Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Executes Stata commands and manages statistical workflows directly through the Claude interface.
Validates and analyzes datasets to ensure they are optimized for Unsloth fine-tuning and Chinchilla optimality.
Analyzes single-cell omics data using deep generative models for tasks like batch correction, integration, and differential expression.
Implements high-performance, secure text-to-speech synthesis using Kokoro TTS for real-time voice applications.
Monitors financial markets autonomously to generate AI-driven trading signals using multi-agent consensus and the Stirrup framework.
Executes machine learning workloads and local commands on remote NVIDIA GPUs by prefixing them with 'gpu' for instant cloud compute.
Converts various file formats including PDF, Office docs, and media into clean Markdown for LLM analysis and text processing.
Conducts autonomous, multi-source research tasks and generates comprehensive reports using Google's Gemini Deep Research API.
Streamlines scientific research by fetching arXiv paper sources and automating BibTeX citation management via the NASA ADS API.
Transforms complex datasets into publication-quality figures and interactive visualizations using established design principles and domain-specific conventions.
Automates the lifecycle of LLM fine-tuning workloads on RunPod GPU instances using the Unsloth framework.
Automates the generation of professional model cards and the deployment of fine-tuned LLMs to the Hugging Face Hub.
Implements high-performance, conceptually dense scientific and numerical analysis code following research workflow standards.
Provides a comprehensive C/C++ API reference and implementation patterns for high-performance local LLM inference using llama.cpp.
Provides a comprehensive reference for developing native C extensions and GCL applications within the GreyCat ecosystem.
Synthesizes fragmented research findings into coherent, structured narratives with evidence-based uncertainty quantification.
Generates optimized training notebooks and scripts for fine-tuning LLMs using the Unsloth framework.
Manages local GPU fine-tuning workflows using Unsloth to optimize LLM training performance and resource utilization.
Simplifies the deployment and management of Unsloth fine-tuning jobs on Hugging Face cloud GPUs.
Provides expert guidance and automated tools for statistical modeling, experiment design, causal inference, and production-grade machine learning pipelines.
Implements high-performance, privacy-preserving wake word detection for always-listening voice assistants using openWakeWord and test-driven development.
Integrates local Large Language Models using llama.cpp and Ollama while implementing robust security measures against prompt injection and resource-based attacks.
Optimizes Large Language Models through 4-bit and 8-bit quantization to enable efficient deployment on resource-constrained hardware.
Optimizes AI prompts by applying architecture-specific techniques for autoregressive and reasoning-based models.
Analyzes, transcribes, and edits video files using AI-powered frame extraction, local speech-to-text, and multi-modal audio understanding.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and data visualization.
Transforms complex business data into actionable insights and strategic recommendations using modern BI tools and predictive analytics.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and retrieval-augmented generation.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search infrastructure.
Optimizes and designs high-performance LLM prompts using advanced techniques like chain-of-thought and few-shot learning.
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