Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Generates high-quality videos with consistent subject appearance using Google’s Veo 3.1 model and reference images.
Analyzes, manipulates, and visualizes Excel spreadsheets using Python-based automation to generate insights and formatted reports.
Performs multi-agent cryptocurrency market analysis, tracking price trends, news sentiment, and macro correlations for digital asset evaluation.
Formally verifies mathematical statements and generates Lean 4 proofs using Harmonic's Aristotle engine.
Generates publication-ready scientific diagrams and statistical plots for academic papers using a multi-agent pipeline.
Applies precise data filtering and conditional logic across Honeydew perspectives, metrics, and attributes using standardized SQL syntax.
Builds and manages reactive Python notebooks and data applications using the marimo framework.
Queries, analyzes, and explores complex data through the Honeydew semantic layer using natural language or structured fields.
Optimizes LLM API expenditures through intelligent model routing, budget guardrails, and efficient prompt caching patterns.
Implements architectural principles for building reliable, long-running AI agents that recover gracefully from failure and maintain context integrity.
Conducts data-driven market research, competitive analysis, and investor due diligence with verified source attribution.
Coordinates multiple specialized AI agents to solve complex tasks through collaborative, competitive, and analytical workflows.
Implements modern R programming practices, tidyverse patterns, and performance optimizations for data science workflows.
Executes and monitors neural network training runs using best-practice configurations and mandatory logging backends.
Provides expert guidance on marketing research methodology, survey design, and statistical data analysis frameworks.
Optimizes LLM API expenses through intelligent model routing, budget tracking, and efficient caching strategies.
Manages and maintains GPU-accelerated semantic search indexes for local codebases within Claude Code.
Manages complex relationships and structured data entities across multiple domains using GraphRAG memory.
Architects and debugs complex OctoMesh ETL pipelines using YAML-defined data flows and transformations.
Transforms experimental results into publication-ready LaTeX academic papers following professional research standards and style guides.
Generates valid BioLM Protocol YAML files for protein engineering and bioinformatics pipelines.
Implements professional MLflow patterns for experiment tracking, model registry management, and reproducible ML pipelines.
Implements expert annotation pipeline designs, quality assurance protocols, and scalable labeling systems for machine learning workflows.
Runs the interactive LLM Arena in the terminal to compare AI model outputs with high-quality markdown rendering.
Streamlines academic literature reviews by discovering, ranking, and processing research papers from top scientific venues.
Analyzes Lebanese market gaps using Ridge Regression to recommend optimal locations for new business branches based on demographic and competitor data.
Generates and optimizes high-impact features from raw datasets to boost machine learning model performance.
Synthesizes multi-source information into structured knowledge, generating comprehensive reports, summaries, and knowledge graphs with automated contradiction resolution.
Integrates Google Gemini's multimodal capabilities to process, analyze, and generate audio, video, images, and documents within Claude Code.
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