autoconference:analyze

What problem does it solve?

This Skill helps you understand what happened during an autoconference, why certain researcher strategies succeeded or failed, and what transferable lessons you can apply to future runs.

Core Features & Use Cases

• Trajectory comparison: Contrasts researcher performance (best metric, convergence speed, exploration breadth, success rate) against the conference baseline.
• Failure mode analysis: Clusters reverted strategy attempts and summarizes peer-review challenges and overrules to reveal systematic issues.
• Cross-researcher insight extraction: Audits knowledge transfer from poster sessions, tracks adoption, and measures metric impact.
• Insight taxonomy + novelty assessment: Produces a structured set of actionable insights with confidence, transferability, and predictability scoring.

Use case: After completing an autoconference for a research goal, run this Skill to generate a full analysis-report.md that turns raw artifacts (TSV + round transcripts) into a decision-ready summary of what to keep, change, or avoid.

Quick Start

Use the autoconference:analyze skill to create an analysis report from a completed conference directory by specifying the conference folder that contains conference.md and conference_results.tsv.