What problem does it solve? Turning raw interview transcripts, call recordings, and Q&A notes into credible, publishable narratives is slow and error-prone: quotes get misattributed, remembered numbers get presented as measured facts, and drafts end up reading like marketing. This Skill provides a disciplined editorial workflow that extracts a defensible story from what a source actually said. ## Core Features & Use Cases - Two output archetypes: Produce either an expert-interview feature (hook, insights, credibility, playbook, tension, takeaways) or a company case study (context, trigger, approach, outcome, lessons, what didn't work). - Quote and evidence discipline: Maintains a quote ledger traceable to transcript locations, tiers claims into verifiable facts, source claims, and opinions, and flags memory-recalled numbers until confirmed. - Interview preparation: When invoked before a call, generates a question arc (baseline, trigger, approach, outcome, numbers audit, regrets, quotable close) so the writeup writes itself. - Use Case: You have a 50-minute transcript with a platform engineering lead. The Skill tags claims and numbers, sends gap questions back to the source, drafts a 1,500-word case study with a before/after metrics ledger and a mandatory failure section, then runs a quote audit before subject review. ## Quick Start Turn this interview transcript into a publishable case study with verified quotes and before-and-after metrics.
