Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Optimizes machine learning model performance by reducing latency and memory footprint through advanced compression and deployment strategies.
Guides the implementation of AI governance, regulatory compliance, and responsible AI practices using frameworks like the EU AI Act and NIST AI RMF.
Architects production-grade machine learning systems including end-to-end pipelines, feature stores, and scalable model serving infrastructure.
Evaluates technology and AI systems for ethical risks using comprehensive impact assessments and responsible innovation frameworks.
Deploys and manages enterprise AI/ML workloads, Generative AI Hub models, and orchestration pipelines on SAP BTP.
Optimizes Haystack RAG pipelines by leveraging DSPy's data-driven prompt tuning and programmatic optimization capabilities.
Deploys production-ready recommendation architectures featuring multi-tier caching, feature stores, and automated A/B testing frameworks.
Orchestrates end-to-end machine learning workflows using industry-standard tools like Airflow, Kubeflow, and MLflow.
Develops and deploys in-database machine learning models using the SAP HANA Python Client for PAL, APL, and AutoML workflows.
Integrates SAP AI Core and Generative AI Hub capabilities into JavaScript and Java applications with enterprise-grade orchestration and security features.
Builds and optimizes data processing pipelines, integrations, and machine learning scenarios within the SAP Data Intelligence Cloud environment.
Simplifies LLM API integration by providing a unified Python interface for over 100 providers using a consistent OpenAI-compatible format.
Simplifies the installation, configuration, and management of Mozilla Llamafile for running local, OpenAI-compatible LLMs.
Executes machine learning examples on remote GPU hosts via SSH by syncing minimal workspaces and launching Docker-based training scripts.
Configures and manages local LLM inference using Mozilla Llamafile to provide offline, OpenAI-compatible AI capabilities.
Simplifies LLM interactions by providing a unified Python interface for 100+ AI providers with consistent OpenAI-format syntax.
Maps LinkML enum permissible values to verified ontology terms and CURIEs using the Ontology Access Kit (OAK).
Conducts deep-dive information gathering and data synthesis to produce actionable strategic insights and comprehensive reports.
Creates, analyzes, and manages complex Excel spreadsheets with a focus on financial modeling standards and formula integrity.
Designs, optimizes, and deploys scalable large language model architectures and high-performance RAG systems.
Orchestrates task delegation to external LLM services by offloading high-token execution while maintaining central reasoning within Claude.
Profiles and optimizes Python code to identify bottlenecks, reduce latency, and minimize memory consumption using industry-standard tools.
Facilitates PhD-level academic research by managing specialized methodology skills and enforcing rigorous scientific standards.
Provides PhD-level guidance for selecting, designing, and validating academic and scientific research methodologies.
Provides rigorous, PhD-level critiques of academic manuscripts and research methodologies to ensure high-impact scholarly standards.
Facilitates breakthrough problem-solving by applying first-principles reasoning and cross-domain analogies to overcome complex technical bottlenecks.
Conducts rigorous statistical analysis, power calculations, and data interpretation using PhD-level methodologies.
Guides the design and execution of rigorous qualitative studies, thematic analysis, and coding schemes for non-numerical data.
Matches complex research questions to rigorous experimental designs, sampling strategies, and validity controls using PhD-level frameworks.
Configures and manages local LLM inference using Mozilla's llamafile to provide offline, OpenAI-compatible AI capabilities.
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