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Found 17 Skills
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Scientific method expert for systematic bug investigation and root cause analysis. Use when users report bugs, crashes, unexpected behavior, or debugging requests. Applies hypothesis-driven investigation, controlled experiments, and rigorous validation across any programming language or platform.
Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.
Use when working with error diagnostics smart debug
Use when working with debugging toolkit smart debug
Systematically diagnose and resolve bugs through conversational investigation and root cause analysis
Executes browser workflows while monitoring JavaScript console for errors, warnings, and messages. Use when you need error-free validation, debugging context during automation, or proactive error detection in web applications. Triggers on "check for console errors", "monitor JavaScript errors", "validate error-free execution", or "debug browser workflow". Works with Playwright MCP browser automation tools.
Systematic debugging workflow — reproduce, investigate, hypothesize, fix, and prevent. Covers root cause analysis, bug category strategies, evidence-based diagnosis, and post-mortem documentation.
ALWAYS LOAD THIS SKILL when: something doesn't work as expected, documentation is unclear, need to understand library internals, debugging integration issues, or before making assumptions about how a library works. Contains opensrc repo paths, debugging workflows, and examples for Effect, TanStack, TRPC, Drizzle, Better Auth, OpenCode.
Search Sourcegraph-indexed codebases for patterns, examples, and system understanding. Triggers on implementation questions, debugging, or "how does X work" queries.
Build AdonisJS 6 + Inertia.js (React) applications from scratch through production. Full lifecycle - setup, pages, forms, shared data, debugging.
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".