What problem does it solve?
Measuring AI visibility requires deciding which prompts to run before writing any prompt wording. This Skill turns a measurement charter, ICP hypotheses, and buyer jobs into a structured coverage blueprint that defines required, optional, and prohibited intent cells, preventing unsupported or contaminated prompt coverage.
Core Features & Use Cases
- Proximity band assignment: Classifies intent cells into six structural bands (B0 brand through B5 market) with correct aided-status rules and contamination handling.
- Budget-aware allocation: Stratifies coverage across jobs, journey states, information acts, roles, locales, evidence grades, partitions, and measurement lanes, returning allocation conflicts instead of silently dropping coverage.
- Prohibited-cell enforcement: Blocks cells that fabricate categories, misuse aided stimuli, or derive core prompts from AI answers or target pages.
- Use Case: Given an approved measurement charter and buyer job evidence, produce a
prompt_architecture.json with 30–48 unaided diagnostic cells plus a Markdown coverage summary, ready for handoff to prompt generation.
Quick Start
Use the prompt-proximity-architecture skill to design a prompt coverage blueprint from my measurement charter, ICP hypotheses, and buyer jobs within a 60-cell budget.
