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Accelerating Data Pipeline Throughput

data-throughput-accelerator

Use this skill for optimizing large-scale data ingestion, ETL, and data warehouse loading. It helps diagnose bottlenecks (such as extraction speed, network transfer, or loading time) and implements best practices like idempotent writes, native cloud scans, and checkpointing to achieve maximum processing speed while strictly guaranteeing data integrity and traceability.

Database Migration Best Practices For Production

database-migrations

A comprehensive guide to safe and reversible database migration patterns. Covers zero-downtime schema changes, data backfilling, and rollbacks for major databases like PostgreSQL and MySQL, and popular ORMs (Prisma, Drizzle, Django). Learn techniques like concurrent indexing and the expand-contract pattern to ensure production stability.

Scaffold Domain Bounded Context Structure

This tool automates the creation of a standard directory structure for a Domain-Driven Design (DDD) Bounded Context. It is essential when starting a new subdomain, separating a large monolithic application, or setting up a fresh, well-organized module structure, adhering to best practices for domain, application, and infrastructure layers.

Mechanical Quality Gate for AI Agents

A deterministic 'Stop hook' designed to enforce session hygiene for AI agents. It checks machine-verifiable facts such as file modification timestamps of learning logs, disk space, and predefined rationalization patterns. This gate ensures that complex tasks lead to captured knowledge, acting as a mechanical safeguard complementing AI self-auditing.

Dependency Vulnerability Scanner Tool

dependency-check

This comprehensive tool scans all project dependencies against databases of known CVEs (Common Vulnerabilities and Exposures) and security vulnerabilities. It is essential for conducting thorough security audits of third-party packages, ensuring code quality before major releases, or responding to specific security advisories. It provides actionable reports categorized by severity.

Deployment Patterns and CI/CD Strategies

deployment-patterns

A comprehensive guide covering modern application deployment strategies, including Blue-Green, Canary, and Rolling deployments, ensuring zero downtime. It also provides deep dives into Docker multi-stage builds, container best practices, and setting up robust CI/CD pipelines using tools like GitHub Actions.

Building Scalable Design Systems

This guide outlines the architecture and implementation steps for building a robust, production-ready design system. It covers core elements like design tokens, reusable components, and layout patterns. Ideal for teams needing to maintain design consistency, ensure accessibility, and synchronize design (Figma) with implementation (Storybook).

Django Production Architecture Patterns

django-patterns

This guide outlines best practices for building scalable and maintainable Django applications and APIs. It covers recommended project layouts, implementing separated configuration files (dev/prod), advanced ORM techniques, and integrating middlewares, caching, and signals for enterprise-level robustness. Ideal for professional backend development.

Django Security Best Practices Guide

django-security

A comprehensive guide covering essential security best practices for Django applications. It details how to implement robust authentication, granular authorization (RBAC), and crucial security settings like CSRF/XSS protection, HSTS, and secure environment configuration to prevent common vulnerabilities in production deployments.

Django Deployment Verification Checklist

django-verification

A comprehensive, multi-phase checklist for ensuring the quality, security, and deployment readiness of Django applications. It covers linting (ruff, mypy), unit testing (pytest), database migrations, security audits (bandit, pip-audit), and performance checks, making it an essential quality gate for CI/CD pipelines before merging or deploying to production.

Generate and Manage Project Documentation

This tool provides comprehensive functionality for generating, updating, and maintaining project documentation. It excels at detecting 'documentation drift' by comparing the current codebase against existing documentation, flagging any inconsistencies. Users can scope generation to specific APIs or the entire project, and set up recurring maintenance schedules using cron triggers.

Docker Compose Best Practices Patterns

docker-patterns

A comprehensive guide to best practices for using Docker and Docker Compose. It covers setting up standard web stacks for local development, designing multi-container architectures, secure Dockerfile practices (multi-stage builds, non-root users), advanced networking strategies, and volume management for persistence. Essential for migrating to robust, containerized workflows.

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