ABINIT Static (Subskill)

SkillProductivity

Prepare CP2K single-point (static) task inputs from a user-provided structure and essential DFT settings. Use when the user needs total-energy/electronic SCF evaluation with explicit CP2K basis/potential and SCF 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 Static (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/static/SKILL.md and read by ahel’s review.

Scope

This skill prepares static tasks only.

It should generate:

  • ABINIT input for static SCF
  • pseudopotential mapping summary
  • output/restart naming policy

It should not submit or execute jobs.

Must provide

  • structure input
  • XC functional choice
  • cutoff and k-point policy
  • SCF convergence policy

Usually should be explicit

  • charge/spin setup
  • smearing/occupancy policy for metallic systems
  • mixing/iteration controls

Expected output

  1. static-task input layout
  2. settings summary and assumptions
  3. unresolved choices for confirmation
  4. 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
static
Source
github.com/jinzhezenggroup/computational-chemistry-agent-skills