materials-simulation-skills agent skills by HeshamFS
24 skills from HeshamFS/materials-simulation-skills are listed in the directory, across 2 categories. 12 skills have a full page with install steps and a pre-install summary.
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Skills in HeshamFS/materials-simulation-skills
Linked names open the skill's directory page; the rest open the skill folder on GitHub. Descriptions on rows without a page are quoted from each SKILL.md.
Performs spatial and temporal convergence analysis for numerical solutions, computing observed convergence orders, Richardson extrapolation, and Grid Convergence Index per ASME V&V 20.
Selects and applies numerical differentiation schemes for PDE and ODE discretization, including finite-difference stencils, central, upwind, compact and spectral methods.
Diagnoses HPC runtime and scheduler problems for already-submitted materials simulation jobs that failed, ran slowly, were killed, or behaved differently on a cluster.
Selects and configures linear solvers for Ax=b systems, covering direct and iterative methods, preconditioners, sparsity and conditioning analysis, and diagnosing convergence stagnation.
Selects and configures nonlinear solvers for root-finding, optimization, and least-squares problems, including Newton variants, quasi-Newton methods, globalization, and convergence rate diagnosis.
Selects and configures time integration methods for ODE and PDE simulations, including error tolerances, adaptive step-size control, and IMEX operator splitting.
Analyzes numerical stability for time-dependent PDE simulations, covering CFL and Fourier criteria, von Neumann analysis, stiffness detection, and explicit versus implicit time-stepping recommendations.
Parses, navigates, and queries materials science ontology structures, including class hierarchies, property definitions, term search, and OWL/XML summaries, currently for CMSO and ASMO.
Validates material sample annotations against ontology constraints, checking that terms exist, relationships are consistent, and required properties are present.
Explores and optimizes simulation parameters using design of experiments, sensitivity analysis, optimizer selection, and surrogate models, including parameter sweep planning.
Plan verification and validation campaigns for simulation codes using manufactured solutions, canonical benchmark problems, grid/time refinement…Get badges
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Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials…Get badges
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Extract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady…Get badges
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Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track…Get badges
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Validate simulations across three stages — run pre-flight checks on configuration files (parameter ranges, required fields, disk space), monitor…Get badges
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Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks)…Get badges
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Plan and control time-step policies for transient simulations — couple CFL and physics-based stability limits with adaptive stepping, ramp initial…Get badges
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Map computational materials tasks onto workflow engines such as atomate2, jobflow, AiiDA, pyiron, or a simple one-off script. Use when deciding how…Get badges
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