ABINIT Relax (Subskill)

SkillProductivity

Prepare CP2K geometry-relaxation task inputs from a user-provided structure and optimization settings. Use when the user needs ion-only or cell-coupled optimization with explicit optimizer and convergence controls.

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 ABINIT Relax (Subskill) skill

What this skill tells your AI

The instructions your AI receives, as published by jinzhezenggroup/computational-chemistry-agent-skills in quantum-chemistry/dft-cp2k/relax/SKILL.md and read by ahel’s review.

Scope

This skill prepares relaxation tasks only.

It should generate:

  • relaxation-capable ABINIT input
  • force/stress convergence controls
  • constraint policy when relevant

It should not submit or execute jobs.

Relax intent is mandatory

Before preparing inputs, classify intent:

  • ion-only relaxation
  • cell+ion relaxation
  • constrained relaxation (for example slab constraints)

If intent is ambiguous, ask for clarification.

Must provide

  • structure input
  • pseudopotential set choice
  • optimization and convergence thresholds
  • stress/cell relaxation policy when applicable

Usually should be explicit

  • fixed atom/layer constraints
  • charge/spin setup
  • cutoff/k-point/scf policy

Expected output

  1. relaxation-task input layout
  2. explicit relaxation-policy rationale
  3. settings summary and assumptions
  4. unresolved choices for confirmation
  5. handoff note to dpdisp-submit if execution is requested

Signals

GitHub stars
138
Forks
26
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
relax
Source
github.com/jinzhezenggroup/computational-chemistry-agent-skills