What problem does it solve? Watchlists and signpost lists often "confirm" every scenario at once, making them useless for telling which future is unfolding. This Skill applies Heuer & Pherson's Indicators Validator to rate every indicator against every scenario, drop non-diagnostic ones, and turn the survivors into an actionable monitoring plan. ## Core Features & Use Cases - Validator Matrix: Rates each indicator against each scenario on the HL/L/C/U/HU scale, computes diagnosticity spread, and assigns keep/weak/drop verdicts. - Coverage Check: Ensures every scenario has at least three unique kept indicators and flags gaps that require generating more indicators. - Monitoring Plan Output: Produces a plan with source, threshold, cadence, owner, an absence rule, and a re-validation date for each kept indicator. - Use Case: A strategy team with three 2030 battery-market scenarios validates twelve candidate signposts; the Skill drops two that would appear under all scenarios, keeps nine, and emits a monitoring plan with quarterly cadence and named owners. ## Quick Start Ask the AI to validate your indicator list against your existing scenarios and return the diagnostic set with a monitoring plan, optionally running scripts/indicators.py on a JSON case file.
