Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Monitors financial markets autonomously to generate AI-driven trading signals using multi-agent consensus and the Stirrup framework.
Automates the generation of professional model cards and the deployment of fine-tuned LLMs to the Hugging Face Hub.
Validates and analyzes datasets to ensure they are optimized for Unsloth fine-tuning and Chinchilla optimality.
Provides expert guidance and automated tools for statistical modeling, experiment design, causal inference, and production-grade machine learning pipelines.
Integrates local Large Language Models using llama.cpp and Ollama while implementing robust security measures against prompt injection and resource-based attacks.
Implements high-performance, secure text-to-speech synthesis using Kokoro TTS for real-time voice applications.
Implements high-performance, privacy-preserving wake word detection for always-listening voice assistants using openWakeWord and test-driven development.
Automates the lifecycle of LLM fine-tuning workloads on RunPod GPU instances using the Unsloth framework.
Optimizes Large Language Models through 4-bit and 8-bit quantization to enable efficient deployment on resource-constrained hardware.
Processes massive text contexts with high token efficiency using recursive inference-time scaling and Go-based exploration.
Builds advanced financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for robust investment decision-making.
Processes massive contexts through programmatic exploration and recursive analysis to achieve significant token savings.
Executes Stata commands and manages statistical workflows directly through the Claude interface.
Analyzes, transcribes, and edits video files using AI-powered frame extraction, local speech-to-text, and multi-modal audio understanding.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database queries, and structural bioinformatics.
Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.
Automates budget vs. actual financial variance analysis with professional reporting, materiality flagging, and executive summaries.
Analyzes and classifies the emotional tone of text data to provide insights into customer feedback, social media sentiment, and public opinion.
Generates standardized JavaScript scaffolds and implementation patterns for Tradovate trading indicators.
Tracks and manages AI/ML model versions, performance metrics, and lineage for streamlined model registry management.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Systematically designs and optimizes Claude prompts using a multi-level methodology for maximum effectiveness and cost efficiency.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Automates the generation of scheduler-aware phylogenomic workflows from genome assemblies using single-copy orthologs.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Extracts and validates structured data from scientific PDF collections for systematic reviews and meta-analyses.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
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