review-pr
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Explora e instala miles de habilidades para AI Agents en el directorio de Killer-Skills. Compatible con Claude Code, Windsurf, Cursor y más.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Prevent include cycles and platform-boundary leaks by enforcing header layering.
Load a 3D model from an OBJ file, create a textured mesh with mipmaps, and render with a fly-around camera. Use when someone needs to load geometry from a file, parse OBJ models, or render textured 3D meshes in SDL3 GPU.
Ordo JIT compilation and performance optimization guide. Includes Schema-aware JIT, TypedContext derive macro, Cranelift compilation, performance tuning. Use for optimizing rule execution performance, reducing latency, increasing throughput.
Handle automated PR review feedback and merge when ready
Ordo rule engine Rust development guide. Helps create RuleSet, Step, conditional branches, terminal results. Use for writing rule definitions, understanding Step Flow model, creating Decision/Action/Terminal steps.
Open source erp
Error handling patterns for stock_picker_bot using FastAPI exception handlers, try/except blocks, and logging. Covers API errors, database failures, yfinance failures, and LLM API errors.
How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management