sdd-expert

Convert PRDs into prioritized technical specifications with P0/P1/P2 architecture and agent-workflow specs.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/jonnathan-ls/ai-context-kit --skill sdd-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sdd-expert
Source: https://github.com/jonnathan-ls/ai-context-kit/tree/main/skills/sdd-expert
Command: npx skills add https://github.com/jonnathan-ls/ai-context-kit --skill sdd-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bridge the gap between business intent in PRDs and unambiguous technical specifications to guide engineering teams with a clear contract.

Core Features & Use Cases

  • Specification mapping: Convert PRDs into structured technical specs (architecture, API, or AI/agent workflow).
  • Specification prioritization: Generate a Specification Map with P0/P1/P2 priorities, focusing first on high-risk areas.
  • AI/Agent Workflow readiness: Produce prompts, memory models, tools, and recovery strategies for AI agents.

Quick Start

Provide your PRD or core idea so I can generate an initial Specification Map and identify the highest-risk spec to start detailing.

Frequently Asked Questions about sdd-expert

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

FAQPage Schema
How do I convert a PRD into technical specifications for engineering teams?

To convert a PRD into technical specifications, extract core engineering implications and map them into structured specs. Apply risk-based prioritization to deliver P0 architecture and agent-workflow specs first, followed by P1 and P2 items.

What is the best way to prioritize specifications from a product requirements document?

The best way to prioritize specifications from a PRD is generating a Specification Map using a risk-based approach. This targets high-risk areas first, categorizing technical requirements into P0, P1, and P2 priorities to guide engineering teams.

How do I define AI agent workflows and interfaces from a PRD?

To define AI agent workflows from a PRD, translate business intent into machine-readable templates. This process specifies data models, memory structures, prompts, tool interfaces, and success or failure criteria to ensure agent readiness.

Can I generate architecture and data models directly from business requirements?

Yes, generating architecture and data models directly from business requirements is possible. By identifying core engineering implications within the PRD, you produce concrete technical specifications and data models that serve as a clear contract for engineering teams.

What is included in a Specification Map for AI-agent workflows?

A Specification Map for AI-agent workflows includes risk-based P0, P1, and P2 prioritizations. It defines data models, prompts, tool interfaces, memory models, and recovery strategies within machine-readable and AI-friendly templates.

When do I need to translate a PRD into machine-readable templates?

Translating a PRD into machine-readable templates is needed when bridging the gap between business intent and unambiguous technical specifications. This defines data models and tool interfaces to guide engineering teams with a clear contract.