#733 by GitHub stars
Cai-aa/CAE-Agent-Hub
Use when: operating the standalone ansys-cfx-mcp CFX MCP leaf directly from generic clients or MCP hosts. Covers CFX-Pre, Solver, CFD-Post, cfx_workflow, cfx_model_context, run_code, validate_code, lifecycle actions, model context, named objects, API help, and result-file discovery.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
View weekly changes
MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md
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Verified commit 56705e07ce6e99f0d5a0d0c7b5e28b6b2c0bc973
git clone --filter=blob:none --no-checkout https://github.com/Cai-aa/CAE-Agent-Hub.git .hotskills/cai-aa-cae-agent-hub && git -C .hotskills/cai-aa-cae-agent-hub checkout --detach 56705e07ce6e99f0d5a0d0c7b5e28b6b2c0bc973
# Copy each selected skill directory from .hotskills/cai-aa-cae-agent-hub into .agents/skills/<skill-name>/Heat
8.1- Star growth, last 7 daysAhead of 97% of tracked repositories
- Star growth, last 24 hoursAhead of 97% of tracked repositories
- Rank movement, last 7 daysAhead of 92% of tracked repositories
- Commits, last 30 daysAhead of 76% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- cfx-mcp-tools
MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills - ansys-fluent-mcp
MCP/Ansys/PyAnsys/pyfluent-mcp/src/ansys/fluent/mcp/solve/skills - cst-runtime-cli
MCP/CST/vendor/cst-runtime-cli/skills/cst-runtime-cli - cst-runtime-optimization
MCP/CST/vendor/cst-runtime-cli/skills/cst-runtime-optimization - adams-evidence-mbd
Skill/Adams/adams-evidence-mbd - aedt-evidence-electromagnetics
Skill/Ansys/aedt-evidence-electromagnetics - ansys-mechanical-evidence-structural
Skill/Ansys/ansys-mechanical-evidence-structural - ansys-structural-workbench
Skill/Ansys/ansys-structural-workbench - run-fluent-autoclave
Skill/Ansys/run-fluent-autoclave - cst-simulation-workflow
Skill/CST/cst-simulation-workflow - cylinder-o-grid
Skill/General/cylinder-o-grid - abaqus-contact-analysis
Skill/abaqus/analysis/abaqus-contact-analysis - abaqus-coupled-analysis
Skill/abaqus/analysis/abaqus-coupled-analysis - abaqus-dynamic-analysis
Skill/abaqus/analysis/abaqus-dynamic-analysis - abaqus-fatigue-analysis
Skill/abaqus/analysis/abaqus-fatigue-analysis - abaqus-modal-analysis
Skill/abaqus/analysis/abaqus-modal-analysis - abaqus-static-analysis
Skill/abaqus/analysis/abaqus-static-analysis - abaqus-thermal-analysis
Skill/abaqus/analysis/abaqus-thermal-analysis - composite-curing-simulation
Skill/abaqus/composite-curing-simulation - curing-steps
Skill/abaqus/composite-curing-simulation/analysis/curing-steps - springback-analysis
Skill/abaqus/composite-curing-simulation/analysis/springback-analysis - composite-curing
Skill/abaqus/composite-curing-simulation/core/composite-curing - curing-job
Skill/abaqus/composite-curing-simulation/execution/curing-job - socket-bridge
Skill/abaqus/composite-curing-simulation/execution/socket-bridge - composite-layup
Skill/abaqus/composite-curing-simulation/modeling/composite-layup - composite-mesh
Skill/abaqus/composite-curing-simulation/modeling/composite-mesh - mold-geometry
Skill/abaqus/composite-curing-simulation/modeling/mold-geometry - csv-export
Skill/abaqus/composite-curing-simulation/postprocessing/csv-export - odb-extraction
Skill/abaqus/composite-curing-simulation/postprocessing/odb-extraction - curing-parameters
Skill/abaqus/composite-curing-simulation/reference/curing-parameters - curing-bc
Skill/abaqus/composite-curing-simulation/setup/curing-bc - curing-contact
Skill/abaqus/composite-curing-simulation/setup/curing-contact - curing-load
Skill/abaqus/composite-curing-simulation/setup/curing-load - curing-material
Skill/abaqus/composite-curing-simulation/setup/curing-material - curing-temperature
Skill/abaqus/composite-curing-simulation/setup/curing-temperature - abaqus
Skill/abaqus/core/abaqus - abaqus-export
Skill/abaqus/execution/abaqus-export - abaqus-job
Skill/abaqus/execution/abaqus-job - abaqus-geometry
Skill/abaqus/modeling/abaqus-geometry - abaqus-interaction
Skill/abaqus/modeling/abaqus-interaction - abaqus-material
Skill/abaqus/modeling/abaqus-material - abaqus-mesh
Skill/abaqus/modeling/abaqus-mesh - abaqus-optimization
Skill/abaqus/optimization/abaqus-optimization - abaqus-shape-optimization
Skill/abaqus/optimization/abaqus-shape-optimization - abaqus-topology-optimization
Skill/abaqus/optimization/abaqus-topology-optimization - abaqus-odb
Skill/abaqus/postprocessing/abaqus-odb - fea-structural
Skill/abaqus/reference/fea-structural - fenics-fem
Skill/abaqus/reference/fenics-fem - abaqus-amplitude
Skill/abaqus/setup/abaqus-amplitude - abaqus-bc
Skill/abaqus/setup/abaqus-bc - abaqus-docs
Skill/abaqus/setup/abaqus-docs - abaqus-field
Skill/abaqus/setup/abaqus-field - abaqus-load
Skill/abaqus/setup/abaqus-load - abaqus-output
Skill/abaqus/setup/abaqus-output - abaqus-step
Skill/abaqus/setup/abaqus-step - calculix-fem
Skill/calculix/calculix-fem - calculix-modal-analysis
Skill/calculix/calculix-modal-analysis - calculix-sizing-optimization
Skill/calculix/calculix-sizing-optimization - comsol-motor-nvh-evidence
Skill/comsol/comsol-motor-nvh-evidence - fep-agent-hub
Skill/fep-agent-hub - lammps-evidence-md
Skill/lammps/lammps-evidence-md - ovito-evidence-postprocessing
Skill/ovito/ovito-evidence-postprocessing - peridigm-evidence-fracture
Skill/peridigm/peridigm-evidence-fracture
How it works
cfx-mcp-tools
When your agent uses it
Use when: operating the standalone ansys-cfx-mcp CFX MCP leaf directly from generic clients or MCP hosts. Covers CFX-Pre, Solver, CFD-Post, cfx_workflow, cfx_model_context, run_code, validate_code, lifecycle actions, model context, named objects, API help, and result-file discovery.
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
984 tokensWhen the skill is activated
Reference documents
1,541 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Tool surface
- Operating pattern
- Token discipline
- Safety rules
- Common recipes
Files
SKILL.mdcore3,920 bytesreferences/cfx-mcp-tool-reference.mddoc5,915 bytes
Read SKILL.md
# PyCFX-MCP tools
Use this skill when you are calling the standalone `ansys-cfx-mcp` CFX MCP leaf directly. The CFX leaf intentionally exposes a small tool surface so generic agents do not have to choose among many low-level helpers.
## Tool surface
Expect these tools by default:
- `session_status`
- `connect`
- `disconnect`
- `cfx_workflow`
- `cfx_model_context`
- `run_code`View the complete source on GitHubansys-fluent-mcp
When your agent uses it
Drive an ANSYS Fluent solver session through the standalone `ansys-fluent-mcp` MCP server. USE WHEN the user asks to load a case/mesh, inspect physics, change settings, run iterations, or query results — and the chat client is connected directly to the MCP (VS Code Copilot, Cursor, Claude Desktop). EXPOSES a 22-tool surface: `session_status`, `connect`, `disconnect`, `find_api`, `get_help`, `get_state`, `get_targeted_context`, `list_named_objects`, `find_named_object`, `select_named_objects`, `summarize_setup`, `simulation_report`, `solver_status`, `run_code`, `validate_code`, `screenshot`, `mesh_quality`, `list_fields`, `compare_files`. This is a STATELESS leaf: there is no plan/journal/rollback and no `propose_step` / `finalize` planning machinery — `run_code` mutates the live solver immediately. DO NOT USE FOR generic Python / CFD-theory questions unrelated to Fluent.
What it loads into context
Frontmatter
247 tokensAlways available to the agent
SKILL.md
3,170 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Tool roster (this is what you actually have)
- The composition pattern
- Path roots (universal Fluent knowledge)
- Recipes for common intents
- Golden rules
- Anti-patterns (do not do)
- Planning, retries, and recovery — host responsibility
Scripts executed separately
__init__.py
Files
SKILL.mdcore12,887 bytesSKILL.mdcore12,887 bytes__init__.pyruns1,142 bytes
Read SKILL.md
# ANSYS Fluent MCP (standalone) — Authoring Playbook
This skill targets the tool surface that `ansys-fluent-mcp` ships.
The server gives you composable primitives — discovery, state read,
schema discovery, validation, sandboxed execution — and you build
everything else by chaining them. It is **stateless**: each call stands alone, there
is no plan builder, journal, or undo.
## Tool roster (this is what you actually have)
| Tool | One-line purpose |
|---|---|
| `session_status` | Are we connected? Which backend? |
| `connect(ip?, port?, ...)` | Launch a local Fluent session or attach to a running one. |View the complete source on GitHubcst-runtime-cli
When your agent uses it
CST Studio Suite 正式生产入口。覆盖 session 管理、几何建模、参数优化、仿真、S11/远场结果读取和审计落盘。当用户要求使用 CLI/runtime 执行 CST 操作时调用此 Skill。
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
4,263 tokensWhen the skill is activated
Reference documents
7,817 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 核心流程参考(agent 快速入口)
- 部署引导(一次性)
- 重新部署
- Skill 包结构
- 触发条件
- CLI 调用原则
- 环境自检与修复
- 管道工具与原子工具的关系
- 管道参考表
- 核心结果工具
- 进程管理前置 gate
- 结果与远场红线
- 错误处理
- 历史说明
- 最终验收清单
Scripts executed separately
tests/__init__.pytests/cli/__init__.pytests/cli/test_capture_3d_view.pytests/cli/test_cli_errors.pytests/cli/test_cli_functional.pytests/cli/test_governance.pytests/cli/test_pipelines_metadata.pytests/cli/test_tools_metadata.pytests/conftest.pytests/core/__init__.pytests/core/test_farfield.pytests/core/test_project.pytests/core/test_results.pytests/core/test_session.pytests/core/test_simulation.pytests/helpers.pytests/manual_pipeline_contracts.pytests/test_arch_invariants.pytests/test_cli_remaining.pytests/test_farfield_analysis.pytests/test_gateway.pytests/test_objective.pytests/test_pipelines.pytests/test_project_identity.pytests/test_render.pytools/generate_tools.py
Files
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style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(300um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(400um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(500um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(50um) Cloth style(1035).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(50um) Cloth style(1067).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(555um) Cloth style(7628).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(625um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(65um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(65um) Cloth style(1080).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(740um) Cloth style(7628).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(750um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(75um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(90um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(G) Thickness(925um) Cloth style(7628).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(100um) Cloth style(1035).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(100um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(125um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(127um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(130um) Cloth style(1080).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(146um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(150um) Cloth style(1080).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(178um) Cloth style(1078).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(200um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(250um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(300um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(400um) Cloth style(3313).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(500um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(50um) Cloth style(1035).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(625um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(65um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(65um) Cloth style(1080).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(750um) Cloth style(2116).mtdasset2,494 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(75um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(K) Thickness(90um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(100um) Cloth style(1035).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(100um) Cloth style(2013).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(125um) Cloth style(2116).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(127um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(146um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(178um) Cloth style(1078).mtdasset2,493 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(200um) Cloth style(2013).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(250um) Cloth style(2116).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(300um) Cloth style(2013).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(400um) Cloth style(2013).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(500um) Cloth style(2116).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(50um) Cloth style(1035).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(625um) Cloth style(2116).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(65um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(750um) Cloth style(2116).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(75um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Laminate R-5775(N) Thickness(90um) Cloth style(1078).mtdasset2,492 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(104um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(106um) Cloth style(3313).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(118um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(125um) Cloth style(2116).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(132um) Cloth style(2116).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(49um) Cloth style(1027).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(59um) Cloth style(1067).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(60um) Cloth style(1035).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(67um) Cloth style(1067).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(68um) Cloth style(1035).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(72um) Cloth style(1067).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(74um) Cloth style(1035).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(76um) Cloth style(1080).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(77um) Cloth style(1078).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(87um) Cloth style(1080).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(89um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(G) Thickness(98um) Cloth style(3313).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(104um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(106um) Cloth style(3313).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(118um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(125um) Cloth style(2116).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(132um) Cloth style(2116).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(49um) Cloth style(1027).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(60um) Cloth style(1035).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(68um) Cloth style(1035).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(74um) Cloth style(1035).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(76um) Cloth style(1080).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(77um) Cloth style(1078).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(87um) Cloth style(1080).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(89um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(K) Thickness(98um) Cloth style(3313).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(104um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(106um) Cloth style(2013).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(118um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(125um) Cloth style(2116).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(132um) Cloth style(2116).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(60um) Cloth style(1035).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(68um) Cloth style(1035).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(74um) Cloth style(1035).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(77um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(89um) Cloth style(1078).mtdasset2,484 bytesreferences/Materials/Panasonic MEGTRON6 Prepreg R-5670(N) Thickness(98um) Cloth style(2013).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(100um) Cloth style(1035).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(100um) Cloth style(3313).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(125um) Cloth style(2116).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(127um) Cloth style(1078).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(146um) Cloth style(1078).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(178um) Cloth style(1078).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(200um) Cloth style(3313).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(250um) Cloth style(2116).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(300um) Cloth style(3313).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(400um) Cloth style(3313).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(500um) Cloth style(2116).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(50um) Cloth style(1035).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(625um) Cloth style(2116).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(65um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(750um) Cloth style(2116).mtdasset2,483 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(75um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GE) Thickness(90um) Cloth style(1078).mtdasset2,485 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(100um) Cloth style(1035).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(100um) Cloth style(2013).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(125um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(127um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(146um) Cloth style(1078).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(178um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(200um) Cloth style(2013).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(250um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(300um) Cloth style(2013).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(400um) Cloth style(2013).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(500um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(50um) Cloth style(1035).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(625um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(65um) Cloth style(1078).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(750um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(75um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(GN) Thickness(90um) Cloth style(1078).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(100um) Cloth style(1035).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(100um) Cloth style(3313).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(114um) Cloth style(1027).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(125um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(127um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(135um) Cloth style(1035).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(146um) Cloth style(1078).mtdasset2,488 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(178um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(200um) Cloth style(3313).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(250um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(300um) Cloth style(3313).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(400um) Cloth style(3313).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(500um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(50um) Cloth style(1035).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(625um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(65um) Cloth style(1078).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(750um) Cloth style(2116).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(75um) Cloth style(1027).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(75um) Cloth style(1078).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(80um) Cloth style(1035).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(90um) Cloth style(1035).mtdasset2,487 bytesreferences/Materials/Panasonic MEGTRON7 Laminate R-5785(N) Thickness(90um) Cloth style(1078).mtdasset2,486 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(101um) Cloth style(1080).mtdasset2,480 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(104um) Cloth style(1078).mtdasset2,480 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(106um) Cloth style(3313).mtdasset2,480 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(115um) Cloth style(1080).mtdasset2,480 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(118um) Cloth style(1078).mtdasset2,480 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(132um) Cloth style(2116).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(60um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(68um) Cloth style(1035).mtdasset2,473 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(74um) Cloth style(1035).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(76um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(77um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(87um) Cloth style(1080).mtdasset2,477 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(89um) Cloth style(1078).mtdasset2,477 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GE) Thickness(98um) Cloth style(3313).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(100um) Cloth style(2013).mtdasset2,474 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(102um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(104um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(109um) Cloth style(2013).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(115um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(118um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(132um) Cloth style(2116).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(60um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(68um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(74um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(77um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(77um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(87um) Cloth style(1080).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(GN) Thickness(89um) Cloth style(1078).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(102um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(104um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(106um) Cloth style(3313).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(115um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(118um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(132um) Cloth style(2116).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(49um) Cloth style(1027).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(60um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(68um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(74um) Cloth style(1035).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(77um) Cloth style(1078).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(77um) Cloth style(1080).mtdasset2,479 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(87um) Cloth style(1080).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(89um) Cloth style(1078).mtdasset2,478 bytesreferences/Materials/Panasonic MEGTRON7 Prepreg R-5680(N) Thickness(98um) Cloth style(3313).mtdasset2,473 bytesreferences/Materials/Panasonic XPEDION 1 Laminate R-5515 Thickness(105um) Cloth style(1067).mtdasset2,411 bytesreferences/Materials/Panasonic XPEDION 1 Laminate 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Read SKILL.md
# CST Runtime CLI Skill
## 核心流程参考(agent 快速入口)
从零开始完成 CST 优化任务的标准三步流程:
### 准备:部署引导(一次性)
新 agent 首次接手工作区按部署引导章节完成部署。后续直接从 ① 开始。
### ① 创建工程(从零开始)
无源 .cst 文件时,先用 `create-blank-project` 建空白工程,再用建模工具搭建结构。标准流程:
View the complete source on GitHubcst-runtime-optimization
When your agent uses it
当用户要求使用 CLI/runtime 执行 CST 参数优化循环、S11 指标迭代、多轮仿真对比时调用此 Skill。本 Skill 依赖 cst-runtime-cli 提供基础设施,不携带 runtime scripts,所有 CLI 调用走 base skill 的 uv run python -m cst_runtime 入口。
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
4,877 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 优化流程速查
- 定位
- 依赖声明
- Objective 函数系统
- 触发条件
- 文件名约定
- 优化迭代模式
- 自动化优化循环红线
- 优化闭环流程
- 泛用经验总结
- 引用
- 最终验收清单
Files
SKILL.mdcore17,461 bytesSKILL.mdcore17,461 bytesSKILL.mdcore17,461 bytesSKILL.mdcore17,461 bytes
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# CST Runtime 优化 Skill
## 优化流程速查
```text
Phase 0: 准备
task 确认(工程/目标/参数/约束) → inspect-project(含category)
[agent: 选几何参数 → 用户确认 → 翻译为objective spec]
Phase 1: 探针(参数≥4强制)
run-probe-phase --objective <spec>
[agent: 看top_params/edge_hit → 选参数/调范围/定算法]
Phase 2: 优化循环View the complete source on GitHubadams-evidence-mbd
When your agent uses it
Build and validate rigid-body mechanisms with the Adams MCP, including box bodies, revolute joints, gravity, rotational motion, bounded View batch runs and numeric reaction histories. Use for Adams or multibody dynamics tasks with a configured local Adams MCP.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
496 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Model and execute
- Assess the result
Files
SKILL.mdcore2,470 bytes
Read SKILL.md
# Adams evidence workflow
Probe `adams_environment_probe` and `adams_capabilities` before choosing an
operation. The bridge targets Adams/View 2024.1; a detected launcher or an
available tool does not prove native execution or license checkout.
## Model and execute
- Confirm the mechanism, coordinate system, units, masses, inertia about each
center of mass, joint axes, constraints, drive law and requested observables.
- Prefer `adams_project_create` followed by rigid-body, revolute-joint, gravity
and rotational-motion tools. Keep semantic IDs unique across model entities.
- Box inertia uses mass times squared model length. For mm/kg/sec, gravity is
approximately 9806.65 mm/sec². Check force-unit conversion in Adams exports.View the complete source on GitHubaedt-evidence-electromagnetics
When your agent uses it
Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Use when Codex must check AEDT/PyAEDT, create or run a real AEDT design, verify the selected design and solution type, extract fields or matrices, export an .aedt project, or distinguish direct PyAEDT work from an AEDT MCP bridge.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
560 tokensWhen the skill is activated
Reference documents
272 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Start
- Select the Correct Route
- Execute
- Finish
Files
SKILL.mdcore2,364 bytesSKILL.mdcore2,364 bytesSKILL.mdcore2,364 bytesSKILL.mdcore2,364 bytesagents/openai.yamlasset231 bytesreferences/acceptance-gates.mddoc1,343 bytes
Read SKILL.md
# AEDT Evidence Electromagnetics
Use the repository toolbox and a user-owned AEDT installation. Never infer a
successful electromagnetic solve from `ansysedt.exe`, a project file, or a
geometry screenshot.
## Start
```powershell
ai-cae-toolbox context-scope --solver aedt
ai-cae-toolbox bridge-plan --solver aedt --objective "<objective>"
ai-cae-toolbox create-run --solver aedt --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver aedt --run-dir <run-dir>
```View the complete source on GitHubansys-mechanical-evidence-structural
When your agent uses it
Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC. Use when Codex must build, solve, inspect, postprocess, or validate static, modal, thermal-structural, contact, nonlinear, or other Mechanical analyses with mesh metrics, MAPDL logs, reaction balance, RST files, numeric exports, and result images.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
508 tokensWhen the skill is activated
Reference documents
222 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Start
- Choose One Control Route
- Model and Solve
- Finish
Files
SKILL.mdcore2,216 bytesSKILL.mdcore2,216 bytesSKILL.mdcore2,216 bytesagents/openai.yamlasset239 bytesreferences/acceptance-gates.mddoc1,100 bytes
Read SKILL.md
# Ansys Mechanical Evidence Structural
Treat Mechanical as its own solver module. Workbench is an orchestration route,
not proof that the Mechanical analysis solved.
## Start
```powershell
ai-cae-toolbox context-scope --solver ansys-mechanical
ai-cae-toolbox bridge-plan --solver ansys-mechanical --objective "<objective>"
ai-cae-toolbox create-run --solver ansys-mechanical --case <case-name> --objective "<objective>"
```
If MCP is available, prefer:View the complete source on GitHubansys-structural-workbench
When your agent uses it
Operate or inspect live ANSYS Workbench Mechanical structural simulations through the configured MCP, including model setup, materials, connections, loads, mesh, solve, convergence, validation, and reporting. Use whenever a user asks Codex to create, configure, inspect, mesh, solve, troubleshoot, or validate a live Workbench structural analysis. Before model decisions or mutation, load ansys-workbench-practical-reference once as the book-distilled router and then the matching narrow reference Skill. Load static-modeling for every Static Structural task, plus nonlinear-contact for contact, friction, plasticity, large deformation, buckling, or nonlinear convergence. Do not use for theory-only questions or Fluent/CFX operation.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
1,763 tokensWhen the skill is activated
Reference documents
6,159 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Mandatory book-guidance route
- Start safely
- Select references
- Execute the gated workflow
- Geometry and scoping rules
- Mesh rules
- Deterministic scripts
- Non-negotiable rules
- Output
Scripts executed separately
scripts/build_analysis_report.pyscripts/calculate_reference_values.pyscripts/evaluate_mesh_convergence.pyscripts/evaluate_mesh_quality.pyscripts/mechanical_mesh_bridge.pyscripts/normalize_units.pyscripts/recommend_mesh_repairs.pyscripts/validate_contact_results.pyscripts/validate_job_spec.pyscripts/validate_results.pytests/test_scripts.py
Files
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Read SKILL.md
# ANSYS Structural Workbench
Operate Workbench as an engineering workflow with explicit quality gates. Treat the MCP as the execution adapter and this Skill as the analysis, meshing, validation, and reporting policy.
## Mandatory book-guidance route
Before inspecting settings for engineering acceptance, mutating the model, meshing, or solving, load `ansys-workbench-practical-reference` once and use it to select the physics-specific book-derived guidance. This is a required intake gate, not an optional source lookup.
- Every Static Structural task must load `ansys-workbench-static-modeling-reference`.
- A static task with contact or friction must load both `ansys-workbench-static-modeling-reference` and `ansys-workbench-nonlinear-contact-reference`.
- Also load `ansys-workbench-nonlinear-contact-reference` for plasticity, large deflection, buckling, stabilization, changing contact state, or nonlinear convergence.
- Modal, transient, explicit, thermal, and optimization tasks load only their matching narrow reference Skill; do not load unrelated book domains.
The book-derived Skills govern modeling assumptions and physical checks. This Skill governs live MCP actions, evidence, and safe execution. Record which guidance Skills were loaded in the task intake or final report. Do not repeatedly re-route after the applicable set has been loaded.View the complete source on GitHubrun-fluent-autoclave
When your agent uses it
Run, diagnose, reproduce, and validate ANSYS Fluent CFD simulations of forced-convection autoclaves using Fluent MCP or PyFluent. Use for autoclave or hot-air vessel projects involving SCDOC/STEP geometry, annular velocity inlets, pressure outlets, Spalart-Allmaras turbulence, energy transport, calorimeter temperature boundaries, automatic meshing, longitudinal velocity contours, streamlines, mass-balance checks, or the Bohne paper boundary-condition case.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
793 tokensWhen the skill is activated
Reference documents
871 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Required physical setup
- Reliability rules
- Bundled scripts
Scripts executed separately
scripts/mesh_autoclave_paper_case.pyscripts/plot_fluent_paper_results.pyscripts/prepare_fluent_paper_mesh.pyscripts/validate_results.py
Files
SKILL.mdcore3,935 bytesagents/openai.yamlasset292 bytesreferences/mcp-workflow.mddoc1,772 bytesreferences/paper-case.mddoc1,791 bytesscripts/mesh_autoclave_paper_case.pyruns4,139 bytesscripts/plot_fluent_paper_results.pyruns8,023 bytesscripts/prepare_fluent_paper_mesh.pyruns4,255 bytesscripts/validate_results.pyruns1,871 bytes
Read SKILL.md
# Run Fluent Autoclave
Reproduce the validated open autoclave workflow while preserving geometry-specific judgment and numerical evidence.
## Workflow
1. Detect Fluent before launching it. Confirm `fluent.exe`, PyFluent, version, and job directory.
2. Inspect the geometry and existing project files. Reuse a valid STEP/fluid domain instead of rebuilding geometry.
3. Read [references/paper-case.md](references/paper-case.md) before applying the Bohne-style boundary conditions.
4. Read [references/mcp-workflow.md](references/mcp-workflow.md) before controlling Fluent MCP or handling a Chinese path.
5. Copy the bundled scripts into the job directory and adjust only the geometry-dependent constants.
6. Generate and check the mesh. Reject unmatched boundary faces, non-manifold faces, invalid volumes, or a misidentified full-face inlet.
7. Configure Fluent in small validated chunks. Print each model, material, and boundary state after setting it.
8. Run one time step first. Continue only if the mesh is valid and residuals remain finite.View the complete source on GitHubcst-simulation-workflow
When your agent uses it
Use this skill when driving CST Studio Suite through the CST MCP for electromagnetic simulation workflows: creating or opening CST projects, resolving missing inputs, selecting templates, setting up geometry/materials/ports/boundaries/mesh/solvers/monitors, running or planning simulations, extracting S-parameters/far-field/near-field/eigenmode results, validating outputs, parameter sweeps, optimization handoff, and report generation.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,116 tokensWhen the skill is activated
Reference documents
4,586 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Operating Modes
- Standard Workflow
- Reference Files
- Input Policy
- Execution Rules
- Result Rules
- V1 Scope
Files
SKILL.mdcore5,406 bytesagents/openai.yamlasset390 bytesmetadata.jsonasset360 bytesreferences/cst-red-lines.mddoc2,686 bytesreferences/mcp-tool-map.mddoc3,518 bytesreferences/parameter-policy.mddoc3,259 bytesreferences/result-validation.mddoc3,413 bytesreferences/templates.mddoc3,794 bytesreferences/workflow.mddoc3,526 bytes
Read SKILL.md
# CST Simulation Workflow
Use this skill as the workflow and decision layer. Use the CST MCP as the execution layer.
Prefer the repository CST MCP native tools for live session control. Use the vendored `cst_runtime_*` or `cst_toolbox_*` wrappers for larger command catalogs, workspace pipelines, result export, parameter sweeps, and optimization helpers.
## Operating Modes
First classify the request:
| Mode | Use when | Action |
| --- | --- | --- |
| Plan only | User asks for a scheme, script outline, or workflow | Do not run CST; produce the setup plan and assumptions |
| New project | User wants a new CST case | Select a template, resolve inputs, create a run project |View the complete source on GitHubcylinder-o-grid
When your agent uses it
Plan, create, adapt, and quality-audit coin-style five-block O-grid hexahedral meshes for cylindrical CAE models. Use for software-independent O-grid planning or implementation in a selected preprocessor, including requests mentioning 钱币原理、圆柱网格、中心正方形、顶点切到圆周、结构化六面体网格, mapped square-to-circle partitions, or HEX8 meshes. Includes a generic planner and an Abaqus/CAE execution adapter; do not claim automated support in another CAE application without a matching adapter or proved live native-tool path.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
1,377 tokensWhen the skill is activated
Reference documents
1,610 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Establish the task
- Enforce the topology
- Route to the target software
- Execute the workflow
- Use the bundled scripts
- Report acceptance evidence
Scripts executed separately
scripts/abaqus_build_ogrid.pyscripts/plan_ogrid.py
Files
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Read SKILL.md
# Cylinder O-Grid
Create a reviewable coin-style O-grid and accept it only after topology, mesh, and analysis checks pass in the selected CAE workflow.
## Establish the task
Collect or infer only low-risk inputs:
- Identify the target preprocessor, solver, analysis type, and whether the task is plan-only or a live implementation.
- Distinguish a new cylinder from an existing production part.
- Record radius `R`, length `L`, cylinder axis, units, and any interfaces or local refinement zones.
- Record the requested brick family and the exact solver-specific formulation when known.
- Record either target element size or counts for one square side/90-degree arc, radial layers, and axial layers.
- Ask before changing geometry, deleting an existing mesh, replacing a model, or relaxing a quality gate.View the complete source on GitHubabaqus-contact-analysis
When your agent uses it
Analyze multi-body contact. Use when user mentions parts touching, friction between surfaces, bolt-plate contact, press fit, or assembly with contact.
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,132 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow Steps
- Key Decisions
- What to Ask User
- Validation Checklist
- Troubleshooting
- Code Patterns
- Related Skills
Files
SKILL.mdcore4,815 bytesUPSTREAM.mddoc432 bytesUPSTREAM_LICENSEasset1,067 bytesmetadata.jsonasset847 bytes
Read SKILL.md
# Abaqus Contact Analysis Workflow
This skill guides multi-body contact analysis setup. It's a **workflow skill** - use it when analyzing assemblies where surfaces touch, slide, or separate.
## When to Use This Skill
**Route here when user mentions:**
- "Parts touching each other"
- "Contact between surfaces"
- "Friction between parts"
- "Bolt and plate contact"
- "Press fit / interference fit"
- "Multi-body assembly"
- "Parts sliding on each other"View the complete source on GitHubabaqus-coupled-analysis
When your agent uses it
Complete workflow for coupled thermomechanical analysis. Use when user mentions thermal stress, thermal expansion, or temperature causing deformation.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,251 tokensWhen the skill is activated
Reference documents
114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Coupled Thermomechanical Analysis
- What to Ask User
- Validation Checklist
- Troubleshooting
- Related Skills
- Code Patterns
Files
SKILL.mdcore5,312 bytesSKILL.mdcore5,312 bytesSKILL.mdcore5,312 bytesUPSTREAM.mddoc432 bytesUPSTREAM_LICENSEasset1,067 bytesmetadata.jsonasset847 bytes
Read SKILL.md
# Abaqus Coupled Thermomechanical Analysis Workflow
Analyze problems where temperature and mechanical response interact. Use for thermal stress, expansion-induced deformation, and high-temperature structural components.
## When to Use This Skill
**Natural language triggers:**
- "Thermal stress analysis"
- "Thermomechanical coupling"
- "Temperature causes stress/deformation"
- "Thermal expansion effects"
- "Heat causes deformation"
- "Thermal shock"
- "High temperature component"View the complete source on GitHubabaqus-dynamic-analysis
When your agent uses it
Complete workflow for dynamic analysis. Use when user mentions impact, crash, drop test, transient, or time-varying response. Handles explicit and implicit dynamics.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,138 tokensWhen the skill is activated
Reference documents
111 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Setting Up Dynamic Analysis
- Key Parameters
- Validation Checklist
- Troubleshooting
- Related Skills
- Code Patterns
Files
SKILL.mdcore4,858 bytesUPSTREAM.mddoc432 bytesUPSTREAM_LICENSEasset1,067 bytesmetadata.jsonasset847 bytes
Read SKILL.md
# Abaqus Dynamic Analysis Skill
This skill handles explicit and implicit dynamics for impact, crash, drop test, and transient response analysis.
## When to Use This Skill
**Route here when user mentions:**
- Impact, crash, collision, drop test
- Transient response, time-varying response
- Shock loading, blast loading, explosive loading
- High-speed events, wave propagation
- "What happens when it hits..."
**Route elsewhere:**View the complete source on GitHubabaqus-fatigue-analysis
When your agent uses it
Workflow for fatigue and durability analysis - cycle counting, damage accumulation, and fatigue life prediction.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,139 tokensWhen the skill is activated
Reference documents
111 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Important: Abaqus Fatigue Limitations
- Prerequisites
- Workflow Steps
- Key Decisions
- What to Ask the User
- Key Parameters
- Troubleshooting
- Related Skills
- Code Patterns
Files
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# Abaqus Fatigue Analysis Skill
Predict fatigue life from FEA stress results using S-N curves and damage accumulation.
## When to Use This Skill
**Route here when user mentions:**
- "fatigue", "how many cycles", "fatigue life"
- "durability", "S-N curve", "cycles to failure"
- "rainflow counting", "Miner's rule"
- "high-cycle fatigue", "low-cycle fatigue"
**Route elsewhere:**
- Just stress analysis → `/abaqus-static-analysis`View the complete source on GitHubabaqus-modal-analysis
When your agent uses it
Complete workflow for modal/frequency analysis - extract natural frequencies and mode shapes. Use for vibration analysis and resonance avoidance.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,201 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Modal Analysis
- Key Parameters
- Validation Checklist
- Analytical Comparison (Simple Geometries)
- Troubleshooting
- Related Skills
- Code Patterns
Files
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# Abaqus Modal Analysis Skill
Extract natural frequencies and mode shapes from a structure. Use for vibration analysis, resonance avoidance, and dynamic characterization.
## When to Use This Skill
**Route here when user mentions:**
- "Natural frequency", "modal analysis", "vibration"
- "Resonance", "mode shapes", "eigenvalue"
- "How will it vibrate?", "avoid resonance at X Hz"
- "First mode frequency", "natural frequency of beam/plate"
**Route elsewhere:**
- Forced vibration response → use transient dynamicView the complete source on GitHubabaqus-static-analysis
When your agent uses it
Complete workflow for static structural analysis. Use when analyzing stress, displacement, or reaction forces under constant loads. For strength and stiffness evaluation.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,093 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Workflow Steps
- What to Ask User
- Key Decisions
- Validation Checkpoints
- Troubleshooting
- Feedback Loops
- Code Patterns
Files
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# Abaqus Static Analysis Workflow
Complete workflow for static structural analysis - stress, displacement, and reaction forces under constant loads.
## When to Use This Skill
**Route here when user mentions:**
- "stress analysis", "structural analysis"
- "how much will it deflect", "displacement"
- "is this strong enough", "strength check"
- "factor of safety", "safety factor"
- "reaction forces", "support loads"
- "simulate a load on this part"
View the complete source on GitHubabaqus-thermal-analysis
When your agent uses it
Complete workflow for heat transfer analysis - steady-state and transient thermal. Use when user asks about temperature distribution, conduction, convection, or heat flow.
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
1,177 tokensWhen the skill is activated
Reference documents
111 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Thermal Analysis
- Validation Checklist
- Troubleshooting
- Related Skills
- Code Patterns
Files
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# Abaqus Thermal Analysis Workflow
Heat transfer analysis for steady-state or transient temperature distribution. Use when user needs temperature field without mechanical stress.
## When to Use This Skill
**Route here when user mentions:**
- "Heat transfer analysis", "temperature distribution"
- "How hot will it get?", "thermal analysis"
- "Conduction", "convection", "radiation"
- "Heat sink design", "cooling analysis"
- "Steady-state temperature", "transient heating/cooling"
**Route elsewhere:**View the complete source on GitHubcomposite-curing-simulation
When your agent uses it
Master skill for composite curing simulation with mold contact, friction, temperature, and Model Change springback in Abaqus. Invoke when user asks for curing simulation, springback analysis, composite layup with mold, or UMAT subroutine for composites. Routes to specialized sub-skills.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
2,679 tokensWhen the skill is activated
Reference documents
2,826 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Invoke
- Critical: Mold Constraint vs No-Mold Constraint
- Skill Architecture
- Quick Reference
- Recommended Workflow Chain
- Key Files
- Dataset Generation
- Common Pitfalls
Files
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# Composite Curing Simulation
This is the **master routing skill** for composite material curing simulation. It provides an overview and routes to specialized sub-skills for each aspect of the workflow.
## When to Invoke
- User requests composite curing simulation with mold
- User mentions "固化仿真", "脱模回弹", "模具", "铺层"
- User wants to change ply angles or ply count in a curing model
- User needs to run Abaqus with UMAT for composite materials
- User provides a reference INP with mold/contact/temperature and wants to replicate it
## Critical: Mold Constraint vs No-Mold Constraint
View the complete source on GitHubcuring-steps
When your agent uses it
Configure 4-step curing analysis (vis, rub, glassy, sp) in Abaqus. Invoke when user needs curing step sequence, static step settings, or step-by-step curing process setup.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
710 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# Curing Steps Analysis
## Description
Configure 4-step curing analysis (vis, rub, glassy, sp) in Abaqus. Invoke when user needs curing step sequence, static step settings, or step-by-step curing process setup.
## Content
The composite curing simulation uses 4 steps in sequence, all defined as `*Static` steps with `nlgeom=NO`.
### Step Sequence
#### Step 1: vis (viscous state)
- **Increment control:** 0.1, 1., 1e-05, 0.5View the complete source on GitHubspringback-analysis
When your agent uses it
Configure springback analysis with Model Change for mold removal. Invoke when user needs mold removal, springback step, or Model Change setup.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
551 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# Springback Analysis
## Description
Configure springback analysis with Model Change for mold removal. Invoke when user needs mold removal, springback step, or Model Change setup.
## Content
Springback occurs in the sp (springback) step, which is the 4th and final step of the curing simulation. During this step, the mold/tool is removed and the composite part is allowed to deform freely, constrained only at the Set-2 inner corner.
### Model Change: Remove Contact Pair
The contact pair between the composite surface and the tool surface is removed:
View the complete source on GitHubcomposite-curing
When your agent uses it
Master skill for composite curing simulation with mold contact, friction, temperature, and Model Change springback in Abaqus. Routes to appropriate specialized skills.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
2,175 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Invoke
- Architecture Overview
- Routing Table
- Recommended Chain Order
- Common Routing Scenarios
- Key References
- Common Pitfalls
Files
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# Composite Curing Simulation (Master Router)
This is the master routing skill for composite curing simulation. It does not perform
work directly. Instead, it classifies the user's request and routes to the appropriate
specialized sub-skill within the `composite-curing-simulation` collection.
## When to Invoke
Invoke this skill when the user's request falls into any of the following categories:
- **Curing simulation**: User asks to run or set up a composite curing simulation in Abaqus
- **Springback analysis**: User mentions springback, mold removal, demolding, or `*Model Change`
- **Mold contact**: User needs mold/tool contact geometry, contact pairs, or friction setup
- **Composite layup with mold**: User wants to define or modify a composite layup that interacts with a mold during curingView the complete source on GitHubcuring-job
When your agent uses it
Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Invoke when user needs to create, submit, or monitor curing simulation jobs.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
557 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# Curing Job Execution
## Description
Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Invoke when user needs to create, submit, or monitor curing simulation jobs.
## Content
### Job Creation with UMAT
Create a job from an input file with the UMAT subroutine specified:
```python
from abaqusConstants import *View the complete source on GitHubsocket-bridge
When your agent uses it
Connect to Abaqus CAE via socket bridge for curing simulation. Invoke when user needs to use socket bridge, connect to Abaqus, or execute Python in Abaqus kernel.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
715 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# Socket Bridge Connection
## Description
Connect to Abaqus CAE via socket bridge for curing simulation. Invoke when user needs to use socket bridge, connect to Abaqus, or execute Python in Abaqus kernel.
## Content
### Socket Bridge Overview
The socket bridge provides a TCP connection to Abaqus CAE at `127.0.0.1:48152`, allowing remote execution of Python code in the Abaqus kernel.
### Prerequisites
View the complete source on GitHubcomposite-layup
When your agent uses it
Define composite layup with ply angles, thickness, and count. Invoke when user asks to change ply angles, modify layup, or adjust ply count for curing simulation.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
2,916 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Ply Definition Format
- How to Change Ply Angles
- How to Change Ply Count
- 4-Ply vs 8-Ply Comparison
- Orientation Definition
- Common Pitfalls
Files
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# Composite Layup Definition
This skill defines and modifies the composite layup for curing simulation. It covers ply
angles, ply thickness, ply count, and the orientation system used by the `*Solid Section,
composite` card in Abaqus.
## Ply Definition Format
The composite layup is defined inside the P8 Part using `*Solid Section, composite`. Each
ply is specified on a single data line with five fields:
```
*Solid Section, elset=CompositeLayup-1-1, composite, orientation=Ori-1, stack direction=3, layup=CompositeLayup-1
<thickness>, 3, COM, <angle>, Ply-<N>View the complete source on GitHubcomposite-mesh
When your agent uses it
Generate through-thickness mesh for composite curing simulation. Invoke when user needs C3D8 solid elements, composite mesh, or through-thickness element layout.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
3,756 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Element Type
- Through-Thickness Direction
- 4-Ply Mesh
- 8-Ply Mesh
- In-Plane Mesh
- Element Connectivity Pattern
- Surface Element Sets
- How to Identify Surface Elements from Connectivity
- Mesh Quality Considerations for Curing Simulation
- Common Pitfalls
Files
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# Composite Through-Thickness Mesh
This skill generates the through-thickness mesh for the composite (P8) part in curing
simulation. It covers element type selection, through-thickness discretization, in-plane
mesh layout, surface element set identification, and mesh quality considerations.
## Element Type
The composite part uses **C3D8** elements: 8-node linear brick elements with full
integration.
```
*Element, type=C3D8
1, <n1>, <n2>, <n3>, <n4>, <n5>, <n6>, <n7>, <n8>View the complete source on GitHubmold-geometry
When your agent uses it
Create mold/tool geometry for composite curing simulation. Invoke when user needs to set up mold part, tool surfaces, or mold-composite contact geometry.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
2,025 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Tool Part Structure
- Tool Material
- Tool Section
- Mold Geometry
- Tool Surfaces
- Assembly
- Tool Node Numbering
- Common Pitfalls
Files
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# Mold / Tool Geometry
This skill creates the mold (tool) part for composite curing simulation. The mold is a
separate part in the Abaqus assembly that contacts the composite outer surface during
curing and is removed in the springback step via `*Model Change`.
## Tool Part Structure
The tool is defined as a separate `*Part` block with its own nodes, elements, and sets.
It is independent from the composite (P8) part and has its own node and element numbering
starting from 1.
### Part Definition
View the complete source on GitHubcsv-export
When your agent uses it
Export curing simulation results to CSV with node coordinates and displacements. Invoke when user needs CSV output, data export, or result comparison.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
813 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# CSV Export
## Description
Export curing simulation results to CSV with node coordinates and displacements. Invoke when user needs CSV output, data export, or result comparison.
## Content
### CSV Format
The exported CSV file uses the following column format:
```
Node,X,Y,Z,U1,U2,U3View the complete source on GitHubodb-extraction
When your agent uses it
Extract field outputs from ODB files for curing simulation. Invoke when user needs to read ODB results, get displacement data, or inspect field outputs.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
716 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# ODB Extraction
## Description
Extract field outputs from ODB files for curing simulation. Invoke when user needs to read ODB results, get displacement data, or inspect field outputs.
## Content
### Opening ODB
Open an ODB file in read-only mode:
```python
from abaqusConstants import *View the complete source on GitHubcuring-parameters
When your agent uses it
Reference parameter tables for composite curing simulation. Invoke when user needs curing temperatures, friction coefficients, pressure values, or material constants.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
791 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Content
Files
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# Curing Parameters Reference
## Description
Reference parameter tables for composite curing simulation. Invoke when user needs curing temperatures, friction coefficients, pressure values, or material constants.
## Content
### Complete Parameter Table
| Parameter | vis Step | rub Step | glassy Step | sp Step |
|-----------|----------|----------|-------------|---------|
| Temperature | 150°C | 180°C | 25°C | 25°C |
| Pressure | 0.6 MPa | 0.6 MPa | — | — (removed) |View the complete source on GitHubcuring-bc
When your agent uses it
Define boundary conditions for composite curing simulation: mold contact constraints (TOOL U1=0, U2=0), springback Set-2 constraints, and Model Change demolding. Invoke when setting up BCs, constraints, or boundary conditions for curing models with mold.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
1,489 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Invoke
- Critical: Two Constraint Paradigms
- TOOL Boundary Conditions (P8_mold Only)
- Set-2: Springback Constraint
- Model Change: Demolding Process
- Pressure Boundary Condition
- Boundary Condition Summary Table
- Common Errors
Files
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# Curing Boundary Conditions
This skill defines all boundary conditions for the P8_mold curing model, including the critical distinction between mold-constrained (correct) and ENCASTRE-constrained (incorrect) approaches.
## When to Invoke
- User asks to set up boundary conditions for a curing model
- User mentions "约束", "边界条件", "固支", "模具约束"
- User needs to define Set-2 for springback
- User encounters constraint-related issues (e.g., symmetric deformation)
## Critical: Two Constraint Paradigms
### Correct: Mold Contact Constraint (P8_mold)View the complete source on GitHubcuring-contact
When your agent uses it
Define contact pairs and friction for composite curing simulation: mold-composite contact (S1↔S4+S6), temperature-dependent friction (0.45→0.2→0.169), HARD contact property. Invoke when setting up contact, friction, or mold interaction in curing models.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,428 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Invoke
- Contact Pair Definition
- Contact Interaction Property
- Temperature-Dependent Friction
- HARD Contact Behavior
- Contact in Springback Step (sp)
- Why Contact Creates Asymmetric Springback
- P8_only vs P8_mold Contact Comparison
- Common Errors
Files
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# Curing Contact Setup
Define the frictional contact between the composite (P8-1) and the mold (TOOL-1). This is the physical mechanism that constrains the composite during curing and creates asymmetric springback upon demolding.
## When to Invoke
- User asks to set up contact between composite and mold
- User mentions "接触", "摩擦", "模具接触", "contact pair"
- User needs to change friction coefficients
- User encounters contact-related convergence issues
## Contact Pair Definition
```View the complete source on GitHubcuring-load
When your agent uses it
Define pressure loads for composite curing simulation. Invoke when user needs to apply pressure on composite surface during curing.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
919 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Pressure Application Surface
- Load Definition
- Pressure Application Schedule
- Pressure Removal Summary
- Notes
Files
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# Curing Load Setup
## Description
Define pressure loads for composite curing simulation. Invoke when user needs to apply pressure on composite surface during curing.
## Pressure Application Surface
Pressure is applied on the **inner surface** of the composite, NOT the outer/contact surface.
- **_PickedSurf337** (S2 of composite): Pressure application surface (inner face).
- The contact surface (com-surface, S1) is on the opposite face and is NOT used for pressure application.
### Surface IdentificationView the complete source on GitHubcuring-material
When your agent uses it
Define UMAT material for composite curing and elastic material for mold. Invoke when user needs COM material with UMAT subroutine, TOOL material, or material constants for curing simulation.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
867 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- COM Material (Composite)
- TOOL Material (Mold)
- Notes
Files
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# Curing Material Setup
## Description
Define UMAT material for composite curing and elastic material for mold. Invoke when user needs COM material with UMAT subroutine, TOOL material, or material constants for curing simulation.
## COM Material (Composite)
The composite material uses a user-defined material (UMAT) subroutine to model the curing behavior, including cure kinetics, glass transition, and orthotropic thermal expansion.
```
*Material, name=COM
*Depvar
4,View the complete source on GitHubcuring-temperature
When your agent uses it
Define temperature fields for composite curing simulation. Invoke when user needs temperature initialization, temperature changes, or thermal fields for curing steps.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
1,256 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Initial Conditions
- Temperature in Each Step
- Temperature Schedule Summary
- Temperature as a Predefined Field
- UMAT and Temperature Interaction
- Notes
Files
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# Curing Temperature Setup
## Description
Define temperature fields for composite curing simulation. Invoke when user needs temperature initialization, temperature changes, or thermal fields for curing steps.
## Initial Conditions
The initial temperature is set for all nodes in both instances (tool-1 and P8-1) at the start of the analysis:
```
*Initial Conditions, type=TEMPERATURE
_PickedSet333, 25.
```View the complete source on GitHubabaqus
When your agent uses it
Master skill for Abaqus FEA scripting. Use for any finite element analysis, topology optimization, or Abaqus Python scripting task. Routes to appropriate specialized skills.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,523 tokensWhen the skill is activated
Reference documents
102 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Routing Guide: User Intent to Skill
- Decision Tables
- What to Ask If Unclear
- Required Information by Analysis Type
- License Limitations
- Units System (All Skills)
- Running Scripts
- References
Files
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# Abaqus Master Skill
Master orchestrator for all Abaqus FEA tasks. Routes requests to specialized skills based on user intent.
## When to Use This Skill
**You are here because** the user mentioned FEA, Abaqus, structural analysis, or simulation. Your job is to:
1. Understand what the user wants
2. Route to the appropriate specialized skill
3. Ask clarifying questions if unclear
## Routing Guide: User Intent to Skill
### Analysis Workflows (Complete End-to-End)View the complete source on GitHubabaqus-export
When your agent uses it
Export Abaqus geometry and results. Use when user mentions exporting to STL, STEP, CSV, or generating input files for external use.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
910 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow
- Troubleshooting
- Code Patterns
Files
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# Abaqus Export Skill
Export geometry and results from Abaqus to external formats for 3D printing, CAD exchange, data analysis, or archival.
## When to Use This Skill
**Route here when user mentions:**
- "Export to STL" / "Convert to STL" / "3D printing"
- "Save as STEP" / "Export to CAD"
- "Generate input file" / "Write INP"
- "Export results to CSV" / "Export to Excel"
- "Save the mesh" / "Extract mesh data"
- "Export deformed shape" / "Export topology result"
View the complete source on GitHubabaqus-job
When your agent uses it
Create and manage Abaqus jobs. Use when user asks to run the analysis, submit the job, execute the model, or generate input file.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
837 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Running an Analysis
- Key Decisions
- What to Ask User
- Output Files
- Troubleshooting
- Validation Checklist
- Code Patterns
Files
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# Abaqus Job Skill
This skill creates, submits, and monitors Abaqus analysis jobs. Use it when the model is ready to run.
## When to Use This Skill
**Route here when user says:**
- "Run the analysis", "Submit the job", "Execute the model"
- "Generate input file", "Create INP file"
- "Run in parallel", "Check job status"
**Route elsewhere:**
- Reading results after completion → `/abaqus-odb`
- Setting up the model → use other module skillsView the complete source on GitHubabaqus-geometry
When your agent uses it
Create and manipulate Abaqus geometry - parts, sketches, extrusions, CAD import. Use for any geometry creation task including box, cylinder, or STEP/IGES import.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,048 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow
- Finding Entities
- Common Pitfalls
- Validation Checklist
- Units
- Code Patterns
Files
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# Abaqus Geometry Skill
Create parts, assemblies, and import CAD files for finite element analysis.
## When to Use This Skill
**Route here when user mentions:**
- "create a box/beam/plate/bracket"
- "draw geometry", "make a cylinder/tube"
- "import STEP/IGES file"
- "extrude", "revolve", "create assembly"
- "position the parts", "build a component"
**Route elsewhere:**View the complete source on GitHubabaqus-interaction
When your agent uses it
Define contact and interactions - contact pairs, tie constraints, connectors. Use when user mentions contact, friction, tie, parts touching, or bonded surfaces.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,105 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Master/Slave Selection Guidelines
- Workflow: Setting Up Interactions
- Common Gotchas
- Validation Checklist
- Code Patterns
Files
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# Abaqus Interaction Skill
Define contact pairs, tie constraints, coupling, and connectors between parts in an assembly.
## When to Use This Skill
**Route here when user mentions:**
- "Contact between surfaces"
- "Friction", "sliding contact", "frictionless"
- "Tie constraint", "bonded surfaces", "welded"
- "Parts touching", "parts can separate"
- "Coupling", "connector", "spring element"
- "Join different meshes"
View the complete source on GitHubabaqus-material
When your agent uses it
Define material properties for FEA models. Use when user mentions steel, aluminum, Young's modulus, elastic, plastic, density, or asks about material properties.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
1,128 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow
- Validation Checklist
- Troubleshooting
- Code Patterns
Files
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# Abaqus Material Skill
Define material properties and assign sections to parts. This skill handles elastic, plastic, thermal, and composite material definitions.
## When to Use This Skill
**Route here when user mentions:**
- "steel", "aluminum", "titanium", or other material names
- "Young's modulus", "elastic", "Poisson's ratio"
- "plastic", "yielding", "hardening"
- "density" for gravity/dynamics
- "thermal conductivity", "expansion"
- "assign material to part"
View the complete source on GitHubabaqus-mesh
When your agent uses it
Generate finite element meshes. Use when user mentions mesh, elements, nodes, refine mesh, mesh size, or asks about element types like C3D8R, C3D10, S4R.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,318 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Generating a Mesh
- Element Type Reference
- Mesh Quality Guidelines
- Troubleshooting
- Code Patterns
Files
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# Abaqus Mesh Skill
Generate finite element meshes for Abaqus models. Discretizes geometry into elements and nodes for analysis.
## When to Use This Skill
**Route here when user mentions:**
- "Mesh the part", "generate mesh"
- "Element size", "mesh size", "refine mesh"
- "Element type", "C3D8R", "C3D10", "S4R"
- "Too many nodes", "Learning Edition limit"
- "Mesh quality", "check elements"
**Route elsewhere:**View the complete source on GitHubabaqus-optimization
When your agent uses it
Configure Tosca optimization. Use when user mentions design response, objective function, optimization constraint, or SIMP penalty. Base module for topology/shape optimization.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
978 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Prerequisites
- Workflow: Setting Up Optimization
- Key Parameters
- Validation Checklist
- Troubleshooting
- Code Patterns
Files
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# Abaqus Optimization Skill
This skill configures optimization tasks in Abaqus. It's the **base module** - for complete workflows, route to `/abaqus-topology-optimization` or `/abaqus-shape-optimization`.
## When to Use This Skill
**Route here when user mentions:**
- "design response", "objective function", "optimization constraint"
- "SIMP penalty", "material interpolation"
- Low-level optimization setup (not complete workflows)
**Route elsewhere:**
- Complete topology optimization workflow → `/abaqus-topology-optimization`
- Complete shape optimization workflow → `/abaqus-shape-optimization`View the complete source on GitHubabaqus-shape-optimization
When your agent uses it
Optimize fillet/notch geometry. Use when user mentions stress concentration, fillet optimization, reshaping surfaces, or reducing peak stress. Moves surfaces only.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,079 tokensWhen the skill is activated
Reference documents
114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Shape vs Topology Optimization
- Prerequisites
- Workflow: Shape Optimization
- Key Parameters
- What to Ask User
- Validation Checklist
- Post-Processing
- Troubleshooting
- Code Patterns
- Related Skills
Files
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# Abaqus Shape Optimization Skill
Optimize surface geometry to reduce stress concentrations. Shape optimization moves existing surfaces without adding or removing material.
## When to Use This Skill
**Route here when user mentions:**
- "stress concentration", "reduce peak stress"
- "fillet optimization", "optimize fillet radius"
- "reshape surface", "smooth geometry"
- "improve fatigue life", "notch optimization"
**Route elsewhere:**
- Adding/removing material (holes, organic forms) → `/abaqus-topology-optimization`View the complete source on GitHubabaqus-topology-optimization
When your agent uses it
Complete workflow for topology optimization using Tosca. Use to minimize weight while maintaining stiffness. Requires full Abaqus license (not Learning Edition).
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,099 tokensWhen the skill is activated
Reference documents
114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Important: License Required
- Prerequisites
- Workflow Steps
- Key Decisions
- What to Ask User
- Validation
- Troubleshooting
- Code Patterns
- Related Skills
Files
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# Abaqus Topology Optimization Workflow
Complete workflow for topology optimization - determining optimal material distribution to minimize weight while maintaining structural performance.
## When to Use This Skill
**Triggers:** topology optimization, minimize weight, lightweight design, organic structure, generative design, where to remove material, material efficiency, design for additive
**USE for:** Minimize weight while maintaining stiffness, maximize stiffness for given weight, generate organic load-carrying structures
**Do NOT use for:** Shape optimization (surface only) -> `/abaqus-shape-optimization`, Learning Edition users -> Tosca requires full license
## Important: License Required
View the complete source on GitHubabaqus-odb
When your agent uses it
Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
878 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow
- Common Tasks
- Troubleshooting
- Code Patterns
Files
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# Abaqus ODB Skill
This skill reads and extracts analysis results from Abaqus ODB files.
## When to Use This Skill
**Route here when user mentions:**
- "What is the maximum stress?", "extract displacement"
- "Get reaction forces", "post-process the ODB"
- "Export results to CSV", "what are the eigenfrequencies?"
**Route elsewhere:**
- Running the analysis → `/abaqus-job`
- Configuring what output to save → `/abaqus-output`View the complete source on GitHubfea-structural
When your agent uses it
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
1,349 tokensWhen the skill is activated
Reference documents
351 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Capabilities
- Usage Guidelines
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
Files
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# Finite Element Analysis Skill
## Purpose
The Finite Element Analysis skill provides deep integration with FEA tools for structural simulation, enabling systematic setup, execution, and post-processing of finite element models across static, dynamic, and nonlinear analysis domains.
## Capabilities
- ANSYS Mechanical, Abaqus, NASTRAN model setup and execution
- Mesh generation strategies and quality assessment
- Element type selection and convergence studies
- Boundary condition specification and load case management
- Linear and nonlinear static analysis configuration
- Results post-processing and margin of safety calculationView the complete source on GitHubfenics-fem
When your agent uses it
Use this Skill to solve PDEs with the finite element method using FEniCS/dolfinx: weak form formulation, mesh generation with gmsh, Poisson/elasticity problems, boundary conditions, and paraview export.
What it loads into context
Frontmatter
219 tokensAlways available to the agent
SKILL.md
6,002 tokensWhen the skill is activated
Reference documents
115 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Background & Key Concepts
- Environment Setup
- Core Workflow
- Advanced Usage
- Troubleshooting
- External Resources
- Examples
- Changelog
Files
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# FEniCS Finite Element Method for PDEs
> **TL;DR** — Solve partial differential equations with the Finite Element Method (FEM)
> using FEniCS/dolfinx. Derive the weak form, generate meshes with gmsh, apply
> Dirichlet/Neumann boundary conditions, solve Poisson or elasticity problems,
> and export results to XDMF/VTK for ParaView.
---
## When to Use
Use this Skill when you need to:
- Solve elliptic, parabolic, or hyperbolic PDEs on complex geometriesView the complete source on GitHubabaqus-amplitude
When your agent uses it
Define time-varying amplitudes. Use when user mentions ramp, time-varying, cyclic, pulse, or gradually increasing loads. Does NOT handle static constant loads.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Workflow: Defining Amplitudes
- Key Decisions
- What to Ask User
- Validation Checklist
- Troubleshooting
- Code Patterns
Files
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# Abaqus Amplitude Skill
This skill defines time-varying load and boundary condition profiles in Abaqus. Amplitudes act as multipliers that scale loads/BCs over time.
## When to Use This Skill
**Route here when user mentions:**
- "Gradually increase the load", "ramp up the force"
- "Cyclic loading", "sinusoidal excitation"
- "Pulse load", "impulse", "impact loading"
- "Time-varying boundary condition", "loading history"
- "Smooth transition", "avoid sudden load application"
- "Earthquake input", "harmonic excitation"
View the complete source on GitHubabaqus-bc
When your agent uses it
Define boundary conditions - fixed supports, displacements, symmetry. Use when user mentions fixed, pinned, clamped, supported, or constrained. Does NOT handle loads or forces.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,219 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Validation Checklist
- Common Mistakes
- Troubleshooting
- Code Patterns
Files
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# Abaqus Boundary Conditions Skill
This skill defines boundary conditions (BCs) in Abaqus models. BCs constrain motion and prevent rigid body movement.
## When to Use This Skill
**Route here when user mentions:**
- "fixed", "encastre", "clamped", "welded"
- "pinned", "hinged", "simply supported"
- "roller", "sliding support"
- "symmetry", "half model", "quarter model"
- "constrain", "prevent movement"
- "prescribed displacement", "move by X mm"
- "rigid body motion error"View the complete source on GitHubabaqus-docs
When your agent uses it
Download and manage abqpy API documentation. Use when user asks about API documentation, API reference, or downloading Abaqus docs.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
741 tokensWhen the skill is activated
Reference documents
108 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Documentation Location
- Module Index
- How to Use
- Refreshing Documentation
- Documentation Sources
- Code Patterns
Files
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# Abaqus Documentation Skill
Navigate and access Abaqus Python API documentation for parameter lookups and method reference.
## When to Use This Skill
**Route here when user asks:**
- "Where is the API documentation?"
- "What parameters does X take?"
- "What methods are available for Material/Part/Mesh?"
- "Show me the API reference for..."
- "Download/refresh the docs"
**Route elsewhere:**View the complete source on GitHubabaqus-field
When your agent uses it
Define initial conditions and predefined fields. Use when user mentions initial temperature, pre-stress, residual stress, or import from previous analysis.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
906 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow: Setting Up Fields
- Sequential Thermal-Structural Workflow
- Key Parameters
- Validation Checklist
- Troubleshooting
- Code Patterns
Files
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# Abaqus Field Skill
This skill defines initial conditions and predefined fields in Abaqus. Use it to set starting states or import results from previous analyses.
## When to Use This Skill
**Route here when user mentions:**
- "initial temperature", "starting temperature", "the part starts at..."
- "pre-stress", "residual stress", "initial stress"
- "initial velocity" (for impact/explicit dynamics)
- "import temperature from thermal analysis"
- "transfer results from previous analysis"
- "bolt pre-tension", "bolt preload"
View the complete source on GitHubabaqus-load
When your agent uses it
Apply forces and pressures to structures. Use when user asks to apply a force, add pressure, put a load on, or mentions gravity, point loads, or distributed forces.
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,138 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- Sign Conventions
- What to Ask User
- Direction Specification
- Common Scenarios
- Time-Varying Loads
- Modifying Loads Across Steps
- Troubleshooting
- Validation Checklist
- Code Patterns
Files
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# Abaqus Load Skill
Apply mechanical and thermal loads to FEA models - forces, pressures, gravity, and heat flux.
## When to Use This Skill
**Route here when user mentions:**
- "Apply a force", "add pressure", "put a load on"
- "Gravity", "self-weight", "body force"
- "Point load", "distributed load", "traction"
- "Heat flux", "thermal load"
- "Force in the X/Y/Z direction"
**Route elsewhere:**View the complete source on GitHubabaqus-output
When your agent uses it
Configure output requests - field outputs, history outputs. Use when user asks what results to save, output variables, reduce output file size, or history output.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
844 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Key Decisions
- What to Ask User
- Workflow: Configuring Output
- Validation Checklist
- Troubleshooting
- Code Patterns
Files
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# Abaqus Output Skill
Configure what results to save from Abaqus analyses. Controls field outputs (full-field data for contour plots) and history outputs (time series at specific points).
## When to Use This Skill
**Route here when user mentions:**
- "What results should I save?" / "Output variables"
- "Track displacement over time" / "History output"
- "ODB file too large" / "Reduce output"
- "Monitor a specific node"
**Route elsewhere:**
- Extracting/reading results from ODB → `/abaqus-odb`View the complete source on GitHubabaqus-step
When your agent uses it
Define analysis steps and procedures. Use when user mentions static analysis, dynamic step, frequency analysis, heat transfer step, or asks about analysis type, time increments, or nlgeom.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,166 tokensWhen the skill is activated
Reference documents
105 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Workflow: Creating Analysis Steps
- Key Parameters
- Special Considerations
- Troubleshooting
- Validation Checklist
- Code Patterns
Files
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# Abaqus Step Skill
This skill defines analysis steps and procedures in Abaqus. Steps control what physics are solved and how the solution proceeds.
## When to Use This Skill
**Route here when user mentions:**
- "static analysis", "dynamic step", "frequency analysis"
- "heat transfer step", "thermal step", "transient analysis"
- "analysis type", "time increments", "nlgeom"
- "convergence issues", "increment size", "time step"
- "multi-step analysis", "sequential loading"
- "buckling analysis", "modal analysis"
- "impact simulation", "crash analysis"View the complete source on GitHubcalculix-fem
When your agent uses it
Workflow skill for driving the CalculiX MCP server over .inp decks — model inspection, in-place design-variable edits, ccx solve, .dat result reading, and result_mesh.json export for the viewer. Use when an agent must run an open-source linear-static FEM analysis on CalculiX, tune section/material/load parameters, or produce a viewer-renderable result.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
622 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Workflow
- Rules
- Example
Files
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# CalculiX FEM
CalculiX (`ccx`) is an open-source FEM solver (GPLv2, no license). It reads
Abaqus-style `.inp` decks and writes text `.dat` results plus `.frd` field output.
`ccx` returns exit code 0 even on `*ERROR`, so never judge success by the exit
code — the solver layer checks stdout for `*ERROR` and requires a data row in the
`.sta`.
## When to Use
Use this skill when an agent must run an open-source linear-static FEA analysis on
CalculiX: parse/inspect a `.inp` deck, tune section/material/load parameters, solve
with `ccx`, read `.dat` results, or export a viewer-renderable result. For commercial
solvers (Abaqus/Ansys), use those solvers' own skills instead.View the complete source on GitHubcalculix-modal-analysis
When your agent uses it
Workflow skill for CalculiX modal analysis (*FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP. read_results returns the frequency table; export_results with mode=N renders that mode shape in the browser viewer. Use when an agent must extract natural frequencies, check resonance margins, or visualize mode shapes on an open-source solver.
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
788 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Workflow
- Rules
- Example
Files
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# CalculiX Modal Analysis
Free-vibration eigenanalysis on a CalculiX deck: a `*FREQUENCY` step requests N
eigenpairs; ccx prints the eigenvalue table and per-mode eigenvectors to the
`.dat`, so both frequencies and mode shapes parse from text (no `.frd` needed).
## When to Use
Use when an agent must extract natural frequencies, check resonance/vibration
margins, or visualize mode shapes on a CalculiX model. Driven by the same MCP
tools as static runs (`run_solver` → `read_results` → `export_results`).
Not for: static stress/deflection (use `calculix-fem`), transient/dynamic
response (not yet supported), or sizing optimization (`calculix-sizing-optimization`).View the complete source on GitHubcalculix-sizing-optimization
When your agent uses it
Workflow skill for two-stage sizing/parameter optimization on a CalculiX shell or beam deck via the optimize_structure tool — Latin Hypercube sweep plus coordinate descent to minimize mass subject to stress/displacement or natural-frequency constraints by tuning scalar section/material/load cards. Use when an agent must lighten a CalculiX shell or beam model while keeping stress and deflection within limits, or must thin a deck until its first modes clear a resonance floor (freq_1_hz constraint on a *FREQUENCY deck).
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
1,244 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Workflow
- Rules
- Example
Files
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# CalculiX Sizing Optimization
Two-stage **sizing/parameter** optimization: minimize mass subject to stress,
displacement, or natural-frequency constraints by editing scalar design
variables in place (shell thickness, beam section, material E/nu/density, load
magnitude). The mesh and geometry never change — only scalar cards.
This is **sizing optimization, not topology optimization**. It thins sections;
it does not redistribute material in space.
## When to Use
Use when an agent must lighten a CalculiX **shell or beam** model while keeping
von Mises stress and displacement within limits (static deck), or must lightenView the complete source on GitHubcomsol-motor-nvh-evidence
When your agent uses it
Evidence-first COMSOL Java API and batch workflow for permanent-magnet motor NVH. Use when Codex must build, resume, solve, validate, or report a 2D motor model that couples rotating magnetic machinery, Maxwell-force harmonics, structural eigenmodes, pressure acoustics, acoustic-structure interaction, far-field SPL, or Campbell sweeps; also use when converting an existing motor NVH prompt or run into public-safe scripts, checkpoints, exports, and acceptance evidence.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,115 tokensWhen the skill is activated
Reference documents
2,457 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Required context
- Execution sequence
- Checkpoint contract
- Modeling guardrails
- Failure policy
- Public-safe output
Scripts executed separately
scripts/New-ComsolMotorNvhRun.ps1scripts/validate_nvh_exports.py
Files
SKILL.mdcore5,251 bytesSKILL.mdcore5,251 bytesSKILL.mdcore5,251 bytesagents/openai.yamlasset236 bytesreferences/evidence-gates.mddoc4,696 bytesreferences/model-contract.mddoc6,699 bytesscripts/New-ComsolMotorNvhRun.ps1runs2,808 bytesscripts/validate_nvh_exports.pyruns4,352 bytes
Read SKILL.md
# COMSOL Motor NVH Evidence
Execute a checkpointed motor-NVH workflow and prove each completed stage with solver-native evidence. Treat reference models as read-only fact sources, never as the target model.
## Required context
1. Read `MCP/COMSOL/README.md` and inspect only the files needed for the selected COMSOL backend.
2. Use the repository COMSOL MCP for installation detection, MPh session startup, model inspection, parameter changes, study execution, evaluation, export, and save-copy operations. Use `comsolcompile` plus COMSOL batch only when the independent Java API build requires capabilities not exposed by typed MCP tools.
3. Read [references/model-contract.md](references/model-contract.md) before creating geometry, physics, studies, or result nodes.
4. Read [references/evidence-gates.md](references/evidence-gates.md) before solving or claiming success.
## Execution sequence
1. Inspect the environment without writing to reference models.View the complete source on GitHubfep-agent-hub
When your agent uses it
Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Use for FEP repository setup or diagnostics; CAD-to-mesh-to-solver-to-postprocessing automation; steady or transient heat transfer; 2D harmonic transformer induction; 2D plane-stress beams; 2D steady laminar channel flow; 2D transient eddy-current and Lenz-law studies; regression, acceptance reports, or scientifically honest CAE videos built from these verified profiles.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
3,451 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Establish the run contract
- Select a verified profile
- Orchestrate the native chain
- Enforce evidence and claims
- Use repository regression scripts
- Block unsupported extensions
Files
SKILL.mdcore5,688 bytesagents/openai.yamlasset236 bytesreferences/case-catalog.mddoc5,327 bytesreferences/orchestration.mddoc4,378 bytesreferences/validation-and-claims.mddoc4,917 bytes
Read SKILL.md
# FEP Agent Hub
Run the three MCP servers as independent stages joined by manifests, semantic IDs, native solver artifacts, and explicit physics gates. Preserve auditability over convenience.
## Establish the run contract
1. Locate the FEP Agent Hub repository and read its `AGENTS.md`, root README, relevant prompt, and relevant report before changing a workflow.
2. Resolve native executables through `OPEN_CAE_CONFIG`, environment variables, or `configs/open-cae.local.toml`. Treat public paths as placeholders.
3. Choose a unique project name beneath the configured workspace. Keep FCStd, STEP, mesh, SIF, logs, VTU/PVD, images, tables, and evidence inside that project.
4. Probe all three MCP environments before modeling. Stop if a required native executable or server is unavailable.
5. Never expose arbitrary shell, Python, executable, macro, MATC, or raw SIF input. Use only fixed runners, structured parameters, and allowlisted analysis profiles.
## Select a verified profile
View the complete source on GitHublammps-evidence-md
When your agent uses it
Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks. Use when Codex must prepare, run, diagnose, or report a LAMMPS materials simulation or hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
422 tokensWhen the skill is activated
Reference documents
164 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Start
- Build and Run
- Finish
Files
SKILL.mdcore1,904 bytesSKILL.mdcore1,904 bytesagents/openai.yamlasset205 bytesreferences/validation.mddoc889 bytes
Read SKILL.md
# LAMMPS Evidence MD
Keep the input deck, potential provenance, random seeds, executable build, log,
trajectory, and postprocessing chain traceable.
## Start
```powershell
ai-cae-toolbox context-scope --solver lammps
ai-cae-toolbox bridge-plan --solver lammps --objective "<objective>"
ai-cae-toolbox create-run --solver lammps --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver lammps --run-dir <run-dir>
```
View the complete source on GitHubovito-evidence-postprocessing
When your agent uses it
Evidence-first OVITO atomistic postprocessing for LAMMPS trajectories and other particle data, including pipeline construction, modifiers, coloring, clipping, camera setup, images, animations, tables, and state files. Use when Codex must inspect or present molecular-dynamics results while distinguishing OVITO Basic GUI availability from ovitos/external Python automation and separating rendering evidence from upstream solver evidence.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
385 tokensWhen the skill is activated
Reference documents
145 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Start
- Build the Pipeline
- Finish
Files
SKILL.mdcore1,871 bytesSKILL.mdcore1,871 bytesagents/openai.yamlasset234 bytesreferences/render-evidence.mddoc756 bytes
Read SKILL.md
# OVITO Evidence Postprocessing
OVITO explains and renders atomistic data; it does not prove that the upstream
simulation was physically correct.
## Start
```powershell
ai-cae-toolbox context-scope --solver ovito
ai-cae-toolbox bridge-plan --solver ovito --objective "<objective>"
ai-cae-toolbox create-run --solver ovito --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver ovito --run-dir <run-dir>
```
View the complete source on GitHubperidigm-evidence-fracture
When your agent uses it
Clarify Peridigm simulation requirements, preserve confirmed physical intent, call evidence-producing CLI or MCP tools, and interpret actual solver results. Executable profiles cover two-point elastic verification and a synthetic precracked tensile damage demonstration; other physics require new qualification.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
684 tokensWhen the skill is activated
Reference documents
1,969 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Clarify and confirm
- Execute and diagnose
- Finish
Files
SKILL.mdcore3,435 bytesmetadata.jsonasset740 bytesreferences/capabilities.mddoc1,922 bytesreferences/fracture.mddoc4,847 bytesreferences/validation.mddoc2,333 bytes
Read SKILL.md
# Peridigm evidence workflow
The AI client supplies language understanding. The deterministic core supplies context state, compilation, execution and checks; neither silently invokes another model nor treats a successful process as physical validation.
## Clarify and confirm
1. Call `peridigm_doctor` and `peridigm_templates` before promising a supported simulation.
2. Call `peridigm_start_context(request, actor)` with the actual request. Retain its `run_id`.
3. Ask the returned questions, grouping at most three important questions per turn. Distinguish missing facts from facts inferable from an explicitly accepted template. Do not invent steel, concrete, damage or contact parameters.
4. Pass the actual answer to `peridigm_answer_context`. Selecting `compression-two-point-v1` or `notched-tension-damage-v1` returns its complete synthetic parameters and confirmation hash. Record whether confirmation comes from the human or an AI operator acting within explicit delegation; never label a scripted test or operator answer as a human response.
5. Submit the returned `confirm_spec_sha256` only after review. If the user changes the problem, start a new specification. Preserve the old one.
For CLI use `pd-agent start --json '{"request":"..."}'`, then `answer`, `validate`, `submit`, `status`, `log`, `repair`, `collect`, and `report`. CLI and MCP share `core.py`. The project-local launcher sets the machine config; do not embed server paths or credentials in reusable instructions.
View the complete source on GitHubSkills included
- cfx-mcp-tools
- ansys-fluent-mcp
- cst-runtime-cli
- cst-runtime-optimization
- adams-evidence-mbd
- aedt-evidence-electromagnetics
- ansys-mechanical-evidence-structural
- ansys-structural-workbench
- run-fluent-autoclave
- cst-simulation-workflow
- cylinder-o-grid
- abaqus-contact-analysis
- abaqus-coupled-analysis
- abaqus-dynamic-analysis
- abaqus-fatigue-analysis
- abaqus-modal-analysis
- abaqus-static-analysis
- abaqus-thermal-analysis
- composite-curing-simulation
- curing-steps
- springback-analysis
- composite-curing
- curing-job
- socket-bridge
- composite-layup
- composite-mesh
- mold-geometry
- csv-export
- odb-extraction
- curing-parameters
- curing-bc
- curing-contact
- curing-load
- curing-material
- curing-temperature
- abaqus
- abaqus-export
- abaqus-job
- abaqus-geometry
- abaqus-interaction
- abaqus-material
- abaqus-mesh
- abaqus-optimization
- abaqus-shape-optimization
- abaqus-topology-optimization
- abaqus-odb
- fea-structural
- fenics-fem
- abaqus-amplitude
- abaqus-bc
- abaqus-docs
- abaqus-field
- abaqus-load
- abaqus-output
- abaqus-step
- calculix-fem
- calculix-modal-analysis
- calculix-sizing-optimization
- comsol-motor-nvh-evidence
- fep-agent-hub
- lammps-evidence-md
- ovito-evidence-postprocessing
- peridigm-evidence-fracture
Repository facts
- License
- MIT
- Created
- Apr 27, 2026
- Last pushed
- Oct 27, 2026
- Forks
- 161
- Open issues
- 7
- Project activity
- Active
Rank over the last 12 weeks
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Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 119 notes
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MCP/Ansys/PyAnsys/pyfluent-mcp/src/ansys/fluent/mcp/solve/skills/__init__.py
MCP/CST/vendor/cst-runtime-cli/skills/cst-runtime-cli/references/setup_guide.md
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CST 2013 版对象树,与 2026 基本兼容: - `http://www.mweda.com/cst/cst2013/mergedProjects/VBA_Help_MWS/special_vbaobjects/special_vbaobjects_vbaobjects.htm` - Network accessline 107
- `http://www.mweda.com/cst/cst2013/mergedProjects/VBA_Help_MWS/special_vbaobjects/special_vbaobjects_vbaobjects.htm` - Dangerous shell operationline 287
exec(import_line, globals())
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- Name: abaqus-contact-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-contact-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-contact-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-contact-analysis
Skill/abaqus/analysis/abaqus-contact-analysis/metadata.json
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"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-contact-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-contact-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-contact-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-contact-analysis/SKILL.md", "permission_note": "Restricted or unknown - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-contact-analysis/SKILL.md",
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"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-coupled-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-coupled-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-coupled-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-coupled-analysis/SKILL.md", "permission_note": "Restricted or unknown - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-coupled-analysis/SKILL.md",
Skill/abaqus/analysis/abaqus-dynamic-analysis/UPSTREAM.md
- Network accessline 3
- Name: abaqus-dynamic-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-dynamic-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-dynamic-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-dynamic-analysis
Skill/abaqus/analysis/abaqus-dynamic-analysis/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-dynamic-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-dynamic-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-dynamic-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-dynamic-analysis/SKILL.md", "permission_note": "Restricted or unknown - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-dynamic-analysis/SKILL.md",
Skill/abaqus/analysis/abaqus-fatigue-analysis/UPSTREAM.md
- Network accessline 3
- Name: abaqus-fatigue-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-fatigue-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-fatigue-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-fatigue-analysis
Skill/abaqus/analysis/abaqus-fatigue-analysis/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-fatigue-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-fatigue-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-fatigue-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-fatigue-analysis/SKILL.md", "permission_note": "Restricted or unknown - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-fatigue-analysis/SKILL.md",
Skill/abaqus/analysis/abaqus-modal-analysis/UPSTREAM.md
- Network accessline 3
- Name: abaqus-modal-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-modal-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-modal-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-modal-analysis
Skill/abaqus/analysis/abaqus-modal-analysis/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-modal-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-modal-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-modal-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-modal-analysis/SKILL.md", "permission_note": "Restricted or unknown li - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-modal-analysis/SKILL.md",
Skill/abaqus/analysis/abaqus-static-analysis/UPSTREAM.md
- Network accessline 3
- Name: abaqus-static-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-static-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-static-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-static-analysis
Skill/abaqus/analysis/abaqus-static-analysis/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-static-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-static-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-static-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-static-analysis/SKILL.md", "permission_note": "Restricted or unknown l - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-static-analysis/SKILL.md",
Skill/abaqus/analysis/abaqus-thermal-analysis/UPSTREAM.md
- Network accessline 3
- Name: abaqus-thermal-analysis - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-thermal-analysis - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-thermal-analysis - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-thermal-analysis
Skill/abaqus/analysis/abaqus-thermal-analysis/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-thermal-analysis/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-thermal-analysis/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-thermal-analysis/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-thermal-analysis/SKILL.md", "permission_note": "Restricted or unknown - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-thermal-analysis/SKILL.md",
Skill/abaqus/core/abaqus/SKILL.md
- Broad permissionsline 1
Bash(uv:*)
Skill/abaqus/core/abaqus/UPSTREAM.md
- Network accessline 3
- Name: abaqus - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus
Skill/abaqus/core/abaqus/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus/SKILL.md", "permission_note": "Restricted or unknown license. Do not t - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus/SKILL.md",
Skill/abaqus/execution/abaqus-export/UPSTREAM.md
- Network accessline 3
- Name: abaqus-export - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-export - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-export - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-export
Skill/abaqus/execution/abaqus-export/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-export/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-export/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-export/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-export/SKILL.md", "permission_note": "Restricted or unknown license. D - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-export/SKILL.md",
Skill/abaqus/execution/abaqus-job/UPSTREAM.md
- Network accessline 3
- Name: abaqus-job - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-job - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-job - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-job
Skill/abaqus/execution/abaqus-job/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-job/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-job/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-job/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-job/SKILL.md", "permission_note": "Restricted or unknown license. Do n - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-job/SKILL.md",
Skill/abaqus/modeling/abaqus-geometry/UPSTREAM.md
- Network accessline 3
- Name: abaqus-geometry - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-geometry - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-geometry - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-geometry
Skill/abaqus/modeling/abaqus-geometry/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-geometry/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-geometry/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-geometry/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-geometry/SKILL.md", "permission_note": "Restricted or unknown license. - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-geometry/SKILL.md",
Skill/abaqus/modeling/abaqus-interaction/UPSTREAM.md
- Network accessline 3
- Name: abaqus-interaction - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-interaction - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-interaction - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-interaction
Skill/abaqus/modeling/abaqus-interaction/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-interaction/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-interaction/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-interaction/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-interaction/SKILL.md", "permission_note": "Restricted or unknown licen - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-interaction/SKILL.md",
Skill/abaqus/modeling/abaqus-material/UPSTREAM.md
- Network accessline 3
- Name: abaqus-material - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-material - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-material - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-material
Skill/abaqus/modeling/abaqus-material/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-material/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-material/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-material/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-material/SKILL.md", "permission_note": "Restricted or unknown license. - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-material/SKILL.md",
Skill/abaqus/modeling/abaqus-mesh/UPSTREAM.md
- Network accessline 3
- Name: abaqus-mesh - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-mesh - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-mesh - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-mesh
Skill/abaqus/modeling/abaqus-mesh/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-mesh/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-mesh/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-mesh/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-mesh/SKILL.md", "permission_note": "Restricted or unknown license. Do - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-mesh/SKILL.md",
Skill/abaqus/optimization/abaqus-optimization/UPSTREAM.md
- Network accessline 3
- Name: abaqus-optimization - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-optimization - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-optimization - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-optimization
Skill/abaqus/optimization/abaqus-optimization/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-optimization/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-optimization/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-optimization/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-optimization/SKILL.md", "permission_note": "Restricted or unknown lice - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-optimization/SKILL.md",
Skill/abaqus/optimization/abaqus-shape-optimization/UPSTREAM.md
- Network accessline 3
- Name: abaqus-shape-optimization - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-shape-optimization - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-shape-optimization - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-shape-optimization
Skill/abaqus/optimization/abaqus-shape-optimization/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-shape-optimization/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-shape-optimization/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-shape-optimization/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-shape-optimization/SKILL.md", "permission_note": "Restricted or unknow - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-shape-optimization/SKILL.md",
Skill/abaqus/optimization/abaqus-topology-optimization/UPSTREAM.md
- Network accessline 3
- Name: abaqus-topology-optimization - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-topology-optimization - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-topology-optimization - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-topology-optimization
Skill/abaqus/optimization/abaqus-topology-optimization/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-topology-optimization/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-topology-optimization/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-topology-optimization/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-topology-optimization/SKILL.md", "permission_note": "Restricted or unk - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-topology-optimization/SKILL.md",
Skill/abaqus/postprocessing/abaqus-odb/SKILL.md
- Broad permissionsline 1
Bash(python:*)
Skill/abaqus/postprocessing/abaqus-odb/UPSTREAM.md
- Network accessline 3
- Name: abaqus-odb - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-odb - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-odb - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-odb
Skill/abaqus/postprocessing/abaqus-odb/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-odb/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-odb/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-odb/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-odb/SKILL.md", "permission_note": "Restricted or unknown license. Do n - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-odb/SKILL.md",
Skill/abaqus/reference/fea-structural/SKILL.md
- Broad permissionsline 1
Bash
Skill/abaqus/reference/fea-structural/UPSTREAM.md
- Network accessline 3
- Name: fea-structural - Repository: https://github.com/a5c-ai/babysitter - Network accessline 4
- Repository: https://github.com/a5c-ai/babysitter - Network accessline 5
- Upstream path: library/specializations/domains/science/mechanical-engineering/skills/fea-structural - Source URL: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mechanical-engineering/skills/fea-str - Network accessline 6
- Source URL: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mechanical-engineering/skills/fea-structural
Skill/abaqus/reference/fenics-fem/SKILL.md
- Network accessline 588
- FEniCS/dolfinx documentation: <https://docs.fenicsproject.org/> - Network accessline 589
- FEniCS tutorial (Langtangen & Logg): <https://fenicsproject.org/pub/tutorial/> - Network accessline 590
- gmsh documentation: <https://gmsh.info/doc/texinfo/gmsh.html> - Network accessline 591
- ParaView visualization: <https://www.paraview.org>
Skill/abaqus/reference/fenics-fem/UPSTREAM.md
- Network accessline 3
- Name: fenics-fem - Repository: https://github.com/xjtulyc/awesome-rosetta-skills - Network accessline 4
- Repository: https://github.com/xjtulyc/awesome-rosetta-skills - Network accessline 5
- Upstream path: skills/01-physics/fenics-fem - Source URL: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/01-physics/fenics-fem - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/01-physics/fenics-fem
Skill/abaqus/setup/abaqus-amplitude/UPSTREAM.md
- Network accessline 3
- Name: abaqus-amplitude - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-amplitude - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-amplitude - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-amplitude
Skill/abaqus/setup/abaqus-amplitude/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-amplitude/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-amplitude/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-amplitude/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-amplitude/SKILL.md", "permission_note": "Restricted or unknown license - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-amplitude/SKILL.md",
Skill/abaqus/setup/abaqus-bc/UPSTREAM.md
- Network accessline 3
- Name: abaqus-bc - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-bc - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-bc - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-bc
Skill/abaqus/setup/abaqus-bc/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-bc/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-bc/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-bc/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-bc/SKILL.md", "permission_note": "Restricted or unknown license. Do no - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-bc/SKILL.md",
Skill/abaqus/setup/abaqus-docs/SKILL.md
Skill/abaqus/setup/abaqus-docs/UPSTREAM.md
- Network accessline 3
- Name: abaqus-docs - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-docs - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-docs - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-docs
Skill/abaqus/setup/abaqus-docs/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-docs/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-docs/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-docs/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-docs/SKILL.md", "permission_note": "Restricted or unknown license. Do - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-docs/SKILL.md",
Skill/abaqus/setup/abaqus-field/UPSTREAM.md
- Network accessline 3
- Name: abaqus-field - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-field - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-field - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-field
Skill/abaqus/setup/abaqus-field/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-field/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-field/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-field/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-field/SKILL.md", "permission_note": "Restricted or unknown license. Do - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-field/SKILL.md",
Skill/abaqus/setup/abaqus-load/UPSTREAM.md
- Network accessline 3
- Name: abaqus-load - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-load - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-load - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-load
Skill/abaqus/setup/abaqus-load/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-load/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-load/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-load/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-load/SKILL.md", "permission_note": "Restricted or unknown license. Do - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-load/SKILL.md",
Skill/abaqus/setup/abaqus-output/UPSTREAM.md
- Network accessline 3
- Name: abaqus-output - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-output - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-output - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-output
Skill/abaqus/setup/abaqus-output/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-output/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-output/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-output/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-output/SKILL.md", "permission_note": "Restricted or unknown license. D - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-output/SKILL.md",
Skill/abaqus/setup/abaqus-step/UPSTREAM.md
- Network accessline 3
- Name: abaqus-step - Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 4
- Repository: https://github.com/majiayu000/claude-skill-registry - Network accessline 5
- Upstream path: skills\data\abaqus-step - Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-step - Imported on: 2026-05-19 - Network accessline 6
- Source URL: https://github.com/majiayu000/claude-skill-registry/tree/main/skills\data\abaqus-step
Skill/abaqus/setup/abaqus-step/metadata.json
- Network accessline 8
"category": "data", "author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-step/SKILL.md", - Network accessline 9
"author": "JaimeCernuda", "source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-step/SKILL.md", "license": "NOASSERTION", - Network accessline 10
"source_url": "https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-step/SKILL.md", - Network accessline 11
"license": "NOASSERTION", "copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-step/SKILL.md", "permission_note": "Restricted or unknown license. Do - Network accessline 12
"copyright": "Copyright belongs to upstream author(s); see https://github.com/JaimeCernuda/abaqus-scripting/blob/main/.claude/skills/abaqus-step/SKILL.md",
Skill/comsol/comsol-motor-nvh-evidence/scripts/New-ComsolMotorNvhRun.ps1
- Executable scriptline 1
Executable file
Skill/comsol/comsol-motor-nvh-evidence/scripts/validate_nvh_exports.py
- Executable scriptline 1
Executable file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 2 facts
- Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentioncylinder-o-grid/scripts/plan_ogrid.py:117High confidence
- Allows Bash without restrictions, though it has no scripts or shell blocksfea-structural/SKILL.md:4High confidence
Signal confidence: 182 facts
- Executable script in a comment of a file that runsskills/__init__.py:1Low confidence
- Network access in a comment of a file that runsskills/__init__.py:7Low confidence
- Network access in a comment of a file that runsskills/__init__.py:8Low confidence
- Network access in a comment of a file that runsskills/__init__.py:9Low confidence
- Network access in code of documentationcst-runtime-cli/references/setup_guide.md:59Low confidence
- Network access in prose of documentationcst-runtime-cli/references/tool-development-guide.md:106Low confidence
- Network access in prose of documentationcst-runtime-cli/references/tool-development-guide.md:107Low confidence
- Dangerous shell operation in code of documentationcst-runtime-cli/references/tool-development-guide.md:287Low confidence
- Executable script in a comment of a testcst-runtime-cli/tests/__init__.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/__init__.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_capture_3d_view.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_capture_3d_view.py:17Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_cli_errors.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_cli_errors.py:19Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_cli_functional.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_cli_functional.py:19Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_governance.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_governance.py:18Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_pipelines_metadata.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_pipelines_metadata.py:19Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/cli/test_tools_metadata.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/cli/test_tools_metadata.py:50Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/conftest.py:1Low confidence
- Executable script in a comment of a testcst-runtime-cli/tests/core/__init__.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/core/test_farfield.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/core/test_project.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/core/test_results.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/core/test_session.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/core/test_simulation.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/helpers.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/manual_pipeline_contracts.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/manual_pipeline_contracts.py:20Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/test_arch_invariants.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/test_cli_remaining.py:1Low confidence
- Access to secrets in code of a test: a variable, placeholder or call, not a stored valuecst-runtime-cli/tests/test_cli_remaining.py:19Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/test_farfield_analysis.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/test_gateway.py:1Low confidence
- Executable script in code of a testcst-runtime-cli/tests/test_objective.py:1Low confidence
- Executable script in code of a testcst-runtime-cli/tests/test_pipelines.py:1Low confidence
- Executable script in code of a testcst-runtime-cli/tests/test_project_identity.py:1Low confidence
- Executable script in prose of a testcst-runtime-cli/tests/test_render.py:1Low confidence
- Network access in code of a testcst-runtime-cli/tests/test_render.py:86Low confidence
- Network access in code of a testcst-runtime-cli/tests/test_render.py:88Low confidence
- Executable script in prose of a file that runscst-runtime-cli/tools/generate_tools.py:1Low confidence
- Executable script in code of a file that runsansys-structural-workbench/scripts/build_analysis_report.py:1High confidence
- Executable script in code of a file that runsansys-structural-workbench/scripts/calculate_reference_values.py:1High confidence
- Executable script in code of a file that runsansys-structural-workbench/scripts/evaluate_mesh_convergence.py:1High confidence
- Executable script in code of a file that runsansys-structural-workbench/scripts/evaluate_mesh_quality.py:1High confidence
- Executable script in a comment of a file that runsansys-structural-workbench/scripts/mechanical_mesh_bridge.py:1Low confidence
- Executable script in code of a file that runsansys-structural-workbench/scripts/normalize_units.py:1High confidence
and 132 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Frontmatter field argument-hint in MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest MCP/Ansys/PyAnsys/pylumerical-mcp/AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md MCP/Ansys/PyAnsys/pycfx-mcp/src/ansys/cfx/mcp/cfx/skills/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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