debugging
/debugging
Systematic debugging methodologies for hard bugs. Covers rubber ducking, code tracing, hypothesis testing, logging strategies. Use when stuck on bugs that resist quick fixes.
- Author
- CaptainCrouton89 ↗
- Repository
- crouton-kit ↗
- Licence
- GPL-3.0
- Last repository change
- 02.10.2026
Assessment and security
- Files in this package
- 2
- Scripts
- 0
- HTML comments
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- URLs in SKILL.md
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No signals detected. Repository changed on 02.10.2026, without references to retired models or APIs.
GPL-3.0, otwarta.
What it does and when to use it
Systematic debugging methodologies for hard bugs. Covers rubber ducking, code tracing, hypothesis testing, logging strategies. Use when stuck on bugs that resist quick fixes.
Original author description
Systematic debugging methodologies for hard bugs. Covers rubber ducking, code tracing, hypothesis testing, logging strategies. Use when stuck on bugs that resist quick fixes.
How it works
- Rubber Ducking
- Code Flow Tracing
- Hypothesis Testing
- Logging
- Agent Investigation
- Before Fixing
- Related
SKILL.md preview
--- name: debugging description: Systematic debugging methodologies for hard bugs. Covers rubber ducking, code tracing, hypothesis testing, logging strategies. Use when stuck on bugs that resist quick fixes. user-invocable: true --- # Debugging Hard Bugs ## Rubber Ducking Quote code snippets and explain what each chunk *should* do vs *actually* does. Don't assume—verbalize the logic. Discrepancies reveal bugs. ## Code Flow Tracing Trace data from entry point to failure. At each transformation: what goes in, what comes out? Mark where expectations diverge. **Failure-prone boundaries:** async, serialization, type coercion, null propagation, state mutations. ## Hypothesis Testing 1. List 3-5 possible causes 2. List 3-5 assumptions you're making 3. Test to eliminate possibilities 4. Repeat until one remains **Don't** change code hoping it helps—that creates noise. ## Logging Log at decision points and async boundaries, not everywhere. **Workflow:** 1. Add targeted logs 2. Have user perform action and report output 3. Diagnose and fix 4. **After user confirms fix works:** remove all added logging ## Agent Investigation For complex/unfamiliar code sections acting as a blackbox: - Spawn an Explore agent to trace a specific code path and report back - Run agents in background while continuing other investigation **When stuck:** Spawn 2-3 senior-advisor agents in parallel with different perspectives (pragmatist, architect, skeptic). **Avoid biasing agents:** Pass them relevant file paths and the observed behavior, but *not* your hypotheses or assumptions. Let them form independent conclusions. ## Before Fixing - [ ] Identified exact failing line(s)? - [ ] Understand *why* it fails? If no, keep investigating. ## Related - [Frontend Debugging](./frontend.md)
Files in this package (2)
- SKILL.md 2 KB
- frontend.md 1 KB
Versions
| Repository | Score | Licence |
|---|---|---|
| This page · CaptainCrouton89/crouton-kit | 90 | GPL-3.0 |
| sentimony/skills | 100 | MIT |
| sentimony/skills | 100 | MIT |
| wrongstack/wrongstack | 100 | MIT |
| dxos/dxos | 100 | Apache-2.0 |
| iliaal/ai-skills | 100 | MIT |
| t8jwscc7qy-sketch/foma-skills | 100 | Apache-2.0 |
| arxdsilva/ai-loops | 100 | MIT |
| zts212653/clowder-ai | 100 | MIT |
Identical content appears in 1 other GitHub folders. We show one copy with the highest score.
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