analyzer
01Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
10 tagged research tool, measured the same way as everything else here.
Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent
Compare two outputs WITHOUT knowing which skill produced them.
Agent
Evaluate expectations against an execution transcript and outputs.
Agent
Extracts atomic, testable findings from a single research paper. Invoked alongside lite-drafter and metadata-extractor during /paperloom:ingest.
Agent
Produces a short, triage-grade paper summary — Key Takeaways, Background, Main Idea & Summary, Critique. Invoked alongside metadata-extractor and finding-extractor during /paperloom:ingest. Returns JSON only; page assembly is handled by scripts/assemblepaper.py.
Agent
Extracts paper metadata (authors, date, venue, fields, DOI/arxiv ID) and a paper-quality assessment (credibility, experimental rigor, reproducibility) from a paper's plain text. Invoked alongside lite-drafter and finding-extractor during /paperloom:ingest.
Agent
Use this agent to review research methodology after experiments. Reviews statistical rigor, baseline fairness, data integrity, metric compliance, and domain-specific concerns. Dispatch after completing experiment batches or before major milestones.
Agent
Use this agent to proofread a paper draft. Reviews grammar, style, consistency, flow, terminology, notation, and caption quality. Dispatch after sections are assembled into a full paper draft.
Agent
Use this agent to verify research reproducibility. Checks that experiments can be independently reproduced: seeds recorded, environments specified, scripts available, data versioned, raw data untouched.