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.
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.
Optimizes Large Language Models through 4-bit and 8-bit quantization to enable efficient deployment on resource-constrained hardware.
Automates the lifecycle of LLM fine-tuning workloads on RunPod GPU instances using the Unsloth framework.
Provides expert guidance and automated tools for statistical modeling, experiment design, causal inference, and production-grade machine learning pipelines.
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.
Processes massive text contexts with high token efficiency using recursive inference-time scaling and Go-based exploration.
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.
Tracks and manages AI/ML model versions, performance metrics, and lineage for streamlined model registry management.
Designs and implements personalized recommendation systems using collaborative filtering, content-based models, and hybrid approaches.
Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and deployment readiness.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Streamlines NVIDIA CUDA setup and GPU computing environments using Flox for deep learning and high-performance development.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Automates the generation of scheduler-aware phylogenomic workflows from genome assemblies using single-copy orthologs.
Extracts and validates structured data from scientific PDF collections for systematic reviews and meta-analyses.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
Streamlines automated protein testing and validation through cloud-based laboratory workflows and sequence optimization tools.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
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