react-native-best-practices
React Native performance optimization - FPS, bundle size, TTI, memory management, animations.
浏览 5dlabs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
104收录技能的仓库 Stars 合计
140仓库 Forks
15平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。