Generates a first draft of a clinical meta-analysis paper. Input the research report (including Methods and Results sections), language, and title to automatically generate a complete paper draft including Abstract, Introduction, Discussion, and other sections, with automatic PubMed retrieval of relevant references. Suitable for assisting in the writing of systematic reviews and meta-analyses.

Conduct professional peer reviews for papers or theses, providing structured evaluations and improvement suggestions; use when you need a pre-submission assessment, an internal review, or academic quality control.

Helps organize reviewer comments and generate a standardized Word (.docx) response letter that maps each change to its exact location (page/paragraph/line). Use when revising a manuscript, replying to peer-review feedback, or preparing internal review responses.

Analyze data with `forest-plot-styler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Screens research papers based on title/abstract and inclusion criteria, providing a structured Yes/No/Maybe decision. Use when you need to filter literature for meta-analysis or systematic reviews.

Clinical research outcome extraction for meta-analysis. Use when users need to extract outcome measures (binary, continuous, or survival data) from clinical research papers for systematic review and meta-analysis. Handles both database lookup by PMID and real-time LLM extraction.

Automates critical appraisal and quality assessment for research papers by analyzing text against established methodological standards (such as risk of bias tools, quality checklists, or reporting guidelines) and synthesizing a structured evaluation report. Use when you need to assess the methodological quality, internal validity, or reporting completeness of any type of study—including RCTs, observational studies, systematic reviews, qualitative research, or diagnostic accuracy studies.

Analyze data with `volcano-plot-labeler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Build and visualize a citation network from a source/target CSV to identify key papers, communities, and emerging hotspots; use when you have citation pairs and need fast literature review or trend analysis.

Retrieve the latest journal issue's table of contents and abstracts from URL/DOI/PMID/RSS/TOC sources, then generate Chinese key points locally (no external translation APIs) when a new issue needs quick review and archiving.

Filter literature by publication year, journal, and predefined screening rules to produce inclusion/exclusion lists; use when conducting preliminary screening or systematic review screening to narrow the literature scope.

Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy.

Direct REST API access to UniProt for protein search, entry retrieval, and identifier mapping; use when you need programmatic UniProtKB queries or cross-database ID conversion.

Create, edit, and extract content from PowerPoint (.pptx) files; use when you need to generate slides programmatically, update existing decks, or export slide previews.

Detects content similarity, verifies standardized citations and abbreviations, and flags potential academic integrity risks; use it before submission, during academic writing QA, or for compliance reviews.

Principles and checklists for designing and reviewing REST and GraphQL APIs; use when defining or evaluating API contracts (endpoints/schemas), naming, error models, pagination, versioning, and REST vs. GraphQL trade-offs.

Classifies and organizes literature by theme, method, and conclusion; use when you need to batch-read a folder of PDF/MD/DOCX/TXT files and output a structured CSV for literature reviews and annotation management.

Check for co-authorship and institutional conflicts between authors and suggested reviewers to support peer review integrity. Coauthorship and institutional conflict detection supported.

Organize, back up, compress, split, and merge files/folders using rule-driven plans; use when you need safe previews, conflict handling, and verification before executing file operations.

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

Learning tutoring planning and content production skill for creating study plans, generating exercises, writing answer explanations, and providing review/adjustment guidance; triggered by requests like “study plan”, “exercise set/question bank”, “answer analysis”, “error analysis”, “exam prep plan”, or “spaced/periodic review schedule”.

Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract medical entities (disease, intervention, population, outcomes) and generate professional search queries for seven major databases (PubMed, Cochrane, Embase, Web of Science, CNKI, Wanfang, VIP). Useful for developing search strategies for systematic reviews and meta-analyses.

Organize requirements into Markdown/JSON mind map structures; use when you need a hierarchical outline for mind map tools (e.g., XMind, ProcessOn, FreeMind) or for documentation planning.

Extract PDF selectable text and full-page or segmented page images (including tables) into Markdown with per-page headings and image links; use when you need both readable text and page visuals for PPT creation, review, or analysis.

Perform basic local PDF operations (merge, split, extract pages/text/tables, create) when users request offline PDF processing without external services.

Automatically generates a Markdown final-exam review plan or lab experiment schedule when you provide a date range, tasks/items, and available daily hours (via interactive prompts or a one-time JSON input).

Create and export PPTX decks using the local HTML/JS PPT framework in `D:\SKILL\project\ppt`. Use this when you need to generate slides from a topic/outline, edit slide content via `projects/*.js`, preview as HTML, or export a `.pptx` without relying on an existing template.

Check whether a paper’s Methods section contains all information needed for replication; use when preparing a manuscript for submission or reviewing methodological completeness.

Simulates a strict SCI peer-review workflow; trigger when a user uploads or pastes a manuscript (PDF/DOC/DOCX/TXT) and requests an innovation score (1–12) plus experimental-logic vulnerability checks and revision suggestions.

Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.

Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan's NSTC when you need agency-compliant narratives, budgets, and review-criteria alignment for a specific solicitation/FOA/BAA.

Navigate privacy regulations (GDPR, CCPA), review DPAs, and handle data subject requests. Use when reviewing data processing agreements, responding to data subject access or deletion requests, assessing cross-border data transfer requirements, or evaluating privacy compliance.

Review contracts against your organization's negotiation playbook, flagging deviations and generating redline suggestions. Use when reviewing vendor contracts, customer agreements, or any commercial agreement where you need clause-by-clause analysis against standard positions.

Programmatically edit Word documents (.docx) with live preview and track changes via SuperDoc VS Code extension. Use when editing DOCX files, making tracked changes, redlining, marking up contracts, or when the user wants to modify Word documents with insertions/deletions visible. Triggers on docx, Word, track changes, redline, markup.

Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.

Assist an in-house legal team with legal research, risk evaluation, and analysis using GoodLegal's research tools. Do not provide legal advice — flag that analyses must be reviewed by qualified legal

Use this skill whenever a lawyer or mediator needs help analyzing a dispute for mediation purposes. This includes: reviewing case materials (pleadings, contracts, correspondence, evidence) to identify issues in dispute, summarizing each party's position and interests, conducting legal analysis of the key issues, proposing mediation strategies or settlement directions, and preparing for mediation sessions. Trigger this skill when the user mentions 'mediation', 'dispute analysis', 'settlement', 'dispute resolution', 'identify issues in dispute', 'party positions', 'mediation brief', 'case analysis for mediation', 'ADR', 'mediation preparation', 'caucus strategy', 'settlement options', or any request to analyze a conflict between two or more parties with the goal of finding resolution. Also trigger when the user uploads case files and asks for a structured breakdown of who wants what, what the core disagreements are, or how the case might settle. Even if the user doesn't explicitly say 'mediation', trigger when the context involves analyzing opposing positions in a dispute with a resolution-oriented (rather than litigation-oriented) goal.

Guide to review incoming one-way (unilateral) commercial NDAs in a jurisdiction-agnostic way, from either a Recipient or Discloser perspective (user-selected), producing a clause-by-clause issue log with preferred redlines, fallbacks, rationales, owners, and deadlines.

Screen incoming NDAs and classify them as GREEN (standard), YELLOW (needs review), or RED (significant issues). Use when a new NDA comes in from sales or business development, when assessing NDA risk level, or when deciding whether an NDA needs full counsel review.

NIL (Name, Image, and Likeness) contract analysis for NCAA student-athletes from the athlete's perspective. Use when user says 'review this NIL contract', 'analyze this NIL deal', 'check this athlete agreement', 'review my NIL agreement', or uploads a PDF NIL contract for review. Identifies red flags, missing protections, and compliance issues. Produces a structured review memorandum with negotiation positions. Do NOT use for general contract review, employment agreements, non-NIL endorsements, or brand-side deal analysis.

Adversarial verification for AI-generated legal content with systematic fact-checking, source validation, and quality control. Use when User requests verification of legal documents, fact-checking of regulatory content, red team review, or quality assurance before distribution to clients/stakeholders. Provides structured verification reports with severity-categorized errors, verified sources, and distribution readiness assessment.

Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.

Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.

Search, summarize, and synthesize economics literature

Full autonomous research workflow — brainstorm, plan, implement, review, and document

Run multi-agent econometric review on estimation code, identification arguments, and research artifacts

Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.

Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones.

Download, split, and deeply read academic PDFs. Use when asked to read, review, or summarize an academic paper. Splits PDFs into 4-page chunks, reads them in small batches, and produces structured reading notes — avoiding context window crashes and shallow comprehension.

Structured literature search and synthesis with citation extraction and gap identification.