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Tools & Automation
CLI tools, utilities, converters, workflow automation, and productivity helpers
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Showing 7,249–7,272 of 47,643 skills
- Simulation ValidatorValidate simulations across three stages — run pre-flight checks on configuration files (parameter ranges, required fields, disk space), monitor runtime logs for residual growth, NaN/Inf, and adaptive dt collapse, and perform post-flight validation of results (physical bounds, mass/energy conservation, convergence). Diagnose failed simulations with probable-cause analysis and recommended fixes. Use when preparing to launch a simulation, checking whether a running job is healthy, verifying tha...Votes: 0GitHub stars: 36
- Simulation OrchestratorOrchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job campaigns, monitor job completion status, and aggregate results with summary statistics across all runs. Use when running a parameter study across dt, kappa, or other simulation inputs, managing dozens or hundreds of simulation configurations, combining outputs from completed batch runs to find the best result, or automating the generat...Votes: 0GitHub stars: 36
- Simulation Failure TriageFirst-response triage for cross-code (LAMMPS/VASP/QE/MOOSE) simulation failures: classifies the failure signature (nonconvergence, NaN/Inf, exploding energy, unstable timestep, pressure blow-up, missing potentials/pseudopotentials, memory exhaustion, process crash/segfault, corrupted output, incomplete runs) and proposes a SAFE one-change-at-a-time RETRY LADDER with explicit STOP CONDITIONS, prioritizing evidence preservation. Use as the immediate first response to a failed or suspicious run....Votes: 0GitHub stars: 36
- SimplifyReview code for unnecessary complexity and simplify it. Use when the user wants to clean up code, reduce complexity, remove dead code, or make code more readable.Votes: 0GitHub stars: 36
- Red Hat Support SeverityHelp determine the correct severity level for a Red Hat support ticket, explain SLAs, and guide what information to include.Votes: 0GitHub stars: 36
- Image InspectFetch container image labels, validate registry ownership, resolve tag/digest via SBOM, and report the SBOM artifact reference for a Red Hat container image.Votes: 0GitHub stars: 36
- Cve ReconQuery MITRE, OSV.dev, and Go vulnerability database to produce a structured report of affected packages, ecosystems, and vulnerable version ranges for a CVE.Votes: 0GitHub stars: 36
- Pypict Claude SkillDesign comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.Votes: 0GitHub stars: 36
- ReflectMid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementa...Votes: 0GitHub stars: 36
- Post ProcessingExtract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady state, extract line profiles through the domain, generate statistical summaries and distributions, calculate derived quantities (gradients, fluxes, volume fractions, interface area), compare results against analytical solutions or experimental data, and produce automated analysis reports. Use when interpreting finished simulation results, checking ma...Votes: 0GitHub stars: 36
- Performance ProfilingIdentify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate strong and weak scaling efficiency, profile memory from mesh and field parameters, and detect bottlenecks with actionable fix suggestions. Use when a simulation is running slower than expected, investigating MPI scaling efficiency, planning HPC resource alloc...Votes: 0GitHub stars: 36
- Parameter OptimizationExplore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity scores, recommend Bayesian optimization, CMA-ES, or gradient- based methods based on dimension and budget, and fit surrogate models for expensive evaluations. Use when calibrating material properties against experimental data, planning a parameter sweep, performin...Votes: 0GitHub stars: 36
- Ontology ValidatorValidate material sample annotations against ontology constraints — check that class names and property names exist in the ontology, verify domain and range consistency for object property relationships, assess annotation completeness (required, recommended, and optional properties), and flag unknown or misspelled terms. Use when verifying that CMSO or other ontology annotations are correct before publishing, checking whether all required properties are present for a class like Crystal Struct...Votes: 0GitHub stars: 36
- Ontology MapperMap materials science terms, crystal structures, and sample descriptions to standardized ontology classes and properties — resolve natural-language concepts to ontology entries with confidence scores, translate Bravais lattice types, space groups, and lattice constants into ontology-compliant annotations, and produce full sample metadata from structured descriptions. Supports any ontology in ontology_registry.json (CMSO, ASMO, etc.). Use when annotating simulation inputs with FAIR metadata, t...Votes: 0GitHub stars: 36
- Tao Validate Dataset FormatRun `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. DoVotes: 0GitHub stars: 36
- Tao Route Visual Changenet SamplesRoutes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-moduleVotes: 0GitHub stars: 36
- Tao List CapabilitiesAnswer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".Votes: 0GitHub stars: 36
- Tao Convert Dataset FormatRun `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.Votes: 0GitHub stars: 36
- Omniverse Usd Performance TuningTop-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.Votes: 0GitHub stars: 36
- Nv Segment CtmrUsed for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.Votes: 0GitHub stars: 36
- Nv Generate Vae FinetuneUsed for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Not for clinical or production data approval.Votes: 0GitHub stars: 36
- Nv Generate MrUsed for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.Votes: 0GitHub stars: 36
- Nv Generate Mr BrainUsed for generating synthetic brain MRI volumes with NV-Generate-CTMR rflow-mr-brain. Not for production training data.Votes: 0GitHub stars: 36
- Nv Generate Mr Brain FinetuneUsed for finetuning NV-Generate-CTMR MR-brain diffusion UNet from a NIfTI datalist. Not for clinical or production data approval.Votes: 0GitHub stars: 36