hpc-calculixBuild, review, debug, and automate CalculiX finite-element workflows. Use when working with CalculiX `.inp` decks, Abaqus-style keywords, materials, steps, c...
Install via ClawdBot CLI:
clawdbot install fzj1214/hpc-calculixGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Oct 4, 2026
An aerospace engineer uses the Hpc Calculix skill to build and validate static .inp decks for bracket assemblies under launch loads. The skill guides material/section coherence, step sequencing, and boundary condition verification so that edge-of-envelope results are trustworthy. Post-processing scripts summarize expected .dat and .frd outputs for certification packages.
An NVH engineer at an automotive OEM uses frequency_minimal.inp templates and the skill's result-files guidance to compute natural frequencies of body panels. The skill helps resolve mesh and boundary issues that typically cause spurious modes. Eigenmode artifacts are then routed to downstream acoustic simulations.
A consumer-electronics thermal engineer leverages thermal-and-coupled-procedures references to set up heat transfer and coupled thermal-structural analyses on enclosures. The skill ensures loads and boundary conditions match the active step type, avoiding silent solver misbehavior. Output summaries include temperature contours and thermal stress fields.
An HPC simulation engineer uses the cluster-execution-playbook and calculix-ccx-slurm.sh template to stage dozens of parametric CalculiX decks on a Slurm cluster. The skill enforces consistent set and section naming across decks, enabling reliable batch post-processing. Result artifacts are collated into a design-of-experiments database.
A civil/structural analyst uses error-recovery and error-pattern-dictionary references to debug non-converging or singular CalculiX decks for bridges and foundations. The skill maps error signatures to common causes like insufficient constraints or procedure mismatches. Fixes are applied while preserving keyword compatibility and set integrity.
A cloud platform integrates the Hpc Calculix skill as an AI copilot for CalculiX users, offering guided deck creation, automated error diagnosis, and cluster job submission. Customers pay a monthly per-seat or usage-based subscription. The skill's reference-driven guardrails reduce support tickets and onboarding time.
An engineering consultancy uses the skill internally to audit client CalculiX decks, optimize solver setups, and deliver validated simulation reports. The structured outputs (analysis type, step sequence, expected result files) standardize deliverables. Clients pay project-based or retainer fees for high-confidence FEA.
A marketplace sells pre-built CalculiX .inp templates, Slurm execution scripts, and validation checklists generated or vetted with the Hpc Calculix skill. Engineering teams buy domain-specific packs (e.g., aerospace brackets, automotive NVH) to accelerate their own simulations. Revenue comes from one-time purchases and enterprise licenses.
💬 Integration Tip
Integrate the skill by loading only the reference files needed for the current deck-editing or debugging task; always validate step-type and set consistency before submitting solver jobs.
Scored Sep 13, 2026
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