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Found 1,682 Skills
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Use when working with debugging toolkit smart debug
Complete debugging and troubleshooting guide for Shopify including Liquid errors, theme preview debugging, API error handling, JavaScript console debugging, network request inspection, cart issues, checkout problems, and common error codes. Use when debugging Liquid syntax errors, troubleshooting theme rendering issues, fixing API errors, debugging JavaScript, investigating cart problems, or resolving webhook failures.
Helps users debug Tauri v2 applications across VS Code, RustRover, IntelliJ, and Neovim. Covers console debugging, WebView DevTools, Rust backtrace, CrabNebula DevTools integration, and IDE-specific launch configurations.
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
Debug Streamlit frontend and backend changes using make debug with hot-reload. Use when testing code changes, investigating bugs, checking UI behavior, or needing screenshots of the running app.
Troubleshoot and fix bugs systematically. Use when errors occur, tests fail, or unexpected behavior is observed. Covers root cause analysis and debugging strategies.
Debug issues specific to mobile applications including platform-specific problems, device constraints, and connectivity issues.
ALWAYS use when diagnosing Ably issues — messages not arriving, presence not updating, connection failures, auth errors (40101, 40142, 40160), channel lifecycle problems, push notification issues, Chat room issues, Spaces member/cursor issues, or any Ably error code. Provides Ably CLI commands to observe live traffic, inspect state, and simulate clients. Not for building new Ably integrations (use using-ably skill instead).
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.
Use when you see memory warnings, 'retain cycle', app crashes from memory pressure, or when asking 'why is my app using so much memory', 'how do I find memory leaks', 'my deinit is never called', 'Instruments shows memory growth', 'app crashes after 10 minutes' - systematic memory leak detection and fixes for iOS/macOS
Container debugging and troubleshooting techniques for production issues