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User Stories

Community
daveebbelaar
user-stories

Prioritized backlog of user stories with checkable acceptance criteria (docs/STORIES.md) for a macOS app, built from a brief, research, or screen index. Use after app-brief or clone, or when the user asks for user stories, a backlog, a feature list, or "what do we build first".

Overview

Publisherdaveebbelaar
Repositorybama
Skill nameuser-stories
Stars
952
Forks
136
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daveebbelaar 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/daveebbelaar/bama/tree/main/skills/plan/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/daveebbelaar/bama.git /tmp/bama
mkdir -p .claude/skills
cp -r /tmp/bama/skills/plan/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

Screens show what an app looks like. Stories say what a person does with it. You build and test stories, not screens.

Read docs/BRIEF.md, docs/research/*.md, and docs/screens/INDEX.md where they exist. Write docs/STORIES.md.

Story format

markdown
### S-012 Complete a task with the keyboard
As the user, I select a task and press Command-Return to complete it.
Screens: 01-inbox.png, 02-today.png
Depends: S-004
Acceptance:
- [snap] The circle fills and the row fades out within half a second.
- [self] An "Undo" banner shows for five seconds; Command-Z also undoes it.
- [unit] A recurring task moves to its next date.
Status: todo
  • One action per story. "Rename a project from its context menu", not "Manage projects".
  • Every acceptance line starts with how it is checked: [snap] snapshot, [unit] unit test, [self] self-test, [manual] a person must try it. "Works well" is not checkable.
  • Screens: links reference screenshots, so improve-loop knows what to compare. Without a reference app, name the snapshot pages that will show the story. A panel, sheet, or menu needs its own snapshot page.
  • Depends: (optional) lists stories that must be done first.
  • Keep a control and the only surface that shows it in one story: a highlighting field that lives only in the quick-add panel ships with the panel.
  • Status: todo, doing, done, or dropped.

Milestones

Each milestone ends with an app the user can use for a day.

  1. M1 Core loop: the one thing the app is for, end to end. Data survives a restart.
  2. M2 Organize: the main structure, sidebar pages, moving items.
  3. M3 Time: dates, Today and Upcoming, recurrence, reminders.
  4. M4 Speed: quick-add panel, global shortcut, natural language input, keyboard navigation, search, menu commands.
  5. M5 System: menu bar, Share menu, Shortcuts, notifications, CLI.
  6. M6 Polish: drag and drop, context menus, empty states, icon, settings.

Rename milestones to fit the app. Inside a milestone, stories that others depend on come first.

Seed data

Every attribute the seed data sets (symbols, colors, notes) is something a story lets the user create in the app. Otherwise snapshots show features no one can use.

Leave things out

Drop what exists only for other people or for the vendor: accounts, sharing, teams, integrations, upgrade prompts, gamification. List them under ## Dropped, one line each, so the decision is visible.

UX notes

For each M1 story that adds a screen, an action, or words, call the Skill tool with ux-design. It adds a UX: block under the acceptance lines and starts docs/GLOSSARY.md, so every story uses the same names. Later milestones get their UX notes in improve-loop, just before they are built.

Size check

M1 has 5 to 10 stories. Over 60 stories in total means version one is too big: move stories to ## Later.

Done when every main job in the brief, every "Version one: yes" row in the research matrix, and every screen in the index maps to a story or a Dropped line, and every M1 story with UI has a UX: block.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the User Stories AI skill do?

Prioritized backlog of user stories with checkable acceptance criteria (docs/STORIES.md) for a macOS app, built from a brief, research, or screen index. Use after app-brief or clone, or when the user asks for user stories, a backlog, a feature list, or "what do we build first".

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/daveebbelaar/bama/tree/main/skills/plan/user-stories. TypingMind reads its SKILL.md and bundles its files 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 daveebbelaar 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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