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Found 1,339 Skills
Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.
Evidence-driven investigation for network, streaming, and protocol-layer bugs. Use when debugging connection resets (ECONNRESET, HTTP/2 RST_STREAM, INTERNAL_ERROR), SSE or long-polling stalls, fixed-time connection drops, CDN/proxy/CGNAT idle timeouts, or any incident where symptoms do not match the obvious cause. Applies falsification-first methodology — layered isolation experiments to pin down the responsible network layer, env-gated runtime instrumentation for non-invasive observation, and counter-review agent teams to challenge single-cause assumptions. Strongly trigger on "socket closed unexpectedly", "stream interrupted", "ECONNRESET", "HTTP/2 INTERNAL_ERROR", "fails after N seconds", "works sometimes but not always", "upstream silent for X seconds", or any scenario where the investigator might jump to conclusions before evidence. Generalizes to any multi-layer system investigation where assumption-first thinking is the failure mode.
Debug Scikit-learn issues systematically. Use when encountering model errors like NotFittedError, shape mismatches between train and test data, NaN/infinity value errors, pipeline configuration issues, convergence warnings from optimizers, cross-validation failures due to class imbalance, data leakage causing suspiciously high scores, or preprocessing errors with ColumnTransformer and feature alignment.
Debug React Native issues systematically. Use when encountering native module errors like "Native module cannot be null", Metro bundler issues including port conflicts and cache corruption, platform-specific build failures for iOS CocoaPods or Android Gradle, bridge communication problems, Hermes engine bytecode compilation failures, red screen fatal errors, or New Architecture migration issues with TurboModules and Fabric renderer.
Debug NestJS issues systematically. Use when encountering dependency injection errors like "Nest can't resolve dependencies", module import issues, circular dependencies between services or modules, guard and interceptor problems, decorator configuration issues, microservice communication errors, WebSocket gateway failures, pipe validation errors, or any NestJS-specific runtime issues requiring diagnosis.
Debug Nuxt.js issues systematically. Use when encountering SSR errors, Nitro server issues, hydration mismatches like "Hydration text/node mismatch", composable problems with useFetch or useAsyncData, plugin initialization failures, module conflicts, auto-import issues, or Vue-specific runtime errors in a Nuxt context.
Debug Rails issues systematically. Use when encountering ActiveRecord errors like RecordNotFound, routing issues, N+1 query problems detected by Bullet, asset pipeline issues, migration failures, gem conflicts, ActionController errors, CSRF token problems, or any Ruby on Rails application errors requiring diagnosis.
Debug TensorFlow and Keras issues systematically. This skill helps diagnose and resolve machine learning problems including tensor shape mismatches, GPU/CUDA detection failures, out-of-memory errors, NaN/Inf values in loss functions, vanishing/exploding gradients, SavedModel loading errors, and data pipeline bottlenecks. Provides tf.debugging assertions, TensorBoard profiling, eager execution debugging, and version compatibility guidance.
Debug Svelte application issues systematically. This skill helps diagnose and resolve Svelte-specific problems including reactivity failures, runes issues ($state, $derived, $effect), store subscription memory leaks, SSR hydration mismatches, and compiler warnings. Covers both Svelte 4 legacy patterns and Svelte 5 runes-based reactivity. Provides debugging tools like $inspect(), {@debug} tags, and svelte-check CLI usage.
Fix failing CI checks and GitHub Actions on a Pull Request.
Identify and fix flaky E2E tests by running them repeatedly and investigating failures.
GitLab label operations. ALWAYS use this skill when user wants to: (1) list project labels, (2) create new labels, (3) manage label colors and descriptions.