Job Stories

CommunityPopular

phuryn

job-stories

Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format with detailed acceptance criteria. Use when writing job stories, creating JTBD-style backlog items, or expressing user situations and motivations.

Overview

Publisher	phuryn
Repository	`pm-skills`
Skill name	`job-stories`
Stars	26.4K
Forks	2.8K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by phuryn on GitHub. Read the source before you install it.

Installation

Install the Job Stories AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-execution/skills/job-stories .claude/skills/job-stories

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Job Stories in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Job Stories on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Job Stories is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Identify user situations that trigger the need
Define motivations underlying the user's behavior
Clarify outcomes the user wants to achieve
Apply JTBD framework: Focus on the job, not the role
Create acceptance criteria that validate the outcome is achieved
Use observable, measurable language
Link to design mockups or prototypes
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:

[Situation is properly recognized]
[System enables the desired motivation]
[Progress or feedback is visible]
[Outcome is achieved efficiently]
[Edge cases are handled gracefully]
[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:

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

Output Deliverables

Complete set of job stories for the feature
Each story follows the 'When...I want...so I can' format
6-8 acceptance criteria focused on outcomes
Stories emphasize user situations and motivations
Clear links to design and prototypes

Frequently asked questions

What does the Job Stories AI skill do?

Why use Job Stories on TypingMind?

Because you install it once and use it with any model. Job Stories is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Job Stories in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-execution/skills/job-stories. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Job Stories?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Job Stories?

As many as you like. As long as a model supports skills, you can use Job Stories with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Job Stories AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Job Stories

Overview