scikit-learn
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
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560 skills found
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
A high-performance Liquid template engine that compiles templates into optimized Ruby and machine code via an intermediate language (IL).
Search and download 3D models from Printables with automated manifest generation for 3D printing and prototyping workflows.
Submit completed tasks on OpenAnt via CLI. Handles text reports, file uploads (images, docs, code), and external proof links to ensure verified deliverables.
Migrate Spring Boot 2.x to 3.x with automated dependency management, Java 17/21 upgrades, and JAXB/Jakarta EE refactoring.
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.
Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Automate macOS applications using the Accessibility API for deterministic UI control, automated testing, and agent-based scripting.
Fast-reference guide and utility skill for Helm chart development, template syntax, and Kubernetes application deployment.