react-native-best-practices
React Native performance optimization - FPS, bundle size, TTI, memory management, animations.
Explorez les skills IA publiés de 5dlabs et consultez leurs instructions source.
Skills indexés
104Étoiles des dépôts des skills indexés
140Forks du dépôt
15Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
React Native performance optimization - FPS, bundle size, TTI, memory management, animations.
Four-phase debugging process - root cause investigation, pattern analysis, hypothesis testing, implementation.
CodeQL static analysis for interprocedural data flow and taint tracking across codebases.
Fuzzing coverage analysis - identify uncovered code, magic values, and track campaign effectiveness.
Vercel React/Next.js performance optimization guide with 45 rules across 8 categories, prioritized by impact.
Static analysis with Semgrep - pattern-based security scanning and custom rule creation.
Three.js performance optimization - 100+ rules for memory, rendering, geometry, materials, WebGPU, and WebXR.
Latitude.sh bare metal infrastructure management via API, MCP server, or CLI. Use when provisioning servers, managing VLANs, checking plans/regions, or automating bare metal deployments.
Git worktrees create isolated workspaces sharing the same repository for parallel branch work.
Complete development work - verify tests, present options (merge/PR/keep/discard), cleanup worktree.
Fuzzing Rust projects with cargo-fuzz and libFuzzer for finding bugs through automated input generation.
Property-based testing for stronger coverage than example tests - roundtrip, idempotence, invariants.
Write the test first, watch it fail, write minimal code to pass. The Iron Law of TDD.
Assess codebase maturity using 9-category framework - arithmetic, auditing, access controls, complexity, and more.
Parse and analyze SARIF files from static analysis tools - aggregation, deduplication, filtering.
Web Interface Guidelines for reviewing UI code compliance with modern design principles and accessibility standards.
Dispatch one agent per independent problem domain for concurrent investigation and implementation.
Ask clarifying questions when requests are underspecified - minimum questions to avoid wrong work.
Evidence before claims, always. No completion claims without fresh verification evidence.
Security-focused code review for PRs and diffs - risk classification, blast radius, attack scenarios.
Write comprehensive implementation plans with bite-sized tasks assuming zero codebase context.
Agent memory architecture including working, short-term, long-term, and temporal knowledge graphs.
Fetch LLM-optimized documentation for Prisma, the next-generation TypeScript ORM.
Fetch LLM-optimized documentation for Vercel, the frontend cloud platform.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.