Skills

python/simulation/skills/automs.yaml

{
  "id": "automs",
  "source": "python/simulation/skills/automs.yaml",
  "label": "AUTOMS",
  "name": null,
  "description": "Split-ring reflective unit cell at 60 GHz (57-65 GHz) on paper+PVC substrate with aluminum foil patterns.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/automs_77ghz.yaml

{
  "id": "automs_77ghz",
  "source": "python/simulation/skills/automs_77ghz.yaml",
  "label": "AutoMS 77 GHz",
  "name": null,
  "description": "LLM-driven automated inverse design for reflective metasurfaces at 77 GHz. Closest external paper to MetaClaw's core paper-to-geometry-to-solve pipeline. Rogers RT/duroid 5880 resonator unit cell with iterative geometry generation.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/capacitive_touch_sensor.yaml

{
  "id": "capacitive_touch_sensor",
  "source": "python/simulation/skills/capacitive_touch_sensor.yaml",
  "label": "Capacitive Touch Sensor",
  "name": null,
  "description": "LLM-to-HFSS PyAEDT prompt generator for a 3D-printed capacitive touch sensor button.",
  "engine": "llm_hfss",
  "implemented": true,
  "ui_enabled": true,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/cgmm_60ghz.yaml

{
  "id": "cgmm_60ghz",
  "source": "python/simulation/skills/cgmm_60ghz.yaml",
  "label": "CGMM 60 GHz",
  "name": null,
  "description": "Passive transmissive metasurface at 60 GHz for contactless gesture and motion sensing. Rogers RO4003C patch unit cell mounted on ceiling. Uses simulation-generated training data for cross-environment transfer. MetaClaw bridges coverage simulation to sensing data pipeline.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/comsol_canonical_farfield.yaml

The canonical IR is complete and hash-bound, but capability assessment must reject project generation until the COMSOL 6.2 PML/far-field integration boundary and angular exporter are independently retained and verified. No near-field fallback is allowed.

{
  "id": "comsol_canonical_farfield",
  "source": "python/simulation/skills/comsol_canonical_farfield.yaml",
  "label": "COMSOL canonical far-field contract",
  "name": null,
  "description": "Construct the solver-neutral COMSOL far-field request while retaining an explicit blocker until the version-pinned PML/integration-boundary and angular export contract is proven.",
  "engine": "comsol",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "canonical_ir_blocked",
  "verification_scope": "trusted_canonical_construction_only_project_generation_intentionally_blocked_by_unproven_comsol_6_2_far_field_domain_contract",
  "notes": "The canonical IR is complete and hash-bound, but capability assessment must reject project generation until the COMSOL 6.2 PML/far-field integration boundary and angular exporter are independently retained and verified. No near-field fallback is allowed.",
  "tags": null
}

python/simulation/skills/comsol_canonical_nearfield.yaml

Use through the canonical control-plane DAG. Named parameters, geometry, scalar dielectric material, plane wave, exterior radiation selection, mesh, study, and monitor are deterministic. Java source creation is not MPH creation or a solver run.

{
  "id": "comsol_canonical_nearfield",
  "source": "python/simulation/skills/comsol_canonical_nearfield.yaml",
  "label": "COMSOL canonical near-field source",
  "name": null,
  "description": "Compile a parameterized vacuum/dielectric scattering case with a versioned exterior-face selection and emit COMSOL 6.2 Java source for an explicit complex E/H Cartesian grid.",
  "engine": "comsol",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "production_preflight",
  "verification_scope": "trusted_canonical_compiler_exact_projector_comsol_6_2_compile_only_source_and_selection_readback_contract_no_desktop_launch_or_scientific_validation",
  "notes": "Use through the canonical control-plane DAG. Named parameters, geometry, scalar dielectric material, plane wave, exterior radiation selection, mesh, study, and monitor are deterministic. Java source creation is not MPH creation or a solver run.",
  "tags": null
}

python/simulation/skills/comsol_farfield.yaml

This profile is intentionally no-launch and hidden from the WebUI until a version-matched COMSOL 6.2 angular far-field exporter and readback verifier are recorded, packaged, and tested. It validates the canonical geometry/material/source/study/output binding and emits a deterministic lowering plan only. It must never fall back to the near-field mesh-vertex Interp exporter, because far-field realized gain is an angular operator result, not a field on physical mesh vertices.

{
  "id": "comsol_farfield",
  "source": "python/simulation/skills/comsol_farfield.yaml",
  "label": "COMSOL RF far-field realized-gain preflight",
  "name": null,
  "description": "Validate a reviewed COMSOL 6.2 RF MPH binding for an explicit angular realized-gain CSV contract without launching COMSOL.",
  "engine": "comsol",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "no_launch_preflight_contract",
  "verification_scope": "canonical_profile_and_deterministic_lowering_plan_only_no_comsol_process_or_angular_result_parser",
  "notes": "This profile is intentionally no-launch and hidden from the WebUI until a version-matched COMSOL 6.2 angular far-field exporter and readback verifier are recorded, packaged, and tested. It validates the canonical geometry/material/source/study/output binding and emits a deterministic lowering plan only. It must never fall back to the near-field mesh-vertex Interp exporter, because far-field realized gain is an angular operator result, not a field on physical mesh vertices.",
  "tags": null
}

python/simulation/skills/comsol_multiphysics.yaml

Requires problem_json_path=<absolute problem JSON> and template_path=<reviewed MPH>. Process completion, requested-parameter persistence, finite output schema, and explicit license evidence are reported separately; scientific result semantics require independent template certification.

{
  "id": "comsol_multiphysics",
  "source": "python/simulation/skills/comsol_multiphysics.yaml",
  "label": "COMSOL reviewed multiphysics model",
  "name": null,
  "description": "Run a validated MetaClaw multiphysics problem against a reviewed COMSOL MPH template.",
  "engine": "comsol",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "experimental",
  "verification_scope": "solver_log_parameter_binding_and_output_schema_evidence",
  "notes": "Requires problem_json_path=<absolute problem JSON> and template_path=<reviewed MPH>. Process completion, requested-parameter persistence, finite output schema, and explicit license evidence are reported separately; scientific result semantics require independent template certification.",
  "tags": null
}

python/simulation/skills/comsol_nearfield.yaml

Requires template_path=<absolute reviewed MPH>. The template must contain the reviewed RF source and parameters named frequency and input_power. Export defaults require component_tag=comp1, mesh_tag=mesh1, dataset_tag=dset1, and RF interface tag emw; pass reviewed tag overrides at the run boundary and set comsol_interface_tag on both requested vector fields when the RF interface differs. The exporter evaluates every configured component-mesh vertex, not a named domain selection. Derived E/H values are maxima over finite, complete sampled complex-vector phasors, not continuous-domain extrema or a convergence/accuracy proof. Coordinate and field unit labels come from the reviewed problem contract and are not independently attested by the current exporter, so the template binding must certify SI meters, V/m, and A/m. The runner reports evidence-only until the MPH/profile binding is independently certified.

{
  "id": "comsol_nearfield",
  "source": "python/simulation/skills/comsol_nearfield.yaml",
  "label": "COMSOL RF near-field probe",
  "name": null,
  "description": "Run a reviewed RF-domain MPH template and export complex electric and magnetic phasors at every vertex of its configured component mesh.",
  "engine": "comsol",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "evidence_foundation",
  "verification_scope": "hash_bound_template_batch_completion_and_parsed_mesh_vertex_complex_field_evidence_only",
  "notes": "Requires template_path=<absolute reviewed MPH>. The template must contain the reviewed RF source and parameters named frequency and input_power. Export defaults require component_tag=comp1, mesh_tag=mesh1, dataset_tag=dset1, and RF interface tag emw; pass reviewed tag overrides at the run boundary and set comsol_interface_tag on both requested vector fields when the RF interface differs. The exporter evaluates every configured component-mesh vertex, not a named domain selection. Derived E/H values are maxima over finite, complete sampled complex-vector phasors, not continuous-domain extrema or a convergence/accuracy proof. Coordinate and field unit labels come from the reviewed problem contract and are not independently attested by the current exporter, so the template binding must certify SI meters, V/m, and A/m. The runner reports evidence-only until the MPH/profile binding is independently certified.",
  "tags": null
}

python/simulation/skills/gpms_60ghz.yaml

{
  "id": "gpms_60ghz",
  "source": "python/simulation/skills/gpms_60ghz.yaml",
  "label": "GPMS 60 GHz",
  "name": null,
  "description": "4-state reconfigurable reflective RIS at 60 GHz for WiGig coverage management. Rogers RO4003C patch unit cell in a generalized software-managed RIS deployment framework. MetaClaw enables scene-level deployment via twin_ir.py and unified phase API.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/harp_passive.yaml

The harp_case parameter must be a complete metahz.harp-case/1 mapping admitted by the restricted runtime lane. This profile does not select a canonical RFIC geometry, repair an active-device boundary, or launch ADO. Generic running-job cancellation policy is unchanged; retained worker checkpoints use the separate CLI resume path.

{
  "id": "harp_passive",
  "source": "python/simulation/skills/harp_passive.yaml",
  "label": "MetaHz HARP passive native evidence",
  "name": null,
  "description": "Execute a bounded inline discrete passive HARP case in an isolated owned worker using the source checkout's admitted shared resource plan. Retain native fields and numerical evidence without physical RFIC acceptance.",
  "engine": "harp_v1",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "native_evidence_only",
  "verification_scope": "bounded_source_runtime_atomic_dispatch_no_physical_rfic_claim",
  "notes": "The harp_case parameter must be a complete metahz.harp-case/1 mapping admitted by the restricted runtime lane. This profile does not select a canonical RFIC geometry, repair an active-device boundary, or launch ADO. Generic running-job cancellation policy is unchanged; retained worker checkpoints use the separate CLI resume path.",
  "tags": null
}

python/simulation/skills/hfss_canonical_farfield.yaml

Use through the canonical control-plane DAG. The compiler fixes source normalization and angular semantics; project generation remains no-launch source emission. Native AEDT execution and result certification are separate gates.

{
  "id": "hfss_canonical_farfield",
  "source": "python/simulation/skills/hfss_canonical_farfield.yaml",
  "label": "HFSS canonical far-field source",
  "name": null,
  "description": "Compile a reviewed solver-neutral dielectric scattering case and emit hash-bound PyAEDT source for a total realized-gain angular pattern.",
  "engine": "hfss",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "production_preflight",
  "verification_scope": "trusted_canonical_compiler_exact_projector_and_inert_pyaedt_source_only_no_aedt_launch_or_scientific_validation",
  "notes": "Use through the canonical control-plane DAG. The compiler fixes source normalization and angular semantics; project generation remains no-launch source emission. Native AEDT execution and result certification are separate gates.",
  "tags": null
}

python/simulation/skills/hfss_canonical_nearfield.yaml

Use through the canonical control-plane DAG. Free-form text selects this compiler but cannot author geometry, materials, paths, code, mesh policy, or launch authorization. Project generation emits inert source only; AEDT materialization, solve, convergence, and field correctness remain separately gated.

{
  "id": "hfss_canonical_nearfield",
  "source": "python/simulation/skills/hfss_canonical_nearfield.yaml",
  "label": "HFSS canonical near-field source",
  "name": null,
  "description": "Compile a reviewed solver-neutral dielectric scattering case and emit hash-bound PyAEDT source for an explicit Cartesian E-field grid.",
  "engine": "hfss",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "production_preflight",
  "verification_scope": "trusted_canonical_compiler_exact_projector_and_inert_pyaedt_source_only_no_aedt_launch_or_scientific_validation",
  "notes": "Use through the canonical control-plane DAG. Free-form text selects this compiler but cannot author geometry, materials, paths, code, mesh policy, or launch authorization. Project generation emits inert source only; AEDT materialization, solve, convergence, and field correctness remain separately gated.",
  "tags": null
}

python/simulation/skills/hfss_far_field_realized_gain.yaml

The profile binds exact geometry, materials, Floquet source mode, periodic/radiation context, setup frequency, infinite sphere, angle grid, report expression, and output filename. Default use is no-launch preflight. RealizedGainTotal is source-normalized and is not interchangeable with GainTotal, DirectivityTotal, or a field magnitude. A live claim still requires the exact runtime/license/ownership gates plus independent source normalization, convergence, CSV semantics, and scientific validation.

{
  "id": "hfss_far_field_realized_gain",
  "source": "python/simulation/skills/hfss_far_field_realized_gain.yaml",
  "label": "HFSS Far Field - Realized Gain Pattern",
  "name": null,
  "description": "Translate and preflight a bundled 5.8 GHz periodic patch case with an exact source-mode RealizedGainTotal radiation-pattern CSV contract.",
  "engine": "hfss_simir",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "production",
  "verification_scope": "schema_adapter_and_generated_runner_preflight_only_live_solver_convergence_gain_normalization_and_result_semantics_unverified",
  "notes": "The profile binds exact geometry, materials, Floquet source mode, periodic/radiation context, setup frequency, infinite sphere, angle grid, report expression, and output filename. Default use is no-launch preflight. RealizedGainTotal is source-normalized and is not interchangeable with GainTotal, DirectivityTotal, or a field magnitude. A live claim still requires the exact runtime/license/ownership gates plus independent source normalization, convergence, CSV semantics, and scientific validation.",
  "tags": null
}

python/simulation/skills/hfss_near_field_explicit_grid.yaml

Selecting this skill prefills the bundled SimIR path and remains preflight-only unless allow_launch=true is explicitly set. A live attempt must pass the exact runtime and transport contract plus a fresh, input/runner-bound checkout of both required license features before AEDT construction. Translation or API completion is not evidence of field correctness; convergence and the exported field semantics still require independent review.

{
  "id": "hfss_near_field_explicit_grid",
  "source": "python/simulation/skills/hfss_near_field_explicit_grid.yaml",
  "label": "HFSS Near Field - Explicit Cartesian Grid",
  "name": null,
  "description": "Translate and preflight a bundled 5.8 GHz dielectric-block case that exports phase-independent full-vector |E| as ComplexMag_E on an exact 41 x 31 x 21 Cartesian grid.",
  "engine": "hfss_simir",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "production",
  "verification_scope": "schema_adapter_and_generated_runner_preflight_only_live_solver_convergence_and_result_semantics_unverified",
  "notes": "Selecting this skill prefills the bundled SimIR path and remains preflight-only unless allow_launch=true is explicitly set. A live attempt must pass the exact runtime and transport contract plus a fresh, input/runner-bound checkout of both required license features before AEDT construction. Translation or API completion is not evidence of field correctness; convergence and the exported field semantics still require independent review.",
  "tags": null
}

python/simulation/skills/hfss_simir.yaml

Requires simir_path=<absolute .json path>. Preflight is the default; allow_launch=true is required for a live attempt. If generated-runner preflight reports mesh-policy recommendations, allow_mesh_policy_warnings=true also requires a bounded mesh_policy_review_note that is hash-bound in the live report. PyAEDT API completion, the external dual-feature license gate, and artifact hashes are retained, while convergence, solver certification, and result semantics remain independently unverified.

{
  "id": "hfss_simir",
  "source": "python/simulation/skills/hfss_simir.yaml",
  "label": "HFSS validated SimIR runner",
  "name": null,
  "description": "Translate a caller-supplied SimIR document and run the generated PyAEDT preflight before any explicitly authorized HFSS solve.",
  "engine": "hfss_simir",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "experimental",
  "verification_scope": "runtime_and_artifact_evidence_not_solver_certification",
  "notes": "Requires simir_path=<absolute .json path>. Preflight is the default; allow_launch=true is required for a live attempt. If generated-runner preflight reports mesh-policy recommendations, allow_mesh_policy_warnings=true also requires a bounded mesh_policy_review_note that is hash-bound in the live report. PyAEDT API completion, the external dual-feature license gate, and artifact hashes are retained, while convergence, solver certification, and result semantics remain independently unverified.",
  "tags": null
}

python/simulation/skills/ibegtodiffract.yaml

{
  "id": "ibegtodiffract",
  "source": "python/simulation/skills/ibegtodiffract.yaml",
  "label": "I Beg to Diffract",
  "name": null,
  "description": "Edge-diffraction lattice of thin rectangular metal plates for multi-point focusing at 5.18 GHz WiFi.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/laia.yaml

{
  "id": "laia",
  "source": "python/simulation/skills/laia.yaml",
  "label": "LAIA",
  "name": null,
  "description": "Large array of inexpensive antenna relay elements with programmable phase shifters for WiFi channel optimization.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/lava.yaml

{
  "id": "lava",
  "source": "python/simulation/skills/lava.yaml",
  "label": "LAVA",
  "name": null,
  "description": "Large array of vanilla amplifiers with directional patch antennas for multi-hop amplify-and-forward indoor coverage.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/llama.yaml

{
  "id": "llama",
  "source": "python/simulation/skills/llama.yaml",
  "label": "LLAMA",
  "name": null,
  "description": "4-layer QWP-BFS polarization rotator metasurface at 2.4 GHz using meander-line microstrip patterns on FR4.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/metabioliq_60ghz.yaml

{
  "id": "metabioliq_60ghz",
  "source": "python/simulation/skills/metabioliq_60ghz.yaml",
  "label": "MetaBioliQ 60 GHz",
  "name": null,
  "description": "Transfer-matrix optimization for the MetaBioliQ sweat sensing stack at 60 GHz.",
  "engine": "tmm",
  "implemented": true,
  "ui_enabled": true,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/metagen_77ghz.yaml

{
  "id": "metagen_77ghz",
  "source": "python/simulation/skills/metagen_77ghz.yaml",
  "label": "MetaGen 77 GHz",
  "name": null,
  "description": "Diffusion-model-generated manufacturable metasurface patterns at 77 GHz, conditioned on target S-parameter profiles. Rogers RT/duroid 5880 substrate. MetaClaw closes the loop: diffusion-generated geometry feeds directly into simulation, then fabrication and measurement.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/metasight.yaml

{
  "id": "metasight",
  "source": "python/simulation/skills/metasight.yaml",
  "label": "MetaSight",
  "name": null,
  "description": "3D-printed HP 3D HR PA 12 dielectric cuboid reflective metasurface for 77 GHz automotive radar beamforming.",
  "engine": "hfss",
  "implemented": true,
  "ui_enabled": true,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/millimirror.yaml

{
  "id": "millimirror",
  "source": "python/simulation/skills/millimirror.yaml",
  "label": "MilliMirror",
  "name": null,
  "description": "Metal-backed 3D-printed dielectric cuboid reflective metasurface at 60 GHz (57-71 GHz WiGig band).",
  "engine": "hfss",
  "implemented": true,
  "ui_enabled": true,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/mmwall.yaml

{
  "id": "mmwall",
  "source": "python/simulation/skills/mmwall.yaml",
  "label": "mmWall",
  "name": null,
  "description": "Huygens metasurface with co-located magnetic (1-gap ring) and electric (2-gap ring + center strip) circular meta-atoms on Rogers 4003C at 24.5 GHz.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/nrsurface.yaml

{
  "id": "nrsurface",
  "source": "python/simulation/skills/nrsurface.yaml",
  "label": "NR-Surface",
  "name": null,
  "description": "NR-compliant real-time reconfigurable varactor-based reflective metasurface at 24 GHz on Rogers RO4003C for 5G beam management.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/nuhertz_filtersolutions.yaml

Planned (non-launchable) by executable reality, not by intent: FilterSolutions 2024 R2 ships no FilterSolutionsAPI.dll (that DLL first ships with AEDT 2025 R1, and pyaedt's filtersolutions_core/dll_interface.py hard-gates below 2025 R1), exposes no COM server (its ProgIDs are .ftr file associations without CLSIDs), and has no CLI (GUI-subsystem binary). This engine key therefore only validates and retains design specs. For .ftr design-entry file generation and the documented human GUI export path, use the repo skill skills/ansys-nuhertz-filtersolutions (scripts/nuhertz_case.py write-ftr). For executable filter synthesis use python/simulation/filterlib. Status may be promoted only after an AEDT 2025 R1+ install passes that skill's preflight.

{
  "id": "nuhertz_filtersolutions",
  "source": "python/simulation/skills/nuhertz_filtersolutions.yaml",
  "label": "Ansys Nuhertz FilterSolutions lumped filter design entry",
  "name": null,
  "description": "Validates a lumped filter design specification and retains it as a design-entry artifact for Ansys Nuhertz FilterSolutions 2024 R2. Headless FilterSolutions execution is impossible on this release, so solve always fails closed with a structured error; no synthesis, response, or export result is ever claimed.",
  "engine": "nuhertz_filtersolutions",
  "implemented": false,
  "ui_enabled": false,
  "maturity": "design_entry_only",
  "verification_scope": "design_spec_validation_and_ftr_design_entry_only",
  "notes": "Planned (non-launchable) by executable reality, not by intent: FilterSolutions 2024 R2 ships no FilterSolutionsAPI.dll (that DLL first ships with AEDT 2025 R1, and pyaedt's filtersolutions_core/dll_interface.py hard-gates below 2025 R1), exposes no COM server (its ProgIDs are .ftr file associations without CLSIDs), and has no CLI (GUI-subsystem binary). This engine key therefore only validates and retains design specs. For .ftr design-entry file generation and the documented human GUI export path, use the repo skill skills/ansys-nuhertz-filtersolutions (scripts/nuhertz_case.py write-ftr). For executable filter synthesis use python/simulation/filterlib. Status may be promoted only after an AEDT 2025 R1+ install passes that skill's preflight.",
  "tags": null
}

python/simulation/skills/pmsat.yaml

{
  "id": "pmsat",
  "source": "python/simulation/skills/pmsat.yaml",
  "label": "PMSat",
  "name": null,
  "description": "Dual-band transmissive cross-slot meta-atom for LEO satellite uplink (29-30 GHz) and downlink (19-20 GHz).",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/polar_srr_flowform.yaml

This profile is distinct from automs and automs_77ghz. It records an exact static Polar-SRR project/report handoff while remaining hidden and non-executable. The four configured reports are co-polarized TE/TM reflection magnitude and phase; cross-polarized conversion terms are not part of this retained project contract.

{
  "id": "polar_srr_flowform",
  "source": "python/simulation/skills/polar_srr_flowform.yaml",
  "label": "Polar-SRR FlowForm 60 GHz handoff",
  "name": null,
  "description": "Hash-bound, non-executable handoff for the statically generated 60 GHz FlowForm Polar-SRR project; it does not reuse the incomplete AutoMS runtime profiles.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": "hash_bound_static_existing_project_handoff_only_no_aedt_launch_no_license_query_no_native_open_no_solver_execution_no_convergence_and_native_results_absent",
  "notes": "This profile is distinct from automs and automs_77ghz. It records an exact static Polar-SRR project/report handoff while remaining hidden and non-executable. The four configured reports are co-polarized TE/TM reflection magnitude and phase; cross-polarized conversion terms are not part of this retained project contract.",
  "tags": null
}

python/simulation/skills/remcom_wireless_insite.yaml

Requires project_xml=<absolute existing project XML>, an optional project_root (defaults to the XML parent), at least one explicit expected_outputs relative path, a major/minor input-installation version match, a configured license reference, and literal allow_launch=true before native execution. The complete project tree is copied into a bounded read-only hash snapshot so relative assets remain available. Output files are retained as evidence but are not presented as license, solver, or scientific-result verification.

{
  "id": "remcom_wireless_insite",
  "source": "python/simulation/skills/remcom_wireless_insite.yaml",
  "label": "Remcom Wireless InSite existing project",
  "name": null,
  "description": "Execute an existing Wireless InSite project XML through an isolated wibatch process.",
  "engine": "remcom_wireless_insite",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "evidence_foundation",
  "verification_scope": "process_and_filesystem_evidence_only",
  "notes": "Requires project_xml=<absolute existing project XML>, an optional project_root (defaults to the XML parent), at least one explicit expected_outputs relative path, a major/minor input-installation version match, a configured license reference, and literal allow_launch=true before native execution. The complete project tree is copied into a bounded read-only hash snapshot so relative assets remain available. Output files are retained as evidence but are not presented as license, solver, or scientific-result verification.",
  "tags": null
}

python/simulation/skills/remcom_xfdtd_canonical_farfield.yaml

Project generation emits hash-bound macro source only. Macro execution, .xf readback, Simulation/Run creation, xfsolver execution, proprietary result parsing, convergence, and scientific validity remain separate evidence gates.

{
  "id": "remcom_xfdtd_canonical_farfield",
  "source": "python/simulation/skills/remcom_xfdtd_canonical_farfield.yaml",
  "label": "XFdtd canonical far-field source",
  "name": null,
  "description": "Compile a parameterized dielectric scattering case and emit XFdtd 7.11.1.4 macro source for an absolute electric far-field angular grid.",
  "engine": "remcom_xfdtd",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "production_preflight",
  "verification_scope": "trusted_canonical_compiler_exact_projector_and_inert_xfdtd_macro_source_only_no_macro_execution_native_project_solver_input_or_result_parser",
  "notes": "Project generation emits hash-bound macro source only. Macro execution, .xf readback, Simulation/Run creation, xfsolver execution, proprietary result parsing, convergence, and scientific validity remain separate evidence gates.",
  "tags": null
}

python/simulation/skills/remcom_xfdtd_canonical_nearfield.yaml

The native-grid plane is intentionally distinct from an explicit Cartesian grid. Source emission does not execute the macro, create an .xf project, generate project.input, launch xfsolver, or certify results.

{
  "id": "remcom_xfdtd_canonical_nearfield",
  "source": "python/simulation/skills/remcom_xfdtd_canonical_nearfield.yaml",
  "label": "XFdtd canonical native-plane near-field source",
  "name": null,
  "description": "Compile a parameterized dielectric scattering case and emit XFdtd 7.11.1.4 macro source for a solver-native E/H sampling plane.",
  "engine": "remcom_xfdtd",
  "implemented": true,
  "ui_enabled": false,
  "maturity": "production_preflight",
  "verification_scope": "trusted_canonical_compiler_exact_projector_and_inert_xfdtd_macro_source_only_no_macro_execution_native_project_solver_input_or_result_parser",
  "notes": "The native-grid plane is intentionally distinct from an explicit Cartesian grid. Source emission does not execute the macro, create an .xf project, generate project.input, launch xfsolver, or certify results.",
  "tags": null
}

python/simulation/skills/remcom_xfdtd_farfield.yaml

MetaClaw does not create or repair XFdtd geometry, materials, excitation, simulation setup, or far-zone sensors. The caller must generate and review them in XFdtd first, then supply the exact Simulation/Run directory and expected output/... paths. A zero exit with changed files is process/filesystem evidence only; far-field units, angle convention, source normalization, result values, convergence, and scientific validity remain unverified until an independently validated proprietary-result parser and acceptance gate exist.

{
  "id": "remcom_xfdtd_farfield",
  "source": "python/simulation/skills/remcom_xfdtd_farfield.yaml",
  "label": "Remcom XFdtd existing far-field simulation",
  "name": null,
  "description": "Inspect or execute an existing XFdtd-generated Simulation/Run directory whose reviewed project already contains a far-zone sensor/output configuration.",
  "engine": "remcom_xfdtd",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "evidence_foundation",
  "verification_scope": "existing_generated_simulation_process_and_changed_files_only_no_project_generation_or_proprietary_far_field_parser",
  "notes": "MetaClaw does not create or repair XFdtd geometry, materials, excitation, simulation setup, or far-zone sensors. The caller must generate and review them in XFdtd first, then supply the exact Simulation/Run directory and expected output/... paths. A zero exit with changed files is process/filesystem evidence only; far-field units, angle convention, source normalization, result values, convergence, and scientific validity remain unverified until an independently validated proprietary-result parser and acceptance gate exist.",
  "tags": null
}

python/simulation/skills/remcom_xfdtd_nearfield.yaml

Canonical construction is available only through the canonical control-plane DAG; the legacy direct simulate-skill route remains the existing-generated-simulation runner. Canonical construction accepts only near_field_native_plane with explicit project-frame position in mm, an explicit unit normal, samplingGrid=solver_native, E and/or H, and one frequency structurally identical to the study. It emits hash-bound inert macro source; it does not execute the macro, create or read back an .xf project, generate project.xsim/project.input, launch xfsolver, or parse results. The legacy canonical near_field Cartesian grid remains blocked because an XFdtd native-grid plane cannot preserve explicit Cartesian sample coordinates. Existing-simulation preflight separately requires caller-supplied absolute project_dir and simulation_dir. simulation_dir must be an XFdtd-created Simulations/NNNNNN directory containing project.xsim or a RunNNNN directory containing project.input, plus bounded project.info WrittenWith metadata. Native execution additionally requires literal allow_launch=true, a configured REMCOMINC_LICENSE_FILE reference, explicit output/... paths, exact caller project/solver hashes, and independent server policy through METACLAW_XFDTD_NATIVE_EXECUTION=1, METACLAW_XFDTD_PROTECTED_INSTALLATION_APPROVED=1, and matching METACLAW_XFDTD_APPROVED_PROJECT_MANIFEST_SHA256 and METACLAW_XFDTD_APPROVED_SOLVER_SHA256 values. Changed output files remain process/filesystem evidence only; field values, coordinates in proprietary output, units, solver completion, license checkout, convergence, and scientific validity remain unverified.

{
  "id": "remcom_xfdtd_nearfield",
  "source": "python/simulation/skills/remcom_xfdtd_nearfield.yaml",
  "label": "Remcom XFdtd native-grid near-field",
  "name": null,
  "description": "Through the canonical control plane, generate deterministic no-launch XFdtd 7.11.1.4 macro source for a solver-native E/H plane; through the engine skill, preflight an existing XFdtd-generated Simulation/Run directory.",
  "engine": "remcom_xfdtd",
  "implemented": true,
  "ui_enabled": true,
  "maturity": "evidence_foundation",
  "verification_scope": "canonical_native_plane_to_macro_source_or_existing_generated_simulation_process_and_changed_files_only_no_macro_execution_native_project_solver_input_or_result_parser_claim",
  "notes": "Canonical construction is available only through the canonical control-plane DAG; the legacy direct simulate-skill route remains the existing-generated-simulation runner. Canonical construction accepts only near_field_native_plane with explicit project-frame position in mm, an explicit unit normal, samplingGrid=solver_native, E and/or H, and one frequency structurally identical to the study. It emits hash-bound inert macro source; it does not execute the macro, create or read back an .xf project, generate project.xsim/project.input, launch xfsolver, or parse results. The legacy canonical near_field Cartesian grid remains blocked because an XFdtd native-grid plane cannot preserve explicit Cartesian sample coordinates. Existing-simulation preflight separately requires caller-supplied absolute project_dir and simulation_dir. simulation_dir must be an XFdtd-created Simulations/NNNNNN directory containing project.xsim or a RunNNNN directory containing project.input, plus bounded project.info WrittenWith metadata. Native execution additionally requires literal allow_launch=true, a configured REMCOMINC_LICENSE_FILE reference, explicit output/... paths, exact caller project/solver hashes, and independent server policy through METACLAW_XFDTD_NATIVE_EXECUTION=1, METACLAW_XFDTD_PROTECTED_INSTALLATION_APPROVED=1, and matching METACLAW_XFDTD_APPROVED_PROJECT_MANIFEST_SHA256 and METACLAW_XFDTD_APPROVED_SOLVER_SHA256 values. Changed output files remain process/filesystem evidence only; field values, coordinates in proprietary output, units, solver completion, license checkout, convergence, and scientific validity remain unverified.",
  "tags": null
}

python/simulation/skills/rf_latching_retroreflector_button.yaml

{
  "id": "rf_latching_retroreflector_button",
  "source": "python/simulation/skills/rf_latching_retroreflector_button.yaml",
  "label": "RoS Circular RF Latching Button",
  "name": null,
  "description": "Design-rule entry derived from the RoS passive smart surface and Van Atta retrodirective reflector principle for a 60 GHz circular dual-state latching button.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": [
    "RoS",
    "retro-reflector",
    "60GHz",
    "Van Atta",
    "retrodirective",
    "passive smart surface",
    "metasurface",
    "latching switch",
    "button",
    "HFSS"
  ]
}

python/simulation/skills/rffocus.yaml

{
  "id": "rffocus",
  "source": "python/simulation/skills/rffocus.yaml",
  "label": "RFocus",
  "name": null,
  "description": "Large-scale passive reflecting surface with 3720 binary RF-switch elements for WiFi signal focusing at 2.4 GHz.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/rflens.yaml

{
  "id": "rflens",
  "source": "python/simulation/skills/rflens.yaml",
  "label": "RFlens",
  "name": null,
  "description": "Reconfigurable transmissive metasurface with dual-patch (C-slot passive + O-slot active) unit cells on F4B substrate at 5 GHz WiFi.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/rflens_5ghz.yaml

{
  "id": "rflens_5ghz",
  "source": "python/simulation/skills/rflens_5ghz.yaml",
  "label": "RFlens 5 GHz",
  "name": null,
  "description": "PIN-diode transmitarray RIS at 5.5 GHz for indoor WiFi coverage steering. C-shaped slot patch unit cell on F4B substrate with FR4 spacer. MetaClaw automates phase profile design and coverage heatmap verification.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/rfmagus_28ghz.yaml

{
  "id": "rfmagus_28ghz",
  "source": "python/simulation/skills/rfmagus_28ghz.yaml",
  "label": "RFMagus 28 GHz",
  "name": null,
  "description": "2-bit reconfigurable reflective RIS at 28 GHz for mmWave dead-zone elimination. Rogers RT/duroid 5880 patch unit cell with AI-driven phase profile optimization. MetaClaw automates phase calculation, beam pattern cuts, and coverage heatmaps.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/scattermimo.yaml

{
  "id": "scattermimo",
  "source": "python/simulation/skills/scattermimo.yaml",
  "label": "ScatterMIMO",
  "name": null,
  "description": "Passive reflective smart surface with 2-bit phase-shifting patch antennas creating virtual APs for WiFi MIMO at 5 GHz.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}

python/simulation/skills/scrolls.yaml

{
  "id": "scrolls",
  "source": "python/simulation/skills/scrolls.yaml",
  "label": "Scrolls",
  "name": null,
  "description": "Frequency-tunable soft smart surface with rollable copper strips for wideband sub-6 GHz multi-network coverage.",
  "engine": "hfss",
  "implemented": false,
  "ui_enabled": false,
  "maturity": null,
  "verification_scope": null,
  "notes": null,
  "tags": null
}