dotnet-minimal-api-templates
Create production-ready ASP.NET Core Minimal API projects with async patterns, dependency injection, and comprehensive error handling. Use when building new .NET API applications or setting up backend API proje...
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Create production-ready ASP.NET Core Minimal API projects with async patterns, dependency injection, and comprehensive error handling. Use when building new .NET API applications or setting up backend API proje...
Implement reactive state management with Effect Atom for React applications
Core automation scripts for archetype selection, evidence validation, quality scoring, and safe bash execution
Ethical and effective web scraping techniques, anti-bot evasion, legal compliance, and data extraction strategies
Agent coordination, orchestration, and multi-agent workflow management scripts
One-time team setup that creates Kurt profile and foundation rules
Interactive research and planning (Stages 0-1) for VCV Rack module development
Creates hands-on student exercises and practice activities for learning prompt engineering. Use when the user asks to create student activities, practice exercises, or hands-on learning tasks. Generates exercis...
Use when starting Metro bundler for Expo development, debugging Metro errors, or enabling expo-mcp local capabilities - manages Metro lifecycle with EXPO_UNSTABLE_MCP_SERVER=1 flag for autonomous testing
Apply iOS/SwiftUI design principles following Apple Human Interface Guidelines when building any iOS UI component. Only execute this when the current project is an iOS project and involves UI-related work. Use...
Use when developing React Native components, installing packages via expo-mcp, implementing screens, or following RN best practices - integrates expo-mcp workflows (add_library, search_documentation) with produ...
Manages version releases for ash_cookie_consent Elixir library including CHANGELOG updates, version bumping, quality checks, Hex.pm publishing, and git tagging. Use when user asks to "release", "publish to hex"...
Sets up modern Python projects with uv tooling, src layout, and PEP8 standards. Handles both new and existing projects, presents interactive library selection for CLI/TUI apps, generates pyproject.toml, and pro...
Guides users on error conversion patterns, From trait implementations, and the ? operator. Activates when users need to convert between error types or handle multiple error types in a function.
Load module context from handoff files to resume work
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.