Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
171 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.
Data Analysis Specialist for EDA, statistical modeling, SQL queries, and Python-based visualization. Turn raw datasets into actionable insights through rigorous quantitative methods.
Classify and group meteorological and environmental variables into specific driver categories for consistent attribution analysis and environmental modeling.
Guided statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting for academic and experimental research.
Analyze geospatial data using GeoPandas with proper coordinate projections for accurate distance, filtering, and spatial relationship calculations.
Expand seed keywords into comprehensive lists and cluster them by intent and topic to optimize your pillar content strategy.
A versatile data analysis assistant for loading datasets, performing statistical calculations, visualizing trends, and generating professional summary reports.
Statistical visualization library for Python. Create publication-quality graphics like box plots, heatmaps, and violin plots with pandas integration and automatic statistical estimation.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Analyze and summarize web content like articles, newsletters, and blog posts into structured markdown reports. Perfect for content consumption, knowledge management, and research.
Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.
Validates cross-artifact consistency (spec, plan, tasks) and detects breaking changes (API, DB, UI) during software feature development.