Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Extracts structured training examples from document sets to create high-quality datasets for teaching LLMs specific tasks or styles.
Facilitates reproducible academic research and data pipelines using dbt and Streamlit while enforcing rigorous data integrity standards.
Streamlines academic research data analysis by enforcing reproducible dbt pipelines and interactive Streamlit dashboards.
Establishes rigorous and defensible ground truth labels for evaluation datasets based on authoritative guidelines.
Downloads solar observation data from SDO, STEREO, and Solar Orbiter missions for scientific analysis and machine learning.
Converts Snakemake and Nextflow pipelines into robust Pegasus workflows for high-performance computing environments.
Develops and deploys deep learning models for solar physics using preprocessed Sun and Space Weather data.
Enables Claude to interactively explore, analyze, and modify open Microsoft Excel workbooks using natural language commands.
Transforms raw SDO/AIA solar observation data into standardized, ML-ready formats through automated calibration and registration pipelines.
Visualizes solar observation data, EUV imagery, and machine learning model outputs using SunPy and Matplotlib.
Automates the creation of production-grade Pegasus scientific workflows from high-level pipeline descriptions.
Optimizes multi-agent AI systems through intelligent coordination, performance profiling, and cost-aware orchestration.
Automates multi-stage research idea generation and evaluation using graph-guided search and tournament-style ranking.
Develops production-grade Python code with a focus on type safety, fail-fast logic, and rigorous testing for research environments.
Extracts structured training pairs from academic peer reviews and source documents to build high-quality datasets for LLM fine-tuning.
Provides expert guidance on control system design, analysis, and identification using the ctrlsys library.
Provides expert guidance and routine lookup for the ctrlsys control systems library, covering LQR design, Kalman filtering, and system identification.
Enhances decision-making through a multi-model adversarial reasoning protocol and reliability-weighted aggregation.
Verifies mathematical claims and generates Lean 4 formal proofs or counterexamples using the Harmonic Aristotle API.
Transcribes audio and video files into text via a specialized Speech2Text API with support for JWT authentication and task polling.
Facilitates the development and management of multi-agent Retrieval-Augmented Generation (RAG) pipelines with seamless Notion integration.
Generates publication-ready scientific figures and multi-panel layouts optimized for top-tier academic journals like Nature and Science.
Designs, analyzes, and generates protein sequences and structures using Evolutionary Scale Modeling (ESM3 and ESM C).
Implements lightweight dataset tracking and reproducibility patterns to ensure data changes are explicit and traceable.
Organizes Python research code by implementing consistent logging, metadata tracking, and result comparison workflows.
Develops, optimizes, and executes quantum circuits on IBM Quantum hardware and simulators using the industry-standard Qiskit framework.
Conducts systematic academic literature reviews across multiple scientific databases with verified citations and automated document generation.
Accesses the NIH Metabolomics Workbench REST API to retrieve comprehensive metabolomics study data, metabolite structures, and standardized RefMet nomenclature.
Facilitates the development and migration of Python-based AI agents using LangGraph v1 and LangChain v1 standards.
Integrates Google's Gemini models directly into the terminal for one-shot Q&A, content generation, and text summarization.
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