jinzhezenggroup/computational-chemistry-agent-skills/dft-abinit

Claude Code and agent skill by jinzhezenggroup/computational-chemistry-agent-skills

Trust tier 2
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Checking that the SKILL.md file is still in the repository.

Route ABINIT requests to task-specific subskills based on user intent. Use when the user asks for ABINIT workflows and you must decide between static, relaxation, molecular dynamics, or electronic-analysis preparation. This orchestration skill dispatches to the correct ABINIT subskill and enforces consistent handoff to submission skills.

Install

npx vskill@latest install jinzhezenggroup/computational-chemistry-agent-skills/dft-abinit

SKILL.md

ABINIT Task Router

Use this skill as the top-level ABINIT orchestration layer.

Purpose

This skill routes requests to one task-specific ABINIT subskill path:

  • dft-abinit/static
  • dft-abinit/relax
  • dft-abinit/md
  • dft-abinit/electronic

Scope

This router skill should:

  • require user-provided structure or prerequisite context
  • classify request intent into one ABINIT task type
  • collect minimal shared context before dispatch
  • delegate detailed parameter handling to selected subskill
  • enforce consistent output/handoff policy across subskills

This router skill should not:

  • own detailed templates for all ABINIT tasks
  • execute or submit calculations
  • bypass subskill-specific guardrails

Hard requirement

The user must provide enough starting context:

  • structure input for static / relax / md
  • prerequisite converged context for electronic

If prerequisites are missing, stop and ask for them.

Routing rules

  1. If user requests single-point SCF/energy: route to dft-abinit/static.
  2. If user requests geometry optimization: route to dft-abinit/relax.
  3. If user requests molecular dynamics: route to dft-abinit/md.
  4. If user requests electronic analysis workflow: route to dft-abinit/electronic.
  5. If intent is ambiguous, ask one focused clarification question before routing.

Shared policy for all subskills

  • do not invent missing pseudopotential files
  • expose assumptions and unresolved scientific choices explicitly
  • return handoff-ready task layout
  • if execution is requested, hand off to dpdisp-submit

Output from router

Provide:

  1. selected subskill path
  2. why it was selected
  3. minimal missing inputs (if any)
  4. explicit next step (invoke selected subskill)

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
118
Repository forks
24
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 Oct 2026, 11 days ago.

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