Apply a repeatable debugging playbook to AI workflow issues.
npx skills add https://github.com/finger-gun/sisu --skill debug-finger-gun
Please help me install this Agent Skill. Skill: debug Source: https://github.com/finger-gun/sisu/tree/main/packages/skills/skill-debug Command: npx skills add https://github.com/finger-gun/sisu --skill debug-finger-gun
Debugging AI workflows can be time-consuming and error-prone; this skill provides a structured, repeatable approach to reproduce issues, collect signals, isolate root causes, and verify fixes.
Use the debug skill to apply a reproducible debugging workflow to your failing AI-powered process.
High-intent search queries and answers about installing and using this skill.
A debugging playbook for AI workflows is a repeatable process to identify and fix reproducible issues by collecting signals, isolating failure points, and verifying fixes across projects. It provides guided analysis for root-cause triage.
To isolate the root cause of a failing AI workflow, follow a structured debugging playbook that guides you through signal collection, such as logs and traces, and systematic isolation of failure points before verifying fixes.
A debugging playbook for AI workflows specifically applies to reproducible issues. Non-reproducible issues fall outside its primary scope, which focuses on capturing consistent reproduction steps and signals for guided analysis.
The best way to verify fixes in AI workflows is to apply a structured debugging playbook that includes regression checks and documentation, ensuring you capture the fix and prevent the issue from reoccurring across projects.
To speed up troubleshooting in AI workflows, use a debugging playbook to identify and collect signals like logs, traces, and reproduction steps, allowing you to systematically isolate failure points and verify the fix.
oxieDiagnose software errors, isolate root causes, and document fixes.
marquesfelipDiagnose and remediate Go data races using race detector outputs and synchronization strategies.
hatayamaRetrieve and filter Unity Console log entries as JSON.
whd4Monitor live deployments for console errors, performance regressions, and page failures.
