AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Enables high-performance, agentic code search and retrieval across single or multiple repositories using hybrid semantic and lexical indexing.
Automates the addition of new documentation pages to the Mintlify docs.json navigation structure.
Generates professional, research-backed scientific presentations and slide decks using PowerPoint or LaTeX Beamer.
Accelerates high-performance data analysis and manipulation using the lightning-fast Polars DataFrame library.
Processes and analyzes massive tabular datasets exceeding available RAM using lazy, out-of-core DataFrame operations.
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Deploys and manages serverless Python functions, GPU-accelerated ML models, and high-scale batch processing jobs in the cloud.
Processes and analyzes high-throughput sequencing data to generate publication-quality genomic visualizations and quality control reports.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
Automates laboratory workflows by writing and simulating Opentrons Python Protocol API v2 for Flex and OT-2 robots.
Manages scientific protocols on protocols.io, enabling discovery, creation, publication, and collaborative lab documentation.
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Generates competitive research proposals for NSF, NIH, DOE, and DARPA by applying agency-specific formatting, review criteria, and narrative structures.
Manages and analyzes annotated data matrices for single-cell genomics and large-scale biological datasets.
Performs rigorous statistical modeling and econometric analysis using regression, time series, and diagnostic testing.
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses in LaTeX format.
Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.
Access and analyze over 200 million AI-predicted protein structures for structural biology and computational drug discovery.
Performs advanced statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Manipulates, extracts, and generates PDF documents using specialized Python libraries and command-line tools for automated document workflows.
Accesses and queries the Ensembl REST API for genomic research, gene annotation, and variant analysis across 250+ species.
Evaluates scholarly research papers and proposals using the peer-reviewed ScholarEval framework to ensure scientific rigor and publication readiness.
Interfaces with the world's largest chemical database to search, retrieve, and analyze molecular data and bioactivity.
Generates concise, evidence-based medical treatment plans in professional LaTeX/PDF formats across all clinical specialties.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant clinical significance data.
Generates testable scientific hypotheses and detailed experimental designs based on observations and literature evidence.
Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.
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