existential-birds
Publisher on askill
Reviews Rust test code for unit test patterns, integration test structure, async testing, mocking approaches, and property-based testing. Use when reviewing _test.rs files,
Reviews WidgetKit code for timeline management, view composition, configurable intents, and performance. Use when reviewing code with import WidgetKit, TimelineProvider, Widget protocol, or @main stru...
Reviews sqlx database code for compile-time query checking, connection pool management, migration patterns, and PostgreSQL-specific usage. Use when reviewing Rust code that uses sqlx, database queries...
LLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on functionality, security, test quality, overengineering, and dead code using weighted rubrics....
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Reviews React Flow code for anti-patterns, performance issues, and best practices. Use when reviewing code that uses @xyflow/react, checking for common mistakes, or optimizing node-based UI implementa...
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Reviews Combine framework code for memory leaks, operator misuse, and error handling. Use when reviewing code with import Combine, AnyPublisher, @Published, PassthroughSubject, or CurrentValueSubject.
Reviews URLSession networking code for iOS/macOS. Covers async/await patterns, request building, error handling, caching, and background sessions.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in sta...
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