claude-skills --skill job-story-mapper

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。

job-story-mapper 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。它可能用于映射工作故事或需求关联,具体用途需结合原始 README 进一步确认。

安装命令为 npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill job-story-mapper。使用前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

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。

来源仓库内路径:skills/job-story-mapper

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/mohitagw15856/pm-claude-skills --skill job-sto…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

job-story-mapper 怎么安装?

在终端执行 npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill job-story-mapper。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

job-story-mapper 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。

job-story-mapper 需要什么权限?

权限级别是只读。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。

job-story-mapper 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。

job-story-mapper 用的人多吗?

公开数据是累计安装 218 次,近一周安装 9 次,下载 71 次,GitHub 283 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。

job-story-mapper 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
job-story-mapper

工作故事映射器 · 本页

218283只读未明确通过

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

Job Story Mapper Skill

Stop writing features. Start understanding jobs. This skill translates product requirements and user interviews into precise job stories that keep the team focused on outcomes — not outputs.

Jobs-to-be-Done Fundamentals

A "job" is the progress a customer is trying to make in a given situation. People don't buy products — they hire them to get a job done.

Three dimensions of every job:

  • Functional job: The practical task ("get from A to B")
  • Emotional job: How they want to feel ("feel confident I made the right choice")
  • Social job: How they want to be perceived ("look like a competent professional to my team")

Great products address all three. Most roadmaps only address the functional one.


Job Story Format

Template:

When [situation/trigger], I want to [motivation/goal], so I can [expected outcome].

Not a user story: User stories focus on roles and features: "As a [role] I want [feature] so that [benefit]." Job stories focus on situations and motivations: "When [I'm in this specific situation] I want [this capability] so I can [achieve this outcome]."

The situation is the most important part. "When I'm in the middle of a sprint and my PM asks for an update" is a much richer trigger than "As a developer."


Mapping Process

Step 1: Identify the main job

One sentence: What is the core job your product is hired for?

"Help [user type] [accomplish outcome] when [context]."

Step 2: Break into job steps

What are all the sub-tasks within the main job? (Use a job map: Define → Locate → Prepare → Confirm → Execute → Monitor → Modify → Conclude)

Step 3: Identify pain points per step

Where does the job fall down today? Where do customers use workarounds?

Step 4: Write job stories for each pain point

One job story per distinct situation-motivation pair.

Step 5: Map to product opportunities

Which job stories are underserved? Which have existing solutions? Where is your differentiation?


Output Format

Job Story Map — [Product/Feature Area] — [Date]

Core Job Statement:

When [context], [user type] wants to [main job outcome], so they can [ultimate goal].

Job Map:

StepSub-JobCurrent SolutionPain PointsUnderserved?
Define[What user does][Tool/method used][Frustration]H/M/L
Locate
Prepare
Confirm
Execute
Monitor
Modify
Conclude

Job Stories (prioritised by underservice):

Job Story 1 — [Situation label]

When [specific situation], I want to [motivation], so I can [outcome].

Functional dimension: [What they need to get done] Emotional dimension: [How they want to feel] Social dimension: [How they want to be perceived]

Current workaround: [What they do today] Pain intensity: [High / Medium / Low] Frequency: [How often this situation occurs] Product opportunity: [What we could build to address this]


Repeat for each major job story.

Opportunity Scoring: Rate each job story on:

  • Importance to customer (1–10)
  • Satisfaction with current solution (1–10)
  • Opportunity score = Importance + max(Importance – Satisfaction, 0)
  • Prioritise: Opportunity score > 10

Quality Checks

  • Job stories use the "When / I want to / So I can" format (not user story format)
  • Situation is specific (not "as a user" — a real moment or trigger)
  • All three dimensions covered: functional, emotional, social
  • Opportunity score calculated for each job story
  • Current workaround identified for each high-opportunity story
  • Product opportunity is distinct from "build the feature" (it's an outcome)

Guidelines

  • Never write a job story for a feature — write it for the situation that makes the feature valuable
  • If you can't identify the situation, you don't understand the job yet — go back to user research
  • Social and emotional jobs are harder to surface but often the most defensible differentiators
  • Recommend sharing job stories with engineering — they make better technical decisions when they understand the "why"

平台分布

Codex

32.46%
按下载量换算23

Claude

27.64%
按下载量换算20

Cursor

20.01%
按下载量换算14

Gemini CLI

10.05%
按下载量换算7

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。目前只有一个公开来源,建议同时核对源仓库。

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