Discover DevOps skills, compare source repositories and read the instructions for each workflow.
Complete setup for AMD Strix Halo (Ryzen AI MAX+ 395) PyTorch environments. Handles ROCm installation verification, PyTorch community builds (official wheels don't work with gfx1151), GTT memory configuration,...
Guides users through migrating to Rust 2024 edition features including let chains, async closures, and improved match ergonomics. Activates when users work with Rust 2024 features or nested control flow.
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
Execute SQL queries on Danmarks Statistik data stored in DuckDB. Use when user needs specific data analysis, filtering, aggregation, or joins. Also includes table summary functionality.
Perform SQL joins and multi-table analysis on DST data in DuckDB. Use when research requires combining multiple tables on common dimensions (time, region). Provides patterns for common DST dimension joins and m...
Get detailed metadata for a specific Danmarks Statistik table including variables, dimensions, and structure. Use before fetching data to understand table schema.
Search and list Danmarks Statistik tables by subject or keyword. Use when user needs to find specific tables or browse tables within a subject area.
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis scripts. **CRITICAL:** All analysis sc...
Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, building dashboards, or displaying trends from database tables.
List all Danmarks Statistik tables currently stored in DuckDB with metadata. Use when user wants to know what data is available locally or explore stored tables.
Browse Danmarks Statistik subject hierarchy to explore available data topics and categories. Use when user wants to discover what data is available or explore DST's organizational structure.
Generate HTML research reports with embedded data, charts, and analysis. Use when creating final research deliverables. Supports single comprehensive reports or multiple focused reports. Handles styling, struct...
Execute numerical calculations and mathematical computations using Julia. Use this skill for matrix operations, linear algebra, numerical integration, optimization, statistics, and scientific computing tasks.
Fetch actual data from Danmarks Statistik API and store in DuckDB. Use when user wants to download and store specific DST table data for analysis.
Proactively analyzes Parquet file operations and suggests optimization improvements for compression, encoding, row group sizing, and statistics. Activates when users are reading or writing Parquet files or disc...
Check data freshness and age for DST tables in DuckDB. Use when determining if data needs refreshing or validating data currency before analysis.
Validate panel ↔ creative brief consistency, catch design drift
Explain the DAIC (Discuss-Align-Implement-Check) workflow, help users understand current mode, what's allowed in each mode, and how to transition between modes - ANALYSIS-ONLY skill
Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and increm...
Guidance for 50+ specialized Wolf agent roles with responsibilities and collaboration patterns
Creates comprehensive assessment tools, rubrics, and evaluation materials for student work. Use when the user asks to create rubrics, build assessments, evaluate student learning, or needs grading criteria. Gen...
Guide user through creating a project using the Natural Planning Model with adaptive depth control (Quick/Standard/Deep). Ensures every project has clear purpose, outcome, and at least one next action.
Structured ideation for options, trade-offs, and a clear decision
Adaptive brainstorming for VCV Rack module concepts and improvements
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.