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Found 909 Skills
Xcode project setup, SwiftData persistence, testing, debugging, profiling, and app distribution for iOS development. This skill should be used when setting up Xcode projects, working with SwiftData models and queries, writing Swift tests, debugging with breakpoints, profiling with Instruments, distributing via TestFlight, or building for visionOS and ML features.
ast-grep rule writing and usage best practices. This skill should be used when writing, reviewing, or debugging ast-grep rules for code search, linting, and transformation. Triggers on tasks involving YAML rules, pattern syntax, meta variables, constraints, or code rewriting.
5 Whys, Fishbone diagrams, Fault Tree Analysis, and systematic debugging approaches. Use when investigating bugs, analyzing incidents, or identifying root causes of problems.
React render performance patterns including React Compiler integration, memoization strategies, TanStack Virtual, and DevTools profiling. Use when debugging slow renders, optimizing large lists, or reducing unnecessary re-renders.
Kubernetes resource configuration and troubleshooting. Use when debugging pod failures, configuring probes and resource limits, setting up RBAC or NetworkPolicies, or resolving common Kubernetes errors like CrashLoopBackOff or ImagePullBackOff.
Prometheus metrics and PromQL queries. Use when writing PromQL queries, creating recording or alerting rules, debugging metric scraping issues, or understanding counter/gauge/histogram behavior.
Create and work with Meta SAM 3 (facebookresearch/sam3) for open-vocabulary image and video segmentation with text, point, box, and mask prompts. Use when setting up SAM3 environments, requesting Hugging Face checkpoint access, generating inference scripts, integrating SAM3 into Python apps, fine-tuning with sam3/train configs, running SA-Co or custom evaluations, or debugging CUDA/checkpoint/prompt pipeline issues.
Catalog of non-obvious behaviors, gotchas, and platform-specific quirks in MultiversX that often lead to bugs. Use when debugging unexpected behavior, reviewing code for subtle issues, or learning platform-specific pitfalls.
Real-time serial log monitoring for ESP32 and microcontrollers. Capture device output to a file and monitor logs in real-time. Use when debugging embedded devices, investigating crashes, or monitoring device behavior.
Browser automation with Puppeteer CLI scripts. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, or encountering JavaScript debugging, browser automation errors.
This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Server Actions and routes, implementing logging wrappers, adding performance instrumentation, or establishing observability for debugging production issues.
Systematic methodology for debugging bugs, test failures, and unexpected behavior. Use when encountering any technical issue before proposing fixes. Covers root cause investigation, pattern analysis, hypothesis testing, and fix implementation. Use ESPECIALLY when under time pressure, "just one quick fix" seems obvious, or you've already tried multiple fixes. NOT for exploratory code reading.