Signal-to-Spec Translator

What it does

The Signal-to-Spec Translator is a high-discipline framework designed to bridge the gap between messy, real-world inputs and execution-grade technical specifications. It takes vague requests, fragmented feedback, and "signal clouds"—like 'users are confused' or 'we need an AI feature'—and systematically decomposes them into structured, buildable artifacts.

Why use this skill

Most development waste happens before a single line of code is written, caused by building from unprocessed signals. This skill moves beyond simple paraphrasing; it identifies raw signal types, surfaces hidden assumptions, separates observation from interpretation, and maps specification gaps. It prevents "premature solutioning" by highlighting what is not yet ready for implementation.

What the output looks like

Rather than a simple summary, you receive a professional intermediary artifact. This includes a Signal Field analysis, a Decomposition of signal units with confidence levels, an Assumption Load audit, and finally, a Translated Spec featuring objectives, constraints, and success criteria. It concludes with a Build-Readiness Check and a warning on what not to build yet.

Supported Workflows

• Product Requirement Documents (PRDs)
• AI Behavior & Agent Specifications
• Automation & Internal Tool Briefs
• Experiment Design & Evaluation Rubrics