Loading...
Loading...
Found 1,681 Skills
Debug Docker containers, images, and infrastructure with systematic diagnostic techniques. This skill provides comprehensive guidance for troubleshooting container exit codes, OOM kills, image build failures, networking issues, volume mount problems, and permission errors. Covers four-phase debugging methodology from quick assessment to deep analysis, essential Docker commands, debug container techniques for minimal images, and platform-specific troubleshooting for Windows, Mac, and Linux.
Debug Flask applications systematically with this comprehensive troubleshooting skill. Covers routing errors (404/405), Jinja2 template issues, application context problems, SQLAlchemy session management, blueprint registration failures, and circular import resolution. Provides structured four-phase debugging methodology with Flask-specific tools including Werkzeug debugger, Flask-DebugToolbar, and Flask shell for interactive investigation.
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 Django web applications with systematic diagnostic approaches. This skill covers troubleshooting Django-specific errors including TemplateDoesNotExist, ImproperlyConfigured, IntegrityError, migration conflicts, CSRF failures, N+1 query problems, and circular imports. Includes Django Debug Toolbar setup, ORM query logging, pdb/ipdb usage, shell_plus debugging, and comprehensive logging configuration. Provides four-phase methodology for root cause analysis and regression prevention.
Debug Express.js and Node.js applications with systematic diagnostic techniques. This skill provides comprehensive guidance for troubleshooting middleware execution issues, routing problems, CORS errors, async error handling, memory leaks, and unhandled promise rejections. Covers DEBUG environment variable usage, Node Inspector with Chrome DevTools, VS Code debugging, Morgan request logging, and diagnostic middleware patterns. Includes four-phase debugging methodology and common error message reference.
Debug Vue.js 3 application issues systematically. This skill helps diagnose and resolve Vue-specific problems including reactivity failures with ref/reactive, component update issues, Pinia store state management problems, computed property caching bugs, Teleport/Suspense rendering issues, and SSR hydration mismatches. Provides Vue DevTools usage, console debugging techniques, Vite dev server troubleshooting, and vue-tsc type checking guidance.
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query problems, configuration binding failures, authentication/authorization issues, and startup failures. Includes Visual Studio and VS Code debugging, dotnet-trace, dotnet-dump, dotnet-counters tools, Serilog configuration, Application Insights integration, and four-phase debugging methodology.
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.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Plan, write, and diagnose Instagram Reels that earn cold-audience reach. Use whenever someone wants a reels script or reels hook for a specific Reel, is debugging why a Reel flopped, wants to know if a draft is worth testing with Trial Reels before going public, or needs a reels caption tuned for the post-hashtag instagram algorithm. Built around what Mosseri has publicly named as the signal hierarchy (watch time, sends per reach, likes per reach), the Trial Reels test-then-publish loop, the Original Content Guidelines and 30-day recovery window, the Edits app, and Reels Insights metrics (skip rate, share rate, followers from this post). Covers a Reels-specific reels strategy: send-driving CTAs, originality without watermarks, audio licensing by account type, captions as the primary SEO signal, and the anti-patterns that quietly cap distribution. Pattern-based guidance, not a virality promise.