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Skills IA research debugging

Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.

Catégories: research debugging

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GitHub

copilot-agent

Hiroky

GitHub Copilot CLIをサブエージェントとして活用し、コードベースの解析・調査を行う。 以下の場面で使用: (1) /copilot コマンドで明示的に呼び出された場合 (2) コードベースの広範な調査が必要で、別視点からの分析が有用...

GitHub

ios-accessibility-audit

0xabrar

Audit iOS accessibility for screens and flows. Use to check Dynamic Type, VoiceOver, touch targets, contrast, focus order, and reduced motion (platform guidance, not implementation).

GitHub

tracing-inlining-decisions

antonykamp

Shows inlining decisions during compilation with call tree and reasons for inline/don't-inline. Use to verify critical calls are inlined, understand why inlining failed (too large, recursive, boundary), and opt...

GitHub

detecting-deoptimizations

antonykamp

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...

GitHub

tracing-execution-counts

antonykamp

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...

GitHub

fetching-truffle-documentation

antonykamp

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...

GitHub

profiling-with-cpu-sampler

antonykamp

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...

GitHub

implementing-performance-fixes

antonykamp

[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...

GitHub

profiling-memory-allocations

antonykamp

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...

GitHub

detecting-performance-warnings

antonykamp

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...

GitHub

analyzing-compiler-graphs

antonykamp

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...

GitHub

generating-performance-theories

antonykamp

[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...

GitHub

verifying-performance-theories

antonykamp

[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...

GitHub

tracing-compilation-events

antonykamp

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...

GitHub

establishing-benchmark-baseline

antonykamp

[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).

GitHub

svelte-performance-optimization

maxnoller

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...

GitHub

typescript-react-reviewer

dotneet

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...

GitHub

performance-audit

patrickserrano

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.

GitHub

concurrency-expert

patrickserrano

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.

GitHub

native-app-profiling

patrickserrano

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.

GitHub

aholiab-ux

christopheraaronhogg

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...

GitHub

ezra-qa

christopheraaronhogg

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...

GitHub

zerubbabel-observability

christopheraaronhogg

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...

GitHub

hiram-backend

christopheraaronhogg

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....

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.

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