GitHub
playwriter
Browser automation via Playwriter MCP - works as a Chrome extension with full Playwright API access. Use for browser testing, web scraping, form filling, and any browser interaction.
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development debugging AI Skills
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go-specialist
Go language consultant providing guidance on best practices, testing with testify, concurrency patterns, error handling, and technology stack recommendations. Use when answering Go questions, reviewing Go code,...
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GitHub
codebase-discovery-expert
Expert in codebase archaeology and documentation retrieval. Use this when starting new project phases, refactoring large modules, or integrating new frameworks.
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GitHub
code-review
Comprehensive code review focusing on quality, security, performance, and best practices. Use when reviewing PRs, commits, or code changes.
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systematic-debugging
Four-phase systematic debugging methodology for efficient problem resolution. Use when investigating bugs, errors, or unexpected behavior.
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pentest
Network reconnaissance and vulnerability scanning. USE WHEN user wants to scan a target, find vulnerabilities, or perform security assessment.
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GitHub
react-best-practices
React 19 patterns and performance best practices from Vercel Engineering. Trigger: When writing, reviewing, or refactoring React/Next.js code. Covers React Compiler, Server Components, new hooks (use, useAction...
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GitHub
swift-concurrency-expert
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 in a feature or file.
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GitHub
react-native-best-practices
React Native performance optimization guidelines from Callstack's Ultimate Guide. Use this skill when writing, reviewing, or debugging React Native code for performance issues. Triggers on tasks involving FPS o...
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GitHub
security-review
コードのセキュリティレビューを行うとき、脆弱性チェックを行うときに使用
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GitHub
copilot-agent
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...
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GitHub
ios-accessibility-audit
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).
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GitHub
tracing-inlining-decisions
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...
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GitHub
detecting-deoptimizations
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...
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GitHub
tracing-execution-counts
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...
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GitHub
fetching-truffle-documentation
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...
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GitHub
profiling-with-cpu-sampler
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...
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GitHub
implementing-performance-fixes
[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...
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GitHub
profiling-memory-allocations
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...
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GitHub
detecting-performance-warnings
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...
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GitHub
analyzing-compiler-graphs
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...
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GitHub
generating-performance-theories
[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...
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GitHub
verifying-performance-theories
[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...
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GitHub
tracing-compilation-events
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...
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