jinzhezenggroup/computational-chemistry-agent-skills/dft-abinit
Claude Code and agent skill by jinzhezenggroup/computational-chemistry-agent-skills
- community
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-abinitSKILL.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/staticdft-abinit/relaxdft-abinit/mddft-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
- If user requests single-point SCF/energy: route to
dft-abinit/static. - If user requests geometry optimization: route to
dft-abinit/relax. - If user requests molecular dynamics: route to
dft-abinit/md. - If user requests electronic analysis workflow: route to
dft-abinit/electronic. - 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:
- selected subskill path
- why it was selected
- minimal missing inputs (if any)
- 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
- SKILL.md in the repositoryCheckingquantum-chemistry/dft-abinit/SKILL.md
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.
Works with
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Embed badge
[](https://verified-skill.com/skills/jinzhezenggroup/computational-chemistry-agent-skills/dft-abinit)