write-requirements
Write user stories, acceptance criteria, and technical requirements for a feature or change. Use when defining what needs to be built.
Best use case
write-requirements is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Write user stories, acceptance criteria, and technical requirements for a feature or change. Use when defining what needs to be built.
Teams using write-requirements should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/write-requirements/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How write-requirements Compares
| Feature / Agent | write-requirements | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Write user stories, acceptance criteria, and technical requirements for a feature or change. Use when defining what needs to be built.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Write Requirements
Write detailed requirements for the following feature:
$ARGUMENTS
## Requirements Format
For each requirement, produce:
### User Story
```text
As a [user type],
I want to [action],
So that [benefit].
```
### Acceptance Criteria
- [ ] Given [context], when [action], then [result]
(Include happy path, error cases, and edge cases)
### Technical Requirements
- Data model changes needed
- API endpoints affected
- UI components affected
- Non-functional requirements (performance, security, accessibility)
### Out of Scope
- What is explicitly NOT included in this feature
## Context
This is for the llmops-demo-ts project — a chat-based AI agent application. Consider all layers: frontend (Vue.js), backend (Express), agents (LangGraph), and common (shared types).Related Skills
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