user-story

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Generate structured User Stories with Acceptance Criteria, story points, and Definition of Done for Label Suite.

singyichen By singyichen schedule Updated 3/26/2026

name: user-story description: Generate structured User Stories with Acceptance Criteria, story points, and Definition of Done for Label Suite.

User Story

Generate well-structured User Stories following the SDD spec format, targeting NLP researchers, annotators, and administrators.

Usage

/user-story "Annotator submits predictions for a text classification task"
/user-story "NLP researcher configures a new annotation task via YAML config"
/user-story "Administrator views leaderboard with ranking and scores"

Output Format

# User Story — [US-ID]

**Title**: [Concise title]
**Priority**: P1 / P2 / P3
**Story Points**: N (Fibonacci: 1, 2, 3, 5, 8, 13)

---

## Story

**As a** [NLP Researcher | Annotator | Administrator],
**I want to** [action],
**So that** [benefit / value].

---

## Acceptance Criteria

### AC-01: [Happy Path]

Given [precondition] When [action] Then [expected outcome] And [additional outcome]


### AC-02: [Error / Edge Case]

Given [precondition] When [invalid action or edge case] Then [expected error handling]


### AC-03: [Security / Access Control]

Given I am authenticated as an Annotator When I attempt to [admin-only action] Then I receive a 403 Forbidden response And no sensitive data is exposed


---

## Definition of Done

- [ ] All ACs implemented and verified (pytest / Playwright)
- [ ] Test coverage ≥ target threshold for affected modules
- [ ] Code reviewed and approved (`/code-review` + `/pr-review`)
- [ ] No Chinese strings introduced outside README
- [ ] Security checklist passed (test-set leakage check if applicable)
- [ ] Spec checklist completed (`/speckit.checklist`)
- [ ] PR merged to `main`

---

## Story Point Estimation

| Factor | Score (1-5) | Notes |
|--------|------------|-------|
| Complexity | N | |
| Uncertainty | N | |
| Effort | N | |
| **Fibonacci Total** | **N** | |

---

## MoSCoW Classification

**Must Have** / Should Have / Could Have / Won't Have

**Rationale**: [Why this priority for the Demo Paper milestone]

---

## Dependencies

| Type | Dependency | Notes |
|------|------------|-------|
| Upstream | US-XX: [title] | Must be implemented first |
| External | Config YAML schema | Task config format must be defined |

---

## Technical Notes

- [Backend consideration: e.g., requires Celery for async scoring]
- [Frontend consideration: e.g., config-driven form rendering]
- [Security note: e.g., answer field must be excluded from response]

---

## Success Metrics

| Metric | Target |
|--------|--------|
| Annotator can complete submission without training | ✅ (usability test) |
| Scoring completes within 30 seconds | 95th percentile |
| API response time | ≤ 500ms |

User Roles Reference

Role Description Primary Interactions
NLP Researcher Configures tasks, reviews results Task Config, Leaderboard, Dataset Management
Annotator Executes annotation tasks Annotation Workspace, Submission
Administrator Manages users, tasks, datasets Admin Panel, User Management

Priority Guidelines

Priority Criteria
P1 Core annotation and evaluation flow — Demo Paper must-have
P2 Leaderboard and result visualization — important but not blocking
P3 Nice-to-have features — implement after P1 and P2
Install via CLI
npx skills add https://github.com/singyichen/label-suite --skill user-story
Repository Details
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