job-stories

job-stories is a skill for Claude Code from killvxk/pm-skills-zh. It costs 71 tokens per session (824 once invoked), scanned A, original, MIT.

A format for describing work through a situation, a motivation, and a desired result: “When…, I want…, so I can…”. Job stories focus on what someone needs to accomplish rather than their job title.

In plain words
What is it for?
Use it to write job stories for product features, add observable acceptance criteria, and connect user situations to desired outcomes.
Why use it?
It keeps product requirements tied to the user’s context and reason for acting. This can make the intended outcome clearer than describing a feature alone.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-execution plugin — 15 skills, 10 commands shipped together

Good fit Use it to write job stories for product features, add observable acceptance criteria, and connect user situations to desired outcomes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/killvxk/pm-skills-zh/job-stories
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add killvxk/pm-skills-zh --skill job-stories
Clone the repo
git clone --depth 1 https://github.com/killvxk/pm-skills-zh

Made for: Claude Code.

Or install pm-execution, the plugin that ships this one along with the rest of its 15 skills, 10 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for job-stories

README.md
[![agentmods](https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/job-stories/github.svg)](https://agentmods.dev/skills/killvxk/pm-skills-zh/job-stories)
Your own site
<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/job-stories"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/job-stories/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for job-stories

Your own site · 80×15
<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/job-stories"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/job-stories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 824 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.00824
Opus 5 $0.00036 $0.00412
Sonnet 5 $0.00014 $0.00165
Haiku 4.5 $0.00007 $0.00082

Measured 11d ago against content hash 993ffe99f568, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

job-stories scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

pm-execution/skills/job-stories/SKILL.md · 75 lines

What it actually says

工作故事(Job Stories)

使用「当 [情境] 时,我想要 [动机],以便 [结果]」格式创建工作故事,聚焦于用户情境和成果,附带详细的验收标准。

适用场景: 编写工作故事、表达用户情境和动机、创建 JTBD(Jobs-to-be-Done,用户待办任务)风格的待办事项,或聚焦用户背景而非角色时。

参数:

  • $PRODUCT:产品或系统名称
  • $FEATURE:需要拆解为工作故事的新功能
  • $DESIGN:设计文件链接(Figma、Miro 等)
  • $CONTEXT:用户情境或工作场景

Step-by-Step Process(分步流程)

  1. 识别触发需求的用户情境
  2. 定义用户行为背后的动机
  3. 明确用户想要实现的结果
  4. 应用 JTBD 框架: 聚焦于工作本身,而非角色
  5. 创建验收标准, 验证成果是否已实现
  6. 使用可观察、可量化的语言
  7. 链接设计原型或 Mockup
  8. 输出带详细验收标准的工作故事

Story Template(故事模板)

标题: [工作成果或结果]

描述: 当 [情境] 时,我想要 [动机],以便 [结果]。

设计: [设计文件链接]

验收标准:

  1. [情境被正确识别]
  2. [系统支持预期的动机]
  3. [进度或反馈可见]
  4. [成果被高效实现]
  5. [边界情况被优雅处理]
  6. [集成和通知正常运行]

Example Job Story(工作故事示例)

标题: 追踪每周零食花费

描述: 当我在规划每周零食预算时(情境),我想要快速了解到目前为止花了多少钱(动机),以便确保在周末前不会花光零花钱(结果)。

设计: [Figma 链接]

验收标准:

  1. 显示"每周消费概览"板块,包含消费汇总
  2. 记录支出时实时更新
  3. 进度指示器(显示每周预算使用 0-100% 的进度条)
  4. 以醒目颜色突出显示剩余预算金额
  5. 详细消费记录,按类别分类展示
  6. 在预算使用达到 80% 时发送通知
  7. 在周四晚上预算使用达到 90% 时发送周末专属提醒
  8. 便于访问并可跳转至详细消费明细

Output Deliverables(输出交付物)

  • 该功能的完整工作故事集
  • 每个故事遵循「当……我想要……以便……」格式
  • 6-8 条聚焦于成果的验收标准
  • 故事强调用户情境和动机
  • 包含清晰的设计和原型链接

Further Reading(延伸阅读)

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 75 lines · 71 tokens per session scan A 993ffe99f568

Subscribe to this mod's changes

job-stories is a skill published in the GitHub repository killvxk/pm-skills-zh (159 stars, last pushed 5mo ago), licensed MIT. It adds 71 tokens to every session and 824 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens