author-intent-yaml

What problem does it solve?

It converts interview-derived intent details into a schema-conforming intent.yaml artifact so teams can proceed with consistent, tool-agnostic execution.

Core Features & Use Cases

• ICE clean triple authoring: Writes the intent section (intent statement, constraints, and failure conditions) without adding scenarios or recovery.
• Schema-safe formatting: Enforces required fields, assigns stable IDs (C1..Cn, F1..Fn), and outputs the YAML in the exact required top-level order.
• Implementation-detail guardrails: Rejects intent text that accidentally references plays, agents, skills, tools, or internal framework paths so the intent stays execution-neutral.

Quick Start

Ask the agent to author the intent.yaml from your extracted interview digest (name, description, intent_statement, constraints, failure_conditions, and output_base), and then pass the resulting intent_yaml_path forward to the next drafting step.