gstack-investigate
Systematic root-cause debugging for OPC work. Use when there is a bug, crash, regression, failing command, flaky behavior, provider issue, or unexplained output. Requires evidence before fixes.
Quellinformationen
- Repository
- LING71671/Open-ClaudeCode
- Letzte Quellaktivität
- 8. Juni 2026 um 18:43
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 961
- Forks
- 1.217
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- gstack-investigate
- description
- Systematic root-cause debugging for OPC work. Use when there is a bug, crash, regression, failing command, flaky behavior, provider issue, or unexplained output. Requires evidence before fixes.
- allowed-tools
- ["Read","Grep","Glob","Bash","Edit","Write"]
# gstack-investigate
Use this skill to diagnose before fixing.
## Workflow
1. State the observed symptom and the expected behavior.
2. Reproduce the issue with the smallest command, UI flow, fixture, or log slice available.
3. Trace the relevant path through the code before proposing a fix.
4. Form at least three plausible causes.
5. Test the causes with targeted checks, logs, assertions, or isolated commands.
6. Pick the cause with the strongest evidence.
7. Apply the smallest fix that addresses that cause.
8. Re-run the original reproduction and one nearby regression check.
## Rules
- Do not fix before reproduction or strong evidence.
- If one attempted fix fails, record why and try a different strategy.
- Prefer direct runtime evidence: command output, logs, API responses, persisted state, or failing tests.
- Keep unrelated refactors out of the fix.
## Output
Report:
- Symptom
- Root cause
- Fix
- Verification command or manual check
- Residual risk
Auf GitHub ansehen