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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137 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.
Development guide for self-improving MassGen via programmatic automation testing and visual UI/UX evaluation.
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
Build high-converting quiz and assessment funnels that generate qualified leads with rich prospect data and automated follow-ups.
Enforces code quality by dispatching a dedicated subagent to review work against project plans, requirements, and git commit history before tasks are completed or merged.
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
Expert UI/UX design assistant for React & Next.js. Provides visual critiques, design system architecture, and Tailwind CSS/shadcn/ui implementation guidance for production-grade web applications.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Deep document structure analysis and intelligent content extraction for knowledge bases.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.
Full-stack automated paper writing pipeline from research narrative to polished LaTeX/PDF.
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.