Troubleshooting Router Skill
SkillDev toolsRoutes troubleshooting requests to vasp_errors, convergence_issues, or workflow_errors sub-skills based on the type of problem.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Troubleshooting Router Skill skill
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in server/catgo/workflow/skills/troubleshooting/SKILL.md and read by ahel’s review.
When to Use
Use this skill when the user reports a problem with a calculation or workflow. Route to the appropriate sub-skill based on the error type.
Routing Decision Tree
Step 1: Identify the error source
Ask the user or check the workflow status:
catgo_workflow_engine(action: "status", params: { workflow_id: "<wf_id>" })
If a specific task failed, get the error details:
catgo_workflow_engine(action: "get_result", params: {
workflow_id: "<wf_id>",
task_id: "<task_id>"
})
Step 2: Route based on error type
| Error signature | Route to |
|---|---|
| VASP error messages (ZBRENT, BRMIX, EDDDAV, etc.) | troubleshooting/vasp_errors |
| SCF not converging, ionic relaxation oscillating | troubleshooting/convergence_issues |
| ORCA SCF/geometry convergence | troubleshooting/convergence_issues |
| CatGo engine errors (REMOTE_ERROR, stuck tasks) | troubleshooting/workflow_errors |
| HPC connection issues (SSH, SFTP) | troubleshooting/workflow_errors |
| POTCAR not found, missing files | troubleshooting/workflow_errors |
| Test/verify cluster config before submitting; POTCAR/pseudopotential/binary/module checks; job "completed" with no output | troubleshooting/cluster_config_test |
Step 3: Gather diagnostics
Before routing, collect relevant information:
catgo_workflow_engine(action: "status", params: { workflow_id: "<wf_id>" })
For VASP/convergence issues, check the calculation output:
catgo_analyze(action: "convergence", params: {
workflow_id: "<wf_id>",
task_id: "<task_id>"
})
For system-level issues:
catgo_system(action: "status")
catgo_system(action: "errors")
Common Patterns
"My calculation failed"
- Check workflow status to identify which task failed
- Get the error message from the failed task
- Route to the appropriate sub-skill
"My calculation is taking too long"
- Check if it is still running or stuck
- If running: check convergence progress ->
convergence_issues - If stuck in READY/QUEUED: ->
workflow_errors
"My results look wrong"
- Check if the calculation converged
- Check for warnings in the output
- Often a convergence issue in disguise ->
convergence_issues
"I cannot connect to the HPC"
Direct to workflow_errors for SSH/connection troubleshooting.
MCP Tool Examples
Full diagnostic sequence
- Get workflow overview:
catgo_workflow_engine(action: "status", params: { workflow_id: "<wf_id>" })
- Get failed task details:
catgo_workflow_engine(action: "get_result", params: {
workflow_id: "<wf_id>",
task_id: "<failed_task_id>"
})
- Check convergence if applicable:
catgo_analyze(action: "convergence", params: {
workflow_id: "<wf_id>",
task_id: "<task_id>"
})
- Check system health:
catgo_system(action: "status")
- Based on findings, route to the appropriate sub-skill and apply fixes.
Quick retry after fixing parameters
catgo_workflow_engine(action: "modify_params", params: {
workflow_id: "<wf_id>",
task_id: "<task_id>",
params: { "ALGO": "All", "NELM": 200 }
})
catgo_workflow_engine(action: "retry", params: {
workflow_id: "<wf_id>",
task_id: "<task_id>"
})
Key Principle
Always diagnose before prescribing. Do not blindly suggest parameter changes
without first understanding what went wrong. Use the diagnostic tools
(status, get_result, convergence analysis) to identify the root cause,
then apply targeted fixes.
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
troubleshooting-router- Source
- github.com/hello-qm/catgo-lrg