debug-issue
Systematically debug issues using graph-powered code navigation
Datos de origen
- Repositorio
- nilsteampassnet/TeamPass
- Última actividad en el origen
- 17 de agosto de 2026 a las 14:34
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 1831
- Forks
- 573
Opciones de instalación
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- Debug Issue
- description
- Systematically debug issues using graph-powered code navigation
## Debug Issue
Use the knowledge graph to systematically trace and debug issues.
### Steps
1. Use `semantic_search_nodes` to find code related to the issue.
2. Use `query_graph` with `callers_of` and `callees_of` to trace call chains.
3. Use `get_flow` to see full execution paths through suspected areas.
4. Run `detect_changes` to check if recent changes caused the issue.
5. Use `get_impact_radius` on suspected files to see what else is affected.
### Tips
- Check both callers and callees to understand the full context.
- Look at affected flows to find the entry point that triggers the bug.
- Recent changes are the most common source of new issues.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.
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