Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Integrates a persistent AI memory layer to manage user preferences and conversation context across multiple sessions.
Guides the selection, implementation, and optimization of vector databases like Pinecone, Weaviate, Chroma, and Qdrant for RAG-based AI applications.
Integrates AssemblyAI for cost-effective transcription, sentiment analysis, and PII redaction within your development workflow.
Streamlines audio and video transcription workflows by providing implementation patterns and comparative analysis for Whisper, Deepgram, and AssemblyAI.
Identifies and matches audio content through advanced fingerprinting techniques for music recognition and automated segment detection.
Integrates sophisticated AI capabilities including multi-tier LLM fallbacks, on-device models, and local image generation.
Integrates enterprise-grade real-time speech-to-text, speaker diarization, and low-latency audio processing into development workflows.
Enables high-accuracy speech-to-text transcription and audio processing using OpenAI's Whisper models.
Manages and visualizes structured project knowledge through an indexed database of theorems, evidence chains, and data provenance.
Deploys specialized domain-expert agents with curated academic corpuses and persona-driven intellectual methodologies.
Scaffolds complete multi-agent research collaborations with specialized agent roles, knowledge tooling, and structured session planning.
Analyzes source material to determine its suitability for the IMRaD research format and identifies missing structural components.
Implements advanced causal reasoning, counterfactual analysis, and System 2 deep learning architectures to build robust, intervention-aware AI models.
Automates the extraction and analysis of SEC EDGAR filings and financial statements for comprehensive business intelligence.
Integrates MiniMax's advanced text-to-speech engine to generate, clone, and design high-fidelity AI voices within Claude Code.
Executes Python scripts and manages local Anaconda environments with integrated support for organized file structures and Chinese language visualization.
Conducts systematic landscape research, competitive analysis, and evidence-based strategy evaluations to inform technical and business decisions.
Routes AI requests to various LLM providers including OpenAI, Grok, Groq, and DeepSeek using the SwiftOpenAI-CLI agent mode.
Analyzes CSV files automatically to generate comprehensive statistical summaries and tailored visualizations using Python and pandas.
Implements high-performance semantic vector search for intelligent document retrieval and RAG systems using AgentDB.
Simplifies scientific data analysis by managing labeled multidimensional arrays with Xarray's powerful indexing and metadata features.
Searches and downloads arXiv paper source code and LaTeX files for scientific research and analysis.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM responses with external knowledge and semantic search.
Architect sophisticated LLM applications using LangChain's agents, memory systems, and complex chain patterns.
Implements systematic evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.
Automates comprehensive CSV data analysis and visualization by instantly generating statistical reports and charts without requiring user prompts.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment and monitoring.
Automates the creation, editing, and analysis of Excel spreadsheets with a focus on dynamic formulas and financial modeling standards.
Recommends the most efficient Anthropic architecture for AI projects by analyzing requirements and selecting the optimal mix of skills, agents, and SDK primitives.
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