job-stories

job-stories is a skill for Claude Code from phuryn/pm-skills. It costs 55 tokens per session (669 once invoked), scanned A, original, MIT.

A format for describing what someone needs in a particular situation: “When [situation], I want to [motivation], so I can [outcome].” It also adds acceptance criteria, which are checks for whether the desired result was achieved.

In plain words
What is it for?
Use it to write job stories, describe user needs, turn research into backlog items, and define checks for a feature or workflow.
Why use it?
It keeps backlog items focused on the user’s situation and intended result rather than only on a feature or job title. Clear acceptance criteria make the work easier to assess.

Skill for Claude Code

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

Part of the pm-execution plugin — 16 skills, 11 commands shipped together

Good fit Use it to write job stories, describe user needs, turn research into backlog items, and define checks for a feature or workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/job-stories
About the project

phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.

phuryn/pm-skills · 26,224 stars · on GitHub · productcompass.pm

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 phuryn/pm-skills --skill job-stories
Clone the repo
git clone --depth 1 https://github.com/phuryn/pm-skills

Made for: Claude Code.

Or install pm-execution, the plugin that ships this one along with the rest of its 16 skills, 11 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/phuryn/pm-skills/job-stories/github.svg)](https://agentmods.dev/skills/phuryn/pm-skills/job-stories)
Your own site
<a href="https://agentmods.dev/skills/phuryn/pm-skills/job-stories"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/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/phuryn/pm-skills/job-stories"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/job-stories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 669 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 4 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.00669
Opus 5 $0.00028 $0.00334
Sonnet 5 $0.00011 $0.00134
Haiku 4.5 $0.00006 $0.00067

Measured 12d ago against content hash 69f75264b311, 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 12d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

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

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Stories

Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format. Generates stories with detailed acceptance criteria focused on user situations and outcomes.

Use when: Writing job stories, expressing user situations and motivations, creating JTBD-style backlog items, or focusing on user context rather than roles.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature to break into job stories
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $CONTEXT: User situations or job scenarios

Step-by-Step Process

  1. Identify user situations that trigger the need
  2. Define motivations underlying the user's behavior
  3. Clarify outcomes the user wants to achieve
  4. Apply JTBD framework: Focus on the job, not the role
  5. Create acceptance criteria that validate the outcome is achieved
  6. Use observable, measurable language
  7. Link to design mockups or prototypes
  8. Output job stories with detailed acceptance criteria

Story Template

Title: [Job outcome or result]

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

Design: [Link to design files]

Acceptance Criteria:

  1. [Situation is properly recognized]
  2. [System enables the desired motivation]
  3. [Progress or feedback is visible]
  4. [Outcome is achieved efficiently]
  5. [Edge cases are handled gracefully]
  6. [Integration and notifications work]

Example Job Story

Title: Track Weekly Snack Spending

Description: When I'm preparing my weekly allowance for snacks (situation), I want to quickly see how much I've spent so far (motivation), so I can make sure I don't run out of money before the weekend (outcome).

Design: [Figma link]

Acceptance Criteria:

  1. Display Spending Summary with 'Weekly Spending Overview' section
  2. Real-Time Update when expense logged
  3. Progress Indicator (progress bar showing 0-100% of weekly budget)
  4. Remaining Budget Highlight in prominent color
  5. Detailed Spending Log with breakdown by category
  6. Notifications at 80% budget threshold
  7. Weekend-Specific Reminder at 90% by Thursday evening
  8. Easy Access and Navigation to detailed breakdown

Read the full file on GitHub · 75 lines

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. 12d ago First seen · 75 lines · 55 tokens per session scan A 69f75264b311

Subscribe to this mod's changes

job-stories is a skill published in the GitHub repository phuryn/pm-skills (26,224 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 669 once invoked, about $0.0003 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.

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