Code Review skills
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- openclaw · 512 skills
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- shotaiuchi · 21 skills
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2336 skills
This skill configures Ollama as a private embedding provider for GrepAI, enabling fast, local code search with offline privacy.
This skill splits React components into reusable subcomponents by leveraging store-first data access, removing gratuitous prop drilling, and generating
This skill enforces mathematical first principles to optimize algorithms, architecture, and UI animations, improving efficiency, scalability, and payload size.
This skill provides automated code quality, security, and testing insights by coordinating multi-expert reviews to accelerate reliable software delivery.
This skill performs a comprehensive code review focusing on security, correctness, tests, performance, and architecture, with actionable improvement
This skill helps you optimize AI context retrieval by selecting only relevant data, using snippets, and prioritizing recent, necessary information.
This skill guides you to implement service files with DI, zod validation, DAO-based data access, and error handling for scalable TypeScript apps.
This skill helps optimize code chunking for embeddings by tuning size and overlap to balance precision and context.
This skill orchestrates UltraThink reasoning with isolated atomic solvers to rigorously verify complex problems end-to-end.
This skill helps you replace verbose state checks with clean helper methods for readable, type-safe state logic in your models.
This skill converts analysis notes from books into structured Claude Code skills with frameworks, principles, and reference materials.
This skill helps you automate Go project tasks with Mage by creating magefiles, defining targets, and managing dependencies.
This skill identifies and mitigates code injection vulnerabilities in AI systems by testing prompt-to-code, tool exploitation, and template injection vectors.
This skill guides Titanium project teams to apply TiDev best practices for stability, performance, and cross-platform reliability.
This skill helps reduce token waste by applying an anti-bloat checklist to prompts, context, and responses for clearer communication.
This skill reviews Rust API projects using Actix-web, Axum, or Rocket to optimize async handlers, extractors, and error handling.
This skill helps you craft minimal, cost-efficient prompts for coding tasks, speeding responses while maintaining quality.
This skill reduces the maximum lines per file by updating eslint thresholds, identifying oversized files, and generating a refactoring plan with split tasks.
This skill suggests refactoring opportunities to improve code structure, readability, and maintainability across methods, conditionals, and design patterns.
This skill helps you extract and standardize domain logic into testable modules with explicit invariants and deterministic errors.
This skill configures GrepAI to use GOB local file storage for embeddings, metadata, and indexes, enabling simple single-machine setups.