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Found 1,432 Skills
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res
Interactive debugger for Deno/TypeScript applications using the V8 Inspector Protocol. This skill should be used when investigating issues in Deno applications, including memory leaks, performance bottlenecks, race conditions, crashes, or any runtime behavior that requires step-by-step debugging, heap analysis, or CPU profiling. Provides CDP client tools, heap/CPU analyzers, and investigation tracking.
Software craftsmanship principles from The Pragmatic Programmer. Use this skill when discussing best practices, debugging strategies, career development, or pragmatic approaches to software development. Auto-activates for DRY violations, debugging sessions, and development workflow improvements.
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, and inspect datasets. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
Expert in building and testing conda/bioconda recipes, including recipe creation, linting, dependency management, and debugging common build errors
Use Codex CLI in full-auto mode to fix issues iteratively until tests pass. Autonomous debugging and test-fixing loop with sandbox safety.
Search Sourcegraph-indexed codebases for patterns, examples, and system understanding. Triggers on implementation questions, debugging, or "how does X work" queries.
Tail and inspect Cloudflare Worker logs from the CLI. Use when debugging API 401/500, openclaw auth, or web app errors. Covers both the homepage worker (apps/web) and the API worker (apps/api).
Debugging and troubleshooting Tokio applications using tokio-console, detecting deadlocks, memory leaks, and performance issues. Use when diagnosing async runtime problems.
Authoritative meta-skill for creating, auditing, and improving Agent Skills. Combines skill-coach expertise with skill-creator workflows. Use for skill creation, validation, improvement, activation debugging, and progressive disclosure design. NOT for general Claude Code features, runtime debugging, or non-skill coding.
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
[Fix & Debug] ⚡⚡ Fix a GitHub issue with systematic debugging