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draft-spec

Generate requirements documents from natural language prompts using project templates.

6|2|Updated Apr 5, 2026
Search Tags:#workflow#documentation#specification#requirements#draft#ai-assisted
One-click install
npx skills add https://github.com/i-standard1/yamasaki --skill draft-spec-i-standard1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: draft-spec
Source: https://github.com/i-standard1/yamasaki/tree/main/.claude/skills/draft-spec
Command: npx skills add https://github.com/i-standard1/yamasaki --skill draft-spec-i-standard1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drafting precise, structured requirements documents from natural language prompts to accelerate feature discovery and reduce ambiguity in handoffs between product, design, and engineering.

Core Features & Use Cases

  • Template-driven: Generates requirements docs aligned to the project’s templates (phase1 requirements-spec).
  • Collaborative drafting: Supports questions, clarifications, and reviews with AI-assisted prompts.
  • Use Case: Given a new feature idea, produce a complete requirements document ready for PM/engineer review and handoff.

Quick Start

Provide a feature idea and I will generate the draft requirements document.

Frequently Asked Questions about draft-spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to draft feature specs for early-stage product concepts?▼

Drafting feature specs for early-stage concepts involves using an AI-assisted workflow that transforms natural language prompts into precise requirements documents, reducing ambiguity across product, design, and engineering handoffs.

Does the AI-assisted spec drafting tool support collaborative clarifications and reviews?▼

Yes, the AI-assisted spec drafting tool supports collaborative drafting by enabling questions, clarifications, and reviews through interactive prompts to refine the natural language inputs into a finalized requirements document.

How do I reduce ambiguity in product and engineering handoffs when drafting specifications?▼

You reduce ambiguity in handoffs by generating template-driven specifications from natural language prompts, which enforces structured requirements documentation and accelerates clear feature discovery across product and engineering teams.

What are the limitations of using AI to draft requirements documents for new features?▼

The primary limitation is that AI-drafted requirements documents apply to early-stage concepts and new features, meaning the generated specification still requires explicit PM and engineer review before final handoff to ensure complete accuracy.

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