What problem does it solve? Turning research results into a defensible paper story is hard: pitches sprawl, contributions are not checkable, and venue details get invented. This Skill runs a structured interview that settles the pitch, problem, key idea, contributions, and venue, then records them in tracked files. ## Core Features & Use Cases - Dialogue-first story coaching: Interviews the user one question at a time, or drafts from imported idea docs and result digests under mates/, to settle pitch, problem, key idea, contributions, and venue rationale in notes/story.md. - Claim ledger seeding: Creates notes/claims.md with one proposed, falsifiable claim per contribution, giving downstream drafting and audit skills a ledger to work against. - Venue profile with confirmation discipline: Builds cycls/<cycle>/venue.yml only from user-confirmed values such as page limits and deadlines, never inventing dates, and activates the submission cycle for downstream skills. - Use Case: A researcher with experimental results imported from a STAR project runs the coach to shape a CVPR submission: it proposes a pitch grounded in the digests, seeds three claims, and records the confirmed deadline and page limit. ## Quick Start Ask the AI to run /stage-stry-coach to shape your paper's story and pitch from the imported results, then confirm each section as it is drafted.
