seed

Transform interview results into validated Seed YAML with metadata and ontology schema.

5.4k|535|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/Q00/ouroboros --skill seed-q00
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seed
Source: https://github.com/Q00/ouroboros/tree/main/skills/seed
Command: npx skills add https://github.com/Q00/ouroboros --skill seed-q00

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform interview results into a precise, actionable Seed YAML that can drive automated workflows and downstream tooling.

Core Features & Use Cases

  • Extract structured requirements from interviews and translate them into a GOAL, CONSTRAINTS, and ONTOLOGY_SCHEMA within a Seed.
  • Attach metadata (timestamp, session ID, ambiguity score) and support session-aware generation for repeatable outcomes.
  • Use cases include crystallizing product requirements, aligning engineering plans, and exporting Seeds for PRD pipelines.

Quick Start

Provide the interview results to the agent and ask it to crystallize them into a Seed YAML.

Frequently Asked Questions about seed

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

FAQPage Schema
How do I convert interview results into structured YAML requirements?

To convert interview results into structured YAML requirements, provide the transcripts to the agent. It extracts the requirements and translates them into a deterministic Seed YAML specification containing GOAL, CONSTRAINTS, and ONTOLOGY_SCHEMA fields.

What is a Seed YAML specification used for in product workflow automation?

A Seed YAML specification is used to crystallize product requirements into a precise, actionable format. It drives automated workflows and downstream tooling by providing a validated, deterministic output structure for reproducibility.

How do I score ambiguity in product requirements extracted from interviews?

To score ambiguity in product requirements, the agent evaluates the extracted interview data and attaches an ambiguity score to the Seed metadata. This helps identify unclear constraints before they reach downstream engineering plans.

Can I generate session-aware Seed YAML files for repeatable outcomes?

Yes, you can generate session-aware Seed YAML files. The agent supports session-aware generation by attaching metadata like timestamps and session IDs, ensuring reproducible outcomes across different workflow runs.

Does the Seed generation process support extracting an ontology schema from interviews?

Yes, the Seed generation process supports extracting an ontology schema. It translates interview results into an ONTOLOGY_SCHEMA within the Seed YAML, aligning engineering plans with the crystallized product requirements.

What is the best way to crystallize product requirements for a PRD pipeline?

The best way to crystallize product requirements for a PRD pipeline is to process interview results through the agent. It produces a validated Seed YAML with structured metadata and constraints, ready for export to downstream pipelines.