diaznakh/researchcomb

Compare research papers or other sources using a grounded matrix of methods, findings, disagreements, and evidence strength. Use for source comparison rather than a new broad literature survey.

Find and rank implementable machine-learning or technical approaches supported by papers, datasets, documentation, and code. Use when the user wants practical training or implementation plans.

Verify a research draft's citations, numerical claims, quotations, and attribution against underlying sources. Use for fact checking and citation checks rather than methodological peer review alone.

Review a paper, report, or research draft for methodological weaknesses, unsupported claims, and likely objections, with severity and a revision plan. Use for research review rather than ordinary code review.

Optimize a user-defined research metric through a bounded local experiment loop. Use when asked to try hypotheses, benchmark alternatives, and retain measured improvements.

Summarize a paper, PDF, report, repository README, or local research artifact while preserving methods, findings, limitations, and source locations.

Investigate an open-ended technical or academic question across primary sources and produce a cited research brief. Use for a substantial investigation beyond a narrow lookup.

Turn gathered research evidence into a paper-style manuscript or technical report with citations, equations, and requested length. Use for writing from evidence rather than source discovery alone.

Take a research topic through source discovery, synthesis, drafting, critique, and citation checks to produce an evidence-backed paper. Use when the user wants the whole paper workflow in one request.

Plan or execute a local reproduction of a paper, technical claim, or benchmark. Use when asked to reproduce results under recorded conditions.

Map literature on a research topic, laboratory, investigator, or author with search criteria and primary-source synthesis. Use for literature reviews and academic landscape surveys.

Check a research paper against its companion code, configurations, data pipeline, and reported benchmarks. Use for paper-to-code consistency and reproducibility audits.

Check GitHub for a newer ResearchComb release and give update instructions for Codex or Antigravity. Use only when the user asks to check for updates.

Run end-to-end research, find papers and citations, review drafts, audit paper code, plan replications, or monitor a topic. Use for evidence-backed academic and technical research tasks.