Spec Writer

Transform vague ideas into precise, implementable specifications that Claude Code can execute without ambiguity.

Purpose

Most AI coding failures happen because specifications are unclear. This skill extracts implicit requirements from conversations and outputs structured specs that eliminate guesswork.

Process

Phase 1: Context Extraction

Entry Check

IF user provided: problem statement + target users + success criteria
    → Proceed to Phase 2
ELSE
    → Gather missing information below (one question at a time)

Information Needed

Item	Question	Why Required
Problem	"What problem are you solving?"	Defines scope boundaries
Users	"Who will use this?"	Shapes UX requirements
Success	"How will you know it works?"	Creates acceptance criteria
Constraints	"Any technical/business constraints?"	Prevents wasted effort

Transition Criteria

All four items gathered + user confirmed → Phase 2

Phase 2: Requirement Analysis

Entry Check

IF Phase 1 complete:
    → Analyze and categorize requirements
ELSE
    → Return to Phase 1

Categorization Framework

FOR each requirement mentioned:
    Classify as:
    - MUST: Core functionality, non-negotiable
    - SHOULD: Important but has workarounds
    - COULD: Nice to have, time permitting
    - WON'T: Explicitly out of scope (important to document)

Output: Requirements Table

ID	Requirement	Priority	Rationale
R1	[requirement]	MUST/SHOULD/COULD	[why this priority]

Edge Case Discovery

FOR each MUST requirement:
    Ask: "What happens when [edge case]?"

    Common edge cases to probe:
    - Empty/null inputs
    - Maximum scale (1000x normal)
    - Concurrent access
    - Network failure
    - Permission denied
    - Invalid data format

Phase 3: User Story Generation

Entry Check

IF requirements table complete + edge cases documented:
    → Generate user stories
ELSE
    → Return to Phase 2

Story Format

AS A [user type]
I WANT TO [action]
SO THAT [benefit]

ACCEPTANCE CRITERIA:
- GIVEN [context]
  WHEN [action]
  THEN [expected result]

EDGE CASES:
- [edge case]: [expected behavior]

TECHNICAL NOTES:
- [implementation hints, if relevant]

Story Generation Rules

FOR each MUST requirement:
    → Generate 1 user story
    → Include 2-4 acceptance criteria
    → Include 1-3 edge cases

FOR each SHOULD requirement:
    → Generate 1 user story (simpler format)
    → Include 1-2 acceptance criteria

Phase 4: Technical Specification

Entry Check

IF user stories generated:
    → Ask: "Ready for technical spec, or need to adjust stories first?"

IF user confirms:
    → Generate technical specification
ELSE
    → Revise stories based on feedback

Technical Spec Structure

markdown

## Technical Specification: [Feature Name]

### Overview

[1-2 sentences describing the feature]

### Data Models

[If new data structures needed]

### API Endpoints

[If applicable]
| Method | Path | Request | Response |
|--------|------|---------|----------|

### State Changes

[What changes when this feature runs]

### Dependencies

[External services, libraries, existing code]

### Security Considerations

[Auth, validation, rate limits]

### Testing Strategy

- Unit: [what to unit test]
- Integration: [what to integration test]
- E2E: [critical user flows]

Phase 5: Output Delivery

Output Format Selection

IF user's project has existing spec format:
    → Match that format
ELSE IF user specified format preference:
    → Use requested format
ELSE
    → Use default markdown format below

Default Output Structure

markdown

# [Feature Name] Specification

## Summary

[One paragraph overview]

## Requirements

[Requirements table from Phase 2]

## User Stories

[Stories from Phase 3]

## Technical Specification

[Spec from Phase 4]

## Out of Scope

[Explicitly excluded items - prevents scope creep]

## Open Questions

[Unresolved items needing decisions]

Self-Check (Read before every response)

□ Am I gathering context or assuming? → Missing info = ask, never fill in

□ Am I asking one question at a time? → Multiple questions overwhelm users

□ Are requirements testable? → Vague requirements = implementation arguments later

□ Did I include edge cases? → Happy path only = bugs in production

□ Is the spec implementable by Claude Code? → Read it as if you'll code it: any ambiguity?

□ Did I document what's OUT of scope? → Scope creep starts with undefined boundaries

□ Are acceptance criteria specific? → "Works correctly" is not acceptance criteria → "Returns 200 with user object containing id, email" is

Integration with Other Skills

AFTER spec complete:
    Suggest: "Spec ready. Next steps:"
    - "Use /prd to expand into full PRD"
    - "Use architect-planner to design structure"
    - "Start coding with this spec as context"

spec-writer

NPX Install

Tags

SKILL.md Content

Spec Writer

Purpose

Process

Phase 1: Context Extraction

Entry Check

Information Needed

Transition Criteria

Phase 2: Requirement Analysis

Entry Check

Categorization Framework

Output: Requirements Table

Edge Case Discovery

Phase 3: User Story Generation

Entry Check

Story Format

Story Generation Rules

Phase 4: Technical Specification

Entry Check

Technical Spec Structure

Phase 5: Output Delivery

Output Format Selection

Default Output Structure

Self-Check (Read before every response)

Integration with Other Skills