tensorboard
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
chrome-devtools
Browser automation via Puppeteer CLI scripts (JSON output). Capabilities: screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing. Actions: screenshot, scrape, automate, test, profile, monitor, debug browser. Keywords: Puppeteer, headless Chrome, screenshot, PDF, web scraping, form fill, click, navigate, network traffic, performance audit, Lighthouse, console logs, DOM manipulation, element selector, wait, scroll, automation script. Use when: taking screenshots, generating PDFs from web, scraping websites, automating form submissions, monitoring network requests, profiling page performance, debugging JavaScript, testing web UIs.
Python Performance
Master Python optimization techniques, profiling, memory management, and high-performance computing
rust-performance
Master Rust performance - profiling, benchmarking, and optimization
audit-performance
Performance-focused audit that can run in background during implementation. Checks for inefficiencies, memory leaks, widget rebuilds. Injects P0 findings to main agent.
performance-profiler
CPU/memory profiling, database query optimization, and performance analysis
skill-performance-profiler
Analyzes skill usage patterns across conversations to track token consumption, identify heavy vs. lightweight skills, measure invocation frequency, detect co-occurrence patterns, and suggest consolidation opportunities. Use when the user asks to analyze skill performance, optimize skill usage, identify token-heavy skills, find consolidation opportunities, or review skill metrics.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
chrome-devtools
Control and inspect Chrome browser using Chrome DevTools Protocol - navigate pages, debug network requests, analyze performance, take screenshots, interact with elements, and automate browser tasks.
code-review-pro
Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
instruments-profiling
Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.
