ml-pipeline-workflow
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
123 skills found
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Orchestrates multi-agent iterative refinement for high-quality OpenClaw skill development, ensuring rigorous testing and lifecycle management.
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, and structure, providing actionable improvements, variations for testing, and prompt engineering best practices.
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.
Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.
Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.