What document formats does the Spec Formatter support?

The skill supports Markdown for human-readable documentation, JSON for programmatic tool integration, and YAML for configuration-friendly data storage.

Can it help with product roadmap prioritization?

Yes, it specifically categorizes features into MVP and V2 sections with individual acceptance criteria and priority levels.

Does it track document versioning and completeness?

Yes, every generated document includes metadata such as session IDs, generation timestamps, and a completeness percentage.

How does it handle technical data contracts?

It generates formatted tables for input fields, output fields, and API endpoints, including types, validation rules, and nullability requirements.

Spec Document Formatter

Name: Spec Document Formatter
Author: JesseHenson

byJesseHenson

학습 및 문서화

Generates deterministic, well-formatted software specification documents in Markdown, JSON, and YAML formats.

소개

The Spec Formatter skill automates the creation of comprehensive technical specifications by transforming raw requirement data into structured, professional documents. It ensures architectural consistency across projects by utilizing standardized templates for user flows, feature lists (distinguishing between MVP and V2), and detailed API/data contracts. By providing a unified structure for problem statements, edge cases, and assumptions, this skill helps teams move from brainstorming to implementation with high-fidelity documentation that is both human-readable and machine-parseable.

주요 기능

Multi-format output support including Markdown, JSON, and YAML
Priority-based feature categorization for MVP and V2 roadmapping
Structured data contract tables for inputs, outputs, and API endpoints
Deterministic file naming and metadata tracking for version control
0 GitHub stars
Automated user flow mapping with conditional logic visualization

사용 사례

Converting Claude-led brainstorming sessions into actionable technical specs
Generating standardized documentation for internal team reviews and stakeholder sign-off
Exporting structured requirement data to external project management or testing tools

소개

주요 기능

Multi-format output support including Markdown, JSON, and YAML
Priority-based feature categorization for MVP and V2 roadmapping
Structured data contract tables for inputs, outputs, and API endpoints
Deterministic file naming and metadata tracking for version control
0 GitHub stars
Automated user flow mapping with conditional logic visualization

사용 사례

Converting Claude-led brainstorming sessions into actionable technical specs
Generating standardized documentation for internal team reviews and stakeholder sign-off
Exporting structured requirement data to external project management or testing tools