django-setup
Initialize Django projects for HTTPS development with virtual environments and mkcert SSL certificates
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Initialize Django projects for HTTPS development with virtual environments and mkcert SSL certificates
Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md docume...
Use when processing payments, handling payment methods, implementing PaymentIntents, or integrating Payment Element. Invoke for payment flow setup, 3D Secure authentication, refund processing, payment method ma...
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or...
Deep understanding of K1.reinvented's compilation architecture, node system, and extension methodology. Teaches why graphs compile to C++ and how to extend the system without violating minimalism.
Compute rolling 6h/1D correlations and betas vs BTC from local OHLCV CSVs, plus 4H CoC and 1H VWAP status. Use when the user requests rotation eligibility or structure checks.
Use when creating maps, working with geographic projections, or processing GeoJSON data. Invoke for world maps, choropleth maps, projection types, geo path generators, spherical geometry, or geographic feature...
Use when creating tree diagrams, force-directed networks, Voronoi diagrams, or hierarchical layouts. Invoke for org charts, node-link diagrams, treemaps, dendrograms, force simulations, spatial indexing, or net...
Use when making structured decisions between multiple options - creates weighted scoring spreadsheet with systematic evaluation across considerations grouped by area
Extracts structured data from cybersecurity fatigue research papers and calculates statistical correlations
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipeline...
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run compl...
Generates professional reports from research and data
Assess technical, financial, operational, and organizational feasibility of learning projects including resource requirements, budget, timeline, and risk analysis. Use when evaluating project viability before c...
Calculate objective mastery rates, analyze performance distributions, identify achievement gaps, and generate learning analytics dashboards. Use when analyzing assessment data, measuring outcomes, or generating...
This skill should be used when seeding databases with realistic fake data for development, testing, or staging environments. Supports PostgreSQL, MySQL, SQLite, MongoDB with ORM-based seeding (SQLAlchemy, Djang...
Data Lake architecture and management including medallion architecture (bronze/silver/gold zones), data catalog with AWS Glue, partitioning strategies, schema evolution, data quality, governance, cost optimizat...
Proactive skill for validating dbt models against coding conventions. Auto-activates when creating, reviewing, or refactoring dbt models in staging, integration, or warehouse layers. Validates naming, SQL struc...
Specialized skill for designing AWS DynamoDB single-table schemas with optimized access patterns. Use when modeling data, designing table structure, or optimizing DynamoDB queries for production applications.
Manage PostgreSQL databases using Postgres MCP. Query data, inspect schemas, analyze table structures, run migrations, debug database issues, and manage test data. Use when working with databases, debugging que...
Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services,...
Automatically applies when optimizing database queries. Ensures EXPLAIN analysis, proper indexing, N+1 prevention, query performance monitoring, and efficient SQL patterns.
Optimize RAG performance with reranking, caching, parallel processing, and production deployment patterns. Use when improving retrieval quality, adding rerankers, deploying to production, implementing caching s...
Use when managing Shannon CLI performance and costs - check cache statistics, clear stale entries, set budgets, understand automatic model selection and cost optimization
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.