User Stories logo

User Stories

CommunityPopular
phuryn
user-stories

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining acceptance criteria.

Overview

Publisherphuryn
Repositorypm-skills
Skill nameuser-stories
Stars
26.4K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 User Stories AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/user-stories .claude/skills/user-stories
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable User 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 User 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 User 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.

User Stories

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria. Generates stories with descriptions, design links, and acceptance criteria.

Use when: Writing user stories, breaking down features into stories, creating backlog items, or defining acceptance criteria.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature to break into stories
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $ASSUMPTIONS: Key assumptions or context

Step-by-Step Process

  1. Analyze the feature based on provided design and context
  2. Identify user roles and distinct user journeys
  3. Apply 3 C's framework:
    • Card: Simple title and one-liner
    • Conversation: Detailed discussion of intent
    • Confirmation: Clear acceptance criteria
  4. Respect INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, Testable
  5. Use plain language a primary school graduate can understand
  6. Link to design files for visual reference
  7. Output user stories in structured format

Story Template

Title: [Feature name]

Description: As a [user role], I want to [action], so that [benefit].

Design: [Link to design files]

Acceptance Criteria:

  1. [Clear, testable criterion]
  2. [Observable behavior]
  3. [System validates correctly]
  4. [Edge case handling]
  5. [Performance or accessibility consideration]
  6. [Integration point]

Example User Story

Title: Recently Viewed Section

Description: As an Online Shopper, I want to see a 'Recently viewed' section on the product page to easily revisit items I considered.

Design: [Figma link]

Acceptance Criteria:

  1. The 'Recently viewed' section is displayed at the bottom of the product page for every user who has previously viewed at least 1 product.
  2. It is not displayed for users visiting the first product page of their session.
  3. The current product itself is excluded from the displayed items.
  4. The section showcases product cards or thumbnails with images, titles, and prices.
  5. Each product card indicates when it was viewed (e.g., 'Viewed 5 minutes ago').
  6. Clicking on a product card leads the user to the corresponding product page.

Output Deliverables

  • Complete set of user stories for the feature
  • Each story includes title, description, design link, and 4-6 acceptance criteria
  • Stories are independent and can be developed in any order
  • Stories are sized for one sprint cycle
  • Stories reference related design documentation

Further Reading

Frequently asked questions

What does the User Stories AI skill do?

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining acceptance criteria.

Why use User Stories on TypingMind?

Because you install it once and use it with any model. User 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 User Stories in TypingMind?

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

Which AI models can use User 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 User Stories?

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

Is the User 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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