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spec_driven_development.plan

Convert clarified specifications into technical plans with architecture, data models, and API contracts.

1|Updated Jun 30, 2025
Search Tags:#planning#architecture#documentation#specification#data modeling#API design
One-click install
npx skills add https://github.com/EONMUN/EONMUN --skill spec-driven-development-plan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spec_driven_development.plan
Source: https://github.com/EONMUN/EONMUN/tree/main/.claude/skills/spec_driven_development.plan
Command: npx skills add https://github.com/EONMUN/EONMUN --skill spec-driven-development-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts clarified specifications into a detailed, actionable technical plan that guides architecture decisions and implementation strategy.

Core Features & Use Cases

  • Structured planning: defines high-level architecture, data models, and API contracts from a clarified spec.
  • Documentation artifacts: generates planning outputs such as plan.md, data-model.md, api-spec.json, and research.md.
  • Governance alignment: ensures compliance with project constitution and prerequisites before proceeding.

Quick Start

Use the skill to translate a clarified spec into a comprehensive technical plan and associated documents.

Frequently Asked Questions about spec_driven_development.plan

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

FAQPage Schema
How do I turn feature specifications into a technical plan for architecture and API design?▼

To turn feature specifications into a technical plan, you translate clarified requirements into structured architecture decisions, data models, and API contracts. This process generates actionable documentation artifacts like plan.md and api-spec.json to guide implementation strategy.

What documentation artifacts are generated during technical planning from a spec?▼

Technical planning from a spec generates documentation artifacts including plan.md for strategy, data-model.md for schema definitions, api-spec.json for API contracts, and research.md for architecture decisions and technology selection rationale.

Do I need a clarified specification before starting data modeling and API design?▼

Yes, a clarified specification is required before starting data modeling and API design. The planning process applies finalized requirements to accurately define technical architecture, structure data schemas, and establish reliable API contracts.

How does specification-driven planning handle architecture decisions and technology selection?▼

Specification-driven planning handles architecture decisions by evaluating requirements against project governance and prerequisites. It systematically aligns technology selection with the clarified spec to produce a compliant and structured technical implementation strategy.

When should I not use a spec-driven approach for technical planning?▼

You should not use a spec-driven approach for technical planning when your feature requirements remain unclarified. Without finalized specifications, the process cannot accurately define data models, establish API contracts, or ensure governance compliance.

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