What problem does it solve? Hackathon teams in self-proposed tracks (like SIH Open Innovation) often brainstorm generic problem statements that look identical to every other team's. This Skill replaces brainstorming with evidence mining: it finds problems that institutions have already admitted in official documents, with numbers, links, and named failed attempts. ## Core Features & Use Cases - Five parallel mining pipelines: admission mining (CAG audits, parliamentary questions), grievance mining (CPGRAMS, state portals), procurement mining (tenders, GeM), graveyard mining (failed pilots and startups), and friction mining (recurrence, court orders). - Multi-gate validation: triangulation across 3+ independent streams and 2+ years, an anti-generic chair test, whitespace checks, and a software-native wedge screen ensuring the problem is solvable by code in a 36-hour build. - PQ scoring and dossiers: ranks 8-12 candidates on severity, recurrence, whitespace, solvability, demoability, and deployability, then produces top-3 full dossiers plus an SIH-format problem statement. - Use Case: A team entering SIH's Smart Education theme runs the prospector to translate the theme into concrete sectors, mines CAG reports and state grievance portals, and emerges with three ranked, evidence-backed problem statements instead of a generic "lack of awareness" pitch. ## Quick Start Run the problem prospector in industry mode for agritech and return the top three evidence-backed problem statements with full dossiers.
