awesome-paper-research-skills

Automatically route natural-language paper research requests to the right module in a complete publication workflow for computer science, engineering, mechanical, and general academic manuscripts. Use for requests about topics, literature, citations, figures, palettes, language polishing, AI-voice cleanup, reviewer simulation, revision, response letters, re-review, and submission gates without requiring the user to name a specific module.

Use when polishing academic manuscript language, especially Chinese-to-English scientific writing, Nature-style or venue-aware prose, section-aware tense, hedging, overclaim control, AI-voice cleanup, article repair, and claim-preserving revision.

Use when running the complete paper publication pipeline from topic intake to literature search, claim-evidence audit, experiment planning, figure contract, language cleanup, five-reviewer panel, revision, re-review, and submission gate. Coordinates the repository's machine-readable pipeline and stage-specific paper skills.

Use when planning, auditing, or generating publication-quality scientific figures, including panel-evidence maps, figure contracts, Nature-style figure logic, SVG export, editable text, semantic palettes, and caption checks.

Use when auditing manuscript claims, citations, references, DOI/BibTeX metadata, citation support strength, unsupported claims, fabricated references, or claim-evidence-boundary maps.

Use when drafting, auditing, or improving data availability statements, code availability statements, FAIR metadata, dataset access routes, repository choices, restrictions, identifiers, and result-to-data traceability.

Use after a manuscript draft is complete and before submission when simulating five independent reviewer agents, editorial decision, reviewer scorecards, major/minor revision planning, re-review verification, or pre-submission peer-review risk analysis.

Use when scanning recent papers, GitHub repositories, Agent Skills, MCP servers, venue rules, AI research tools, or academic workflow updates before planning or revising a paper pipeline. Produces a source-grounded frontier ledger, freshness score, novelty tags, and action backlog.

Use when drafting, auditing, or structuring reviewer responses, rebuttal letters, revision maps, comment IDs, response-to-reviewer tables, manuscript change tracking, and polite evidence-forward disagreement.

Use before manuscript submission to audit final package completeness, venue format, title page, abstract, figures, tables, references, data/code availability, author declarations, cover letter, supplementary files, and export readiness.