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CatGo Workflow Skill

SkillDev tools

Create 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.

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.

Quick Start — Python API

from catgo.workflow import Workflow
from catgo.workflow.builtins import geo_opt, freq, gibbs_energy

wf = Workflow("RuO2 OER")

# Input structure
slab = wf.add_task("structure_input", structure=structure_json)

# Geometry optimization → Frequency → Gibbs Energy
opt = wf.add_task(geo_opt, structure=slab.output.structure, ENCUT=520, system_name="*OH")
frq = wf.add_task(freq, structure=opt.output.structure, system_name="*OH",
                   freeze_mode="layers", freeze_layers=4)
gib = wf.add_task(gibbs_energy, energy=opt.output.energy,
                   frequencies=frq.output.frequencies, system_name="*OH")

wf.submit()  # Engine picks it up automatically

HPC Confirmation Gate: By default, HPC tasks pause at PENDING_REVIEW after local preprocessing completes, so users can verify structures and parameters before spending HPC resources. Users confirm via the frontend "Confirm & Submit" button (per-task or "Confirm All"). To skip this gate, call wf.submit(auto_submit=True).

HPC Confirmation Required: Before calling wf.submit() or catgo_workflow_engine(action="submit"), you MUST ask the user which HPC cluster to use and confirm job parameters (partition, account, walltime, ntasks). These can be set per-task via add_task params. Never submit without user confirmation.

Available Task Types

HPC Calculations

  • geo_opt — Geometry optimization (VASP/CP2K/ORCA/MLP)
  • single_point — Single point energy (VASP/CP2K/ORCA)
  • freq — Vibrational frequencies (VASP/CP2K/ORCA)
  • cell_opt — Cell optimization (VASP/CP2K)
  • md — Molecular dynamics (VASP/CP2K/LAMMPS/MLP)
  • ts_search — Transition state search (Sella/ORCA NEB-TS)

Local Analysis

  • gibbs_energy — G = E_DFT + ZPE - TS
  • free_energy_diagram — Plot reaction energy diagram
  • dos_analysis — Density of states analysis
  • charge_analysis — Bader charge analysis

Structure Building

  • structure_input — Provide input structure
  • slab_gen — Generate surface slab
  • adsorbate_place — Place adsorbate on surface

Key Parameters

VASP

  • software="vasp", ENCUT, EDIFF, EDIFFG, NSW, ISIF, IBRION
  • ISMEAR, SIGMA, ISPIN, NCORE, KPAR

Frequency

  • freeze_mode: "none", "layers", "z_range", "element", "indices", "manual"
  • freeze_layers: number of bottom layers to freeze
  • freeze_z_below: freeze atoms below this z coordinate (Angstrom)

Gibbs Energy

  • phase: "adsorbed" (harmonic) or "gas" (ideal gas)
  • temperature: K (default 298.15)
  • freq_cutoff: cm-1 (default 50, for adsorbed phase)

Output References

Connect tasks by passing .output.key:

opt.output.structure   # optimized structure
opt.output.energy      # DFT energy (eV)
frq.output.frequencies # vibrational frequencies
frq.output.zpe         # zero-point energy
gib.output.gibbs       # Gibbs free energy

Workflow Patterns

OER Overpotential

for ads in ["OH", "O", "OOH"]:
    opt = wf.add_task(geo_opt, structure=slab.output.structure,
                      system_name=f"*{ads}")
    frq = wf.add_task(freq, structure=opt.output.structure,
                      freeze_mode="layers", freeze_layers=4)
    gib = wf.add_task(gibbs_energy, energy=opt.output.energy,
                      frequencies=frq.output.frequencies, phase="adsorbed")

Convergence Test

for encut in [400, 500, 600, 700]:
    wf.add_task(single_point, structure=struct.output.structure,
                ENCUT=encut, system_name=f"ENCUT={encut}")

Signals

GitHub stars
198
Forks
23
Last commit
Sep 2026

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Advanced
Catalog kind
skill
Gateway key
workflow-hello-qm
Source
github.com/hello-qm/catgo-lrg