发现 data ai debugging 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Traces deoptimization events where execution falls back from compiled code to interpreter. Use to detect deoptimization loops, unstable assumptions, and type instability. Zero transfers in steady-state is the g...
Counts exact execution frequencies (not time) at function/statement level. Shows interpreted vs compiled execution split. Use to verify functions compile (>95% compiled), understand control flow patterns, and v...
Fetches information from official GraalVM, Truffle, and Graal compiler documentation for API guidance, performance optimization, compiler flags, profiling, specializations, Bytecode DSL, Truffle DSL, partial ev...
Time-based sampling profiler showing WHERE execution time is spent (wall-clock time, not frequency). Provides histogram with self/total time, compilation tiers (T0/T1/T2), and flame graphs. Use as FIRST step to...
[PHASE 4] Implements and validates fixes for verified theories. Entry: PERFORMANCE_THEORIES.md has a verified theory. Outputs: Code fix, BENCHMARK_BASELINE.md new column, theory marked fixed/fix-failed. Next: L...
Experimental allocation profiler tracking memory allocations at guest-language level. Shows allocation sites, object types, and memory pressure patterns. Use to identify allocation-heavy locations, find unneces...
Detects optimization barriers during Truffle compilation. Identifies virtual calls, non-constant stores, unresolved type checks, and TruffleBoundary issues that prevent peak performance. Reports exact source lo...
Dumps and analyzes Graal IR compiler graphs showing optimization decisions. Use BGV format with bgv2json/seafoam to inspect escape analysis, boxing removal, inlining decisions, and call node types. Reveals what...
[PHASE 2] Analyzes code to identify optimization opportunities. Entry: BENCHMARK_BASELINE.md exists AND (no PERFORMANCE_THEORIES.md OR all theories fixed). Outputs: PERFORMANCE_THEORIES.md. Next: PHASE 3 (verif...
[PHASE 3] Proves theories with profiling tools. Entry: PERFORMANCE_THEORIES.md has unverified theories. Outputs: Theory marked verified/falsified. Next: PHASE 4 (implementing-performance-fixes) when one theory...
Logs every compilation event with timing, tier (T1/T2), success/failure, and invalidation reasons. Use to verify hot code is compiling, diagnose compilation failures/bailouts, track recompilation cycles, and un...
[PHASE 1] Creates benchmark suite and performance expectations. Entry: No BENCHMARK_BASELINE.md exists. Outputs: BENCHMARK_BASELINE.md, benchmark files. Next: PHASE 2 (generating-performance-theories).
Performance optimization techniques for Svelte 5 and SvelteKit applications. Use when users ask about performance, optimization, slow rendering, bundle size, memory leaks, profiling, lazy loading, code splittin...
Expert code reviewer for TypeScript + React 19 applications. Use when reviewing React code, identifying anti-patterns, evaluating state management, or assessing code maintainability. Triggers: code review reque...
Audit and improve SwiftUI runtime performance. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps.
Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors.
Profile native macOS/iOS apps using Time Profiler via CLI (xctrace). Use when asked to identify performance hotspots, profile CPU usage, or diagnose slow code paths without opening Instruments.
Provides expert UX analysis, usability assessment, and accessibility audit. Use this skill when the user needs user experience evaluation, accessibility review, or user flow analysis. Triggers include requests...
Provides expert QA analysis, testing strategy review, and quality process assessment. Use this skill when the user needs test coverage evaluation, testing strategy guidance, or quality assurance audit. Triggers...
Provides expert observability analysis, logging review, and monitoring assessment. Use this skill when the user needs logging audit, error tracking evaluation, APM review, or monitoring strategy assessment. Tri...
Provides expert backend analysis, API/service architecture review, and integration guidance. Use for API design evaluation, service layer review, data access patterns, or when asked to assess server-side code....
Provides comprehensive technology stack auditing with LIVE RESEARCH capability. Analyzes version currency, code patterns, conventions, anti-patterns, and security advisories for ANY framework (Laravel, React, V...
Provides expert architectural analysis and strategic recommendations for software projects. Use for architecture reviews, system design evaluation, tech stack assessment, scalability/modernization strategy, or...
Provides expert performance analysis, bottleneck identification, and optimization assessment. Use this skill when the user needs performance audit, Core Web Vitals review, or scalability evaluation. Triggers in...
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。