spec-to-impl

Orchestrate multi-agent teams to convert specification documents into code, tests, and documentation.

13|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/OmexIT/claude-skills-pack --skill spec-to-impl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spec-to-impl
Source: https://github.com/OmexIT/claude-skills-pack/tree/main/skills/spec-to-impl
Command: npx skills add https://github.com/OmexIT/claude-skills-pack --skill spec-to-impl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) and assets (resource) components.

What problem does it solve?

Orchestrates the end-to-end breakdown of a specification document (PRD/BRD/API spec/analyses) into multiple output artifacts by coordinating a multi-agent team across architecture, design, backend, frontend, QA, DBA, DevOps, security, observability, and technical writing. It turns a single input spec into a structured plan and deliverables, accelerating compliant implementation.

Core Features & Use Cases

  • End-to-end orchestration: from spec ingestion to task planning, execution, and delivery of artifacts (docs, code, tests, migrations, docs).
  • Multi-agent choreography: coordinates ARCH, DESIGN, BE, FE, QA, DBA, DEVOPS, SEC, OBS, and TECH_WRITER across waves with dependencies and status tracking.
  • Trigger-driven activation: responds to phrases like "implement this spec", "build this from the PRD", or file paths ending in spec/prd/analysis/brd to begin the workflow.
  • Standards-driven delivery: enforces API contracts, design patterns, observability, and test plans as output artifacts.
  • Design-context integration (optional): if a Figma/-design context is provided, integrates into FE workflows and provides a design-compliance report.

Quick Start

Provide a specification document and say "implement this spec" to start end-to-end delivery.

Frequently Asked Questions about spec-to-impl

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

FAQPage Schema
How do I turn a PRD or API spec into code, tests, and documentation?

Spec-to-impl orchestrates multi-agent implementation of specification documents into code, tests, and documentation. It ingests PRDs, API specs, or user stories and coordinates agents across architecture, backend, frontend, QA, DBA, and DevOps to produce a complete artifact set.

How do I coordinate multi-agent task management for architecture and implementation?

You coordinate multi-agent task management by triggering the orchestration workflow with phrases like "implement this spec." The system choreographs agents across architecture, backend, frontend, QA, DBA, DevOps, security, and technical writing in dependency-tracked waves.

Can I use a PRD to generate artifacts across backend, frontend, and database layers?

Yes, you can use a PRD to generate artifacts across backend, frontend, and database layers. The orchestration accepts a single specification document and outputs multiple artifacts by coordinating BE, FE, QA, DBA, and DevOps agents to deliver code, tests, and migrations.

What's the best way to enforce API contracts and observability standards during spec implementation?

The best way to enforce API contracts and observability standards during spec implementation is through standards-driven orchestration. The workflow enforces API contracts, design patterns, observability, and testing standards as built-in output artifacts during multi-agent execution.

Does this spec implementation workflow integrate with Figma design context for frontend generation?

Yes, this spec implementation workflow integrates with Figma design context for frontend generation. When a design context is provided, the system integrates it into frontend workflows and generates a design-compliance report alongside the standard code, tests, and documentation artifacts.

What are the limitations of using a single specification document for multi-agent orchestration?

A limitation of using a single specification document for multi-agent orchestration is that output quality depends entirely on input spec completeness. If the PRD or API spec lacks detailed requirements, the generated architecture, code, and test artifacts may require manual refinement.