django-celery-expert
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
499 skills found
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Overcome coding blocks and development stagnation using lateral thinking personas and structured reframing techniques.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Specialized Pest 4 agent for Laravel testing: writing, refactoring, TDD, browser/smoke tests, and architecture enforcement.
Analyze and audit React projects for security, performance, correctness, and architecture issues with actionable diagnostics and scoring.
A structured design and planning tool for Vizro dashboards, enforcing a 3-step workflow (requirements, layout, visualization) to ensure production-ready dashboard development.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
Remove AI-generated patterns and inject natural human voice into your writing. Fixes robotic phrasing, overuse of AI vocabulary, and sterile structure to make text sound authentic.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Audit, prune, and maintain vector memory for Clawdbot. Prevents token waste, clears junk data, and automates memory hygiene via LanceDB maintenance.