Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Analyzes and prioritizes raw user feedback into structured summaries and actionable insights using advanced pattern recognition.
Extracts overt and covert legislative intent from bill text to identify hidden agendas and potential gotchas.
Analyzes research papers to evaluate scientific rigor, summarize key findings, and assess study quality using structured metrics.
Builds a comprehensive psychological model of a subject by combining meticulous deductive logic with psychoanalytic depth.
Analyzes text inputs to provide deep psychological profiling and behavioral insights on individuals.
Analyzes psychological profiles and situational challenges to predict an individual's likely behavior and reactions.
Analyzes historical thinking patterns and past errors to identify potential biases and improve the accuracy of current predictions.
Transforms complex investigation data into detailed, professional GraphViz diagrams and structured intelligence analysis reports.
Automates the creation, editing, and formatting of professional Excel spreadsheets and financial models with dynamic formulas.
Builds production-grade Apache Airflow pipelines using industry-standard best practices for orchestration and reliability.
Accelerates Python and NumPy programs using composable transformations for high-performance machine learning and scientific simulations.
Automates protein testing and validation by connecting computational designs to cloud-based laboratory experiments and optimization tools.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Streamlines astronomical data analysis and astrophysical research using the core Astropy Python ecosystem.
Builds, simulates, and optimizes quantum circuits for various quantum hardware platforms using Google's Cirq framework.
Queries the ClinicalTrials.gov API v2 to search, filter, and export comprehensive clinical trial data for research and analysis.
Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive for bioinformatics workflows.
Processes and analyzes high-throughput sequencing data (NGS) to generate publication-quality visualizations and quality control metrics.
Streamlines the creation of visually engaging, research-backed scientific presentations for conferences, seminars, and academic defenses.
Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and sophisticated semantic search patterns.
Formulates testable scientific hypotheses and experimental designs supported by literature synthesis and publication-quality schematics.
Builds machine learning models and unsupervised embeddings for genomic interval data and BED file collections.
Builds, evaluates, and deploys production-ready machine learning models using the industry-standard Python scikit-learn library.
Solves complex single and multi-objective optimization problems using state-of-the-art evolutionary algorithms and visualization tools.
Access and interpret the Human Metabolome Database for metabolite identification, biomarker discovery, and clinical chemistry research.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Enables seamless programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D molecular structures.
Automates Electronic Lab Notebook workflows through the LabArchives REST API for research data management and backup.
Queries the PubChem database to retrieve chemical structures, molecular properties, and bioactivity data for cheminformatics workflows.
Accelerates quantum circuit development, hardware transpilation, and algorithm execution using the industry-standard Qiskit SDK.
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