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User Stories

Community
Mehdibargach
user-stories

Turn a feature description into well-structured user stories with acceptance criteria, edge cases, and dependencies.

Overview

PublisherMehdibargach
Repositoryclaude-code-pm-skills
Skill nameuser-stories
Stars
97
Forks
38
Bundled files
Instructions only
Links
  • 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 Mehdibargach 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.
    https://github.com/Mehdibargach/claude-code-pm-skills/tree/main/skills/user-stories
  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/Mehdibargach/claude-code-pm-skills.git /tmp/claude-code-pm-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-pm-skills/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 Story Generator

Turn a feature description into a complete set of user stories ready for sprint planning. Each story is independently deliverable with testable acceptance criteria.

Process

  1. Read and analyze the feature description.
  2. Identify the epic and break it into independently deliverable user stories.
  3. For each story, write acceptance criteria using Given/When/Then format.
  4. Identify edge cases and unhappy paths for each story.
  5. Map dependencies between stories and to external systems.
  6. Define what is explicitly out of scope.
  7. Save the output to a file in the current working directory as stories-[feature-name].md.

Output Format

Epic Summary

  • Epic name
  • Goal (one sentence — what does this epic achieve for the user?)
  • Context (why now, what triggered this work)

User Stories

For each story:

Story [number]: [short title]

Story: As a [specific user type], I want [concrete action], so that [measurable or observable benefit].

Priority: Must-have / Should-have / Nice-to-have

Acceptance Criteria:

  • Given [precondition], When [action], Then [expected result]
  • Given [precondition], When [action], Then [expected result]

Edge Cases:

  • What happens when [unusual condition]?
  • What happens when [error condition]?
  • What happens when [boundary condition]?

Notes: Any implementation hints or context the team needs.

Dependencies

  • Between stories (which stories must be done before others)
  • External dependencies (APIs, services, teams, approvals)
  • Technical prerequisites

Out of Scope

  • Features or behaviors explicitly excluded from this epic
  • Adjacent work that might come up but belongs to a different epic

Rules

  • Each story must be independently deliverable. If a story can't ship without another, either merge them or make the dependency explicit.
  • Acceptance criteria must be testable — a QA engineer should be able to verify each one without asking questions.
  • Always include unhappy paths: what happens on failure, timeout, invalid input, missing permissions.
  • User stories are written from the user's perspective, not the system's. "The system validates the input" is not a user story.
  • Be specific about the user type. "As a user" is too vague — "As a workspace admin with billing access" is specific.
  • The benefit in "so that" must be real. "So that I can use the feature" is circular. "So that I can onboard new team members without filing a support ticket" is real.
  • If the feature description is too vague, list clarifying questions before writing stories.
  • Include story sizing hints (S/M/L) only if enough context is available to estimate.

Frequently asked questions

What does the User Stories AI skill do?

Turn a feature description into well-structured user stories with acceptance criteria, edge cases, and dependencies.

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/Mehdibargach/claude-code-pm-skills/tree/main/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?

It is published on GitHub by Mehdibargach. Check the repository for licensing terms. 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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