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Found 55 Skills
Diagnose inference regressions with Doppler's shared browser/Node command contract, runtime presets, and report artifacts. (project)
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
Workflow for learning CuTe Python DSL by reading, importing, profiling, and extracting reusable patterns from CUTLASS Blackwell example kernels. Use when: (1) studying CUTLASS CuTe DSL reference implementations, (2) importing CUTLASS examples into the project runtime infrastructure, (3) building CuTe DSL knowledge base entries from profiling experiments, (4) understanding CuTe DSL API patterns, TMA pipelining, warpgroup scheduling, or persistent kernel structure.
Route Unity and Unreal frame-time complaints into one bottleneck-first profiling brief. Use when the main job is interpreting profiler screenshots, `stat unit` / `stat gpu` output, benchmark-route complaints, or Steam Deck / target-device review packets; choosing the smallest useful next capture; naming one primary bottleneck family; and deciding whether to stay with quick packets, move to an engine-native profiler, or escalate further. Route generic app/service tuning to `performance-optimization`, build/editor/package failures to `game-build-log-triage`, broader game-production coordination to `bmad-gds`, and mixed demo/community feedback to `game-demo-feedback-triage`.
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
Automatically discover debugging and profiling skills when working with GDB, LLDB, breakpoints, profiling, stack traces, memory leaks, core dumps, or performance profiling. Activates for debugging development tasks.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
Drop-in Vite/Webpack plugin that mirrors React Fiber trees, profiles renders, and provides visual debugging overlay for React 16-19 apps.
Systematically investigates, diagnoses, and resolves complex Magento 2 technical problems. Use when debugging issues, investigating bugs, analyzing performance problems, resolving errors, or troubleshooting system failures. Masters log analysis, performance profiling, and root cause analysis.