Analyzes the feasibility of a proposed Meta-analysis topic by searching for existing Meta-analyses and Clinical Trials on PubMed/ClinicalTrials.gov. Use when you need to evaluate if a topic is viable for a new Meta-analysis.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Analyzes the feasibility of a proposed Meta-analysis topic by searching for existing Meta-analyses and Clinical Trials on PubMed/ClinicalTrials.gov. Use when you need to evaluate if a topic is viable for a new Meta-analysis.
Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
Accesses BioGRID ORCS CRISPR screen data (organisms, screens, scores). Invoke when user needs to search CRISPR screens, get vocabulary, or retrieve gene scores.
Access ClinPGx pharmacogenomics data (successor to PharmGKB) when you need to query gene-drug interactions, CPIC guidelines, allele functions, and drug-label PGx content for precision medicine and genotype-guided dosing.
Accesses Comparative Toxicogenomics Database (CTD) for chemical, gene, disease, and pathway interaction data. Invoke when user needs to query CTD, retrieve toxicogenomics data, or investigate chemical-disease relationships.
Access Ensembl REST API for vertebrate genomic data; use when you need gene/ID lookups, sequence retrieval, variant effect prediction (VEP), or homology/assembly coordinate mapping.
Analyze funding abstracts and project metadata to identify topic shifts and forecast near-term grant priorities.
Access the KEGG database API to retrieve biological data (genes, pathways, compounds, drugs). Invoke when the user asks to search, list, or get details from KEGG.
Query the Open Targets Platform to retrieve targets, diseases, or evidence records when you need target-disease association data and evidence-based scores for therapeutic discovery.
Integrate with the Benchling R&D platform when you need to programmatically manage registry entities, inventory, ELN entries, workflows, events, or data warehouse analytics via API/SDK.
Check if images meet 300 DPI printing standards, and intelligently restore blurry low-resolution images using AI super-resolution technology.
Perform fast file name and content searches with ripgrep (rg); use it when you need to locate files by glob/regex, find keywords across directories, or replace common find/grep workflows.
Filter and match postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field from a curated database.
An intelligent tool for precision medical literature search using PubMed's E-utilities API.
dpia-sentinel-oliver-schmidt-prietz
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
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Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files.
Run a comprehensive consistency audit across the entire repository, fix all issues found, and loop until clean.
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Meta-analysis frameworks and methods for mediation studies
Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.
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Strip AI writing patterns from academic text while preserving economics content and formal structure.
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.
Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton. Use for research-style formula development, not for fully rigorous theorem proving once the claim is already fixed.
Manage vast.ai GPU instance: $ARGUMENTS
Replication code and guide for Mostly Harmless Econometrics methods
Panel data analysis with fixed and random effects models
Sequential robustness checks in Stata with confounder blocks
Questionnaire and survey design with Likert scales and coding
Annotated deep learning paper implementations with code walkthroughs
Papers and tutorials on KAN learnable activation networks
Avoid common PyTorch mistakes and apply robust training patterns
Design principles of form, function, sustainability in architecture
Analyze algorithm complexity and computational efficiency for research
Portfolio theory, optimization algorithms, and asset allocation methods
Patent search, classification, landscape analysis, and prior art mining
Access UK laws and statutory instruments via the Legislation.gov.uk API
Adverse drug event detection, safety signal mining, and drug monitoring
Computational physics methods, simulations, and research tools
Access papers from institutional and subject repositories at scale
Resolve DOIs and retrieve publication metadata from CrossRef registry
Track scholarly mentions across the web via Crossref Event Data
Zotero workflow automation with custom actions and tags