database-driver-design
Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
235 skills found
Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.
Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.
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.
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Reliably rotate images by 90-degree increments using a deterministic Python script. Supports PNG, JPG, GIF, BMP, and TIFF, preserving quality with automated file handling.
Stateful, multi-session workflow manager that uses Work Logs to persist context, enable checkpoints, and manage iterative progress across long-running tasks.
Virtual machine development expert focusing on bytecode design, stack-based/register-based VM implementation, memory management, and garbage collection.
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.