CatGO Workflow Skill
SkillDev toolsCreate and manage computational chemistry workflows with CatGo. Supports VASP, CP2K, ORCA, MLP, LAMMPS. Build OER/HER/CO2RR workflows, geometry optimization, frequency analysis, Gibbs energy calculations.
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 CatGO Workflow Skill skill
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in server/catgo/workflow/SKILL.md and read by ahel’s review.
All MCP workflow operations use the single catgo_workflow tool with an action parameter.
Current Reality
Do not assume old workflow docs are still correct.
Important current behavior:
createcreates a workflow that already contains onestructure_inputnode.runstarts execution immediately. It does not open a confirmation dialog.connectdefaults both handles tostructureif omitted.node_typesis only a discovery list. It does not give full node schema.
Quick Reference
| Action | Purpose | Required Params |
|---|---|---|
list | List all workflows | — |
templates | List available templates | — |
node_types | List node types by category | category? |
create | Create workflow | name, template_id? |
get | Read workflow graph | workflow_id |
add_node | Add node | workflow_id, node_type, params? |
remove_node | Remove node | workflow_id, node_id |
connect | Connect nodes | workflow_id, from_id, to_id, from_handle?, to_handle? |
set_params | Update params | workflow_id, node_id, params |
validate | Validate graph | workflow_id |
run | Start execution immediately | workflow_id, run_config? |
pause | Pause workflow | workflow_id |
resume | Resume workflow | workflow_id, run_config? |
status | Get run status | workflow_id |
step_error | Get failure detail | workflow_id, step_id |
Safe Build Sequence
1. Discover
- Call
node_typesfirst for coarse discovery. - Call
templatesif the user wants a preset.
2. Create
{"action": "create", "name": "TiO2 slab workflow"}
Immediately after create:
- Call
get - Check the graph
- Reuse the auto-created
structure_inputunless the workflow truly needs multiple independent inputs
3. Add Nodes
{"action": "add_node", "workflow_id": "...", "node_type": "geo_opt"}
{"action": "add_node", "workflow_id": "...", "node_type": "single_point"}
4. Set Parameters
{"action": "set_params", "workflow_id": "...", "node_id": "...", "params": {"software": "vasp", "ENCUT": 520}}
5. Connect Carefully
Only omit handles when both sides are obviously single-structure nodes.
Safer form:
{
"action": "connect",
"workflow_id": "...",
"from_id": "n1",
"to_id": "n2",
"from_handle": "structure",
"to_handle": "structure"
}
Do Not Do These
- Do not assume
createreturns an empty graph. - Do not blindly add another
structure_inputaftercreate. - Do not assume
connectcan guess the right handle for multi-port nodes. - Do not treat
validatewarnings as harmless. - Do not call
runbefore the user has provided a valid run configuration when HPC settings matter.
Minimal Reliable Pattern
node_typescreategetadd_nodeset_paramsconnectwith explicit handles when neededvalidategetrun
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
workflow-hello-qm- Source
- github.com/hello-qm/catgo-lrg