cc_projects

Split PDF files into smaller files by pages, page ranges, or chunks. Use when working with .pdf files, when user asks to split/divide PDFs, extract pages, separate pages, or create individual PDF files from multi-page documents.

Generate complete CRUD API endpoints with async patterns, Pydantic validation, JWT authentication, and proper error handling. Activates when creating new API resources or routes.

Production deployment guidance for Quart applications including Docker, Hypercorn configuration, environment management, monitoring, and performance tuning. Activates when deploying or optimizing for production.

Comprehensive guide to common Quart async patterns including app factory, blueprints, async sessions, background tasks, error handling, and WebSocket patterns. Activates when implementing Quart features or refactoring code.

Generate comprehensive async pytest tests for Quart endpoints, database operations, and WebSocket connections. Activates when writing tests or ensuring code coverage.

Access pattern library extracted from existing templates for reuse when creating new templates. Use when creating .md files for commands, agents, skills or when generating CLAUDE.md, README.md, or settings.json. Provides templatable patterns and quick-start presets.

Implement Scrapy pipeline patterns for data processing, validation, cleaning, and storage when processing scraped items. Automatically creates pipelines for common data workflows including CSV, JSON, database export, and data transformation.

Create Docker configurations and deployment workflows for Scrapy projects when containerizing spiders or deploying to production. Generates Dockerfiles, docker-compose setups, and orchestration configurations.

Generate Scrapy spiders with best practices when creating new spiders, crawlers, or implementing scraping patterns. Automatically scaffolds spiders based on target website type and requirements.

Generate comprehensive test suites for Scrapy spiders, pipelines, and middlewares when implementing tests or improving coverage. Creates unit tests, integration tests, and contract tests with proper fixtures and mocking.

Generate modal and modeless dialog windows for Tkinter applications. Use when creating dialogs, popups, or secondary windows, when user mentions "dialog", "popup", "modal", or when working with files in views/dialogs/ directory.

Add comprehensive form validation to Tkinter views using the template's validator utilities. Use when creating forms, handling user input, when user mentions "validation", "form", or when working with Entry/Text widgets.

Scaffold new MVC components (Model, View, Controller) for Tkinter applications following the template's architecture. Use when creating new features, when user mentions "MVC", "model", "view", or "controller", or when working with .py files in models/, views/, or controllers/ directories.

Implement advanced React component patterns including compound components, render props, and composition patterns. Use when building flexible, reusable component APIs.

Implement custom React hooks for reusable logic including state management, side effects, and data fetching. Use when extracting component logic into reusable hooks.

Implement TanStack Query (React Query) patterns for data fetching, caching, mutations, and optimistic updates. Use when setting up API integration or data fetching strategies.

Generate Claude Code configuration files (commands, agents, skills, settings.json) with proper YAML frontmatter and structure. Use when creating .claude/ configuration or .md files in .claude/commands/ or .claude/agents/ directories.

Implement proper directory structure for project templates following established patterns. Use when creating new templates or organizing template directories.

Implement common Django design patterns including managers, querysets, mixins, services, and architectural patterns. Use when refactoring code or implementing standard Django patterns.

Generate Django REST Framework serializers with validation, nested relationships, and best practices. Use when creating or updating API serializers, especially for complex models with relationships.

Add comprehensive validation to Django models using validators, clean methods, and constraints. Use when implementing model validation, business rules, or data integrity checks.