Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Builds production-grade Retrieval Augmented Generation pipelines with vector search, hybrid retrieval, and advanced re-ranking strategies.
Optimizes vector storage and retrieval strategies for high-performance AI applications and semantic search.
Develops autonomous AI agents and multi-agent systems using industry-standard frameworks like LangChain, CrewAI, and AutoGen.
Generates deterministic, wide-gamut color palettes and GF(3) trit assignments for scientific visualization and UI theming in Julia.
Orchestrates playful multi-agent exploration anchored by Leonid Levin's algorithmic complexity and optimality guarantees.
Models developmental biology cell fate transitions through gradient flow, potential surfaces, and fractional diffusion dynamics.
Analyzes and simulates critical opalescence signatures and phase transition dynamics in physical and biological systems.
Enables acausal, multi-domain modeling and simulation of complex physical systems using Modelica and Wolfram Language.
Conducts systematic exploratory data analysis to uncover hidden patterns, anomalies, and actionable insights in unfamiliar datasets.
Optimizes Large Language Model performance through expert prompt design, few-shot learning, and advanced reasoning patterns.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking strategies.
Facilitates visual agent design and advanced reasoning configuration for building sophisticated, multi-step AI workflows.
Enables natural language data exploration, automated SQL generation, and interactive visualization using agent-based AI.
Performs rigorous, systematic comparisons of data segments, cohorts, and time periods to uncover actionable drivers of difference.
Simplifies the creation of interactive maps and geographic data visualizations using GeoViews and GeoPandas.
Configures and verifies scientific data acquisition systems by automating hardware discovery and parameter management.
Optimizes vector embedding selection and text chunking strategies for production-grade RAG and semantic search applications.
Builds sophisticated Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced document processing patterns.
Performs objective technical analysis on weekly price charts to identify trends, support levels, and probabilistic price scenarios.
Guides systematic computational text analysis for social science research using R or Python to produce publication-ready results.
Conducts systematic qualitative interview analysis using abductive reasoning to generate novel theoretical insights from research data.
Implements high-performance persistent memory and learning patterns for AI agents using AgentDB.
Optimizes and manages PolicyEngine microsimulations with advanced caching, data access, and entity mapping patterns.
Generates policy impact simulations, distributional analyses, and interactive dashboards using the PolicyEngine framework.
Combines vector similarity and keyword-based search to enhance retrieval accuracy in RAG systems and search engines.
Implements optimized document splitting and processing workflows for Retrieval-Augmented Generation (RAG) systems.
Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.
Optimizes document retrieval and semantic search workflows using RAG best practices, vector databases, and advanced chunking strategies.
Builds and manages structured knowledge graphs to enhance AI reasoning and map complex data relationships.
Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.
Scroll for more results...