Trace root causes through four-phase debugging before implementing fixes.
npx skills add https://github.com/tarang-tj/syllabus-ai --skill ckm-debugging
Please help me install this Agent Skill. Skill: ckm:debugging Source: https://github.com/tarang-tj/syllabus-ai/tree/main/.claude/skills/debugging Command: npx skills add https://github.com/tarang-tj/syllabus-ai --skill ckm-debugging
Systematic debugging framework that ensures root-cause investigation before fixes, preventing symptom-driven patches and wasted effort.
Begin a four-phase debugging session by gathering evidence, tracing data flow, formulating a hypothesis, and verifying results before claiming success.
High-intent search queries and answers about installing and using this skill.
Root-cause debugging enforces a four-phase process: root-cause investigation, pattern analysis, hypothesis testing, and implementation. This systematic framework traces backward call stacks to identify original triggers, ensuring you fix the actual source rather than applying symptom-driven patches.
Debug failing tests and flaky behavior through evidence-based investigation using backward call stack analysis. The framework requires gathering evidence, tracing data flow, formulating hypotheses, and verifying results before claiming success, preventing wasted effort on incomplete fixes.
A systematic debugging framework prevents wasted effort by requiring verification before completion. It enforces defense-in-depth validation across entry validation, business logic, environment guards, and debug instrumentation, ensuring fixes are real and reproducible before the debugging session concludes.
Root-cause tracing applies across projects requiring evidence-based debugging, including performance issues, failing tests, and flaky behavior. The framework uses backward call stack analysis to identify original triggers, working within any software engineering context that requires systematic verification.
The four phases of systematic software debugging are root-cause investigation, pattern analysis, hypothesis testing, and implementation. Each phase builds evidence sequentially, ensuring you trace data flow and verify results before implementing any fixes.
Avoid symptom-driven patches whenever you encounter failing tests, performance issues, or flaky behavior. Without root-cause investigation, patches mask underlying problems and create wasted effort. Use evidence-based debugging with defense-in-depth validation to ensure fixes address original triggers.
2300031147Guide systematic debugging from symptom to root cause with four phases.
cipherstashImplement four-layer validation across entry, logic, environment, and observability layers.
Hoang130203Trace errors through call stacks and validate fixes with root cause analysis.
openaeonInvestigate software bugs through a four-phase root-cause workflow with evidence gathering.
