code-quality-review
Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.
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82 skills found
Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.
Streamline continuous fuzzing for open-source projects using the OSS-Fuzz CLI framework to build harnesses, manage configurations, and generate coverage reports.
Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.
Generates minimal macOS Seatbelt sandbox configurations for application isolation and security profiling.
Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.
AI-driven web testability assessment using 10 core principles. Evaluates observability, controllability, and stability via Playwright and Vibium to identify testing bottlenecks and improve quality readiness.
Detects timing side channels in cryptographic code to prevent secret data leakage. Essential for auditing sensitive implementations.
Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.
Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.
Style template specification for AI-driven visual generation, defining artistic direction through standardized markdown templates.
Coverage-guided fuzzer for Ruby code and C extensions, powered by libFuzzer and address sanitizers to detect memory corruption and undefined behavior.
Expert Solana Anchor development: build programs, manage PDAs, implement SPL tokens, handle security audits, and perform fuzz testing with Trident.