What problem does it solve?
AI-driven research often produces unverifiable claims, invented citations, and bloated reports that cannot be trusted or compared over time. This Skill provides a canonical contract for autonomous investigations so research can run unattended, stay honest, and produce outputs that diff cleanly against previous runs.
Core Features & Use Cases
- Seven-Clause Contract: Enforces a question budget, search-plan gate, Fact/Inference/Assumption evidence labels, do-not-invent lists, Just Enough output mode, stable schemas, and a 4-option Final Step block.
- Confidence Stacking: Grades multi-channel findings from watch item (1 channel) to actionable intelligence (3+ channels), with a dig rule when channels conflict.
- Schedulable Investigations: Designed so research skills can run as agent tasks or on schedules, degrading gracefully with labeled assumptions when no human answers.
- Use Case: Set up a quarterly competitive scan that re-runs without supervision, where every claim is labeled, gaps are listed honestly, and the team reads the delta between runs instead of full reports.
Quick Start
Run an autonomous investigation on a competitor's move into a new market, stating the decision the research should support.