How does the search-first approach improve debugging?

The skill identifies that 80% of bugs have existing online solutions. It automatically searches Stack Overflow, GitHub, and documentation to find fixes before consuming time on manual investigation.

Which tools does the Troubleshoot skill utilize?

It leverages WebSearch and WebFetch for external research, and Read, Glob, and Grep for internal code analysis and log inspection.

Can I save custom solutions for my specific project?

Yes, the skill includes a 'Learn' phase that prompts you to save verified fixes to a local or global learnings.yaml file, making future diagnosis near-instant.

What diagnostic frameworks does it use to find root causes?

It employs structured mental models such as the 5 Whys, Fishbone diagrams, and the 'Wolf Fence' binary search method to isolate variables systematically.

Smart Troubleshooting

Name: Smart Troubleshooting
Author: digital-stoic-org

bydigital-stoic-org

開発者ツール

Automates systematic bug diagnosis and error resolution using a search-first, mindful diagnostic workflow.

概要

The Troubleshoot skill implements a structured, multi-phase diagnostic framework designed to resolve software errors, crashes, and exceptions with high efficiency. By prioritizing a 'search-first' approach that leverages vast online resources and integrating local 'learnings' from previous incidents, it guides Claude through qualifying the technical environment, isolating root causes via mental models like the 'Wolf Fence' or '5 Whys,' and performing iterative OODA-loop investigations. This skill transforms the debugging process from guesswork into a repeatable science, ensuring every resolution is documented in a persistent knowledge base to prevent future regressions.

主な機能

Root-cause analysis frameworks including the 5 Whys and Fishbone (6 M's) methodology.
Persistent knowledge management via learnings.yaml for rapid pattern matching of recurring bugs.
Search-first diagnostic workflow prioritizing Stack Overflow, GitHub, and official documentation.
Systematic isolation techniques including binary search (Wolf Fence) and minimal reproduction scripts.
0 GitHub stars
Interactive OODA loop (Observe, Orient, Decide, Act) for resolving complex, non-obvious system failures.

ユースケース

Building a team-wide repository of historical bug fixes and architectural edge cases.
Identifying environment-specific configuration drift between local, containerized, and cloud deployments.
Resolving cryptic runtime exceptions or stack traces by cross-referencing online community solutions.

概要

主な機能

Root-cause analysis frameworks including the 5 Whys and Fishbone (6 M's) methodology.
Persistent knowledge management via learnings.yaml for rapid pattern matching of recurring bugs.
Search-first diagnostic workflow prioritizing Stack Overflow, GitHub, and official documentation.
Systematic isolation techniques including binary search (Wolf Fence) and minimal reproduction scripts.
0 GitHub stars
Interactive OODA loop (Observe, Orient, Decide, Act) for resolving complex, non-obvious system failures.

ユースケース

Building a team-wide repository of historical bug fixes and architectural edge cases.
Identifying environment-specific configuration drift between local, containerized, and cloud deployments.
Resolving cryptic runtime exceptions or stack traces by cross-referencing online community solutions.