matlab/simulink-agentic-toolkit

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저장소 README

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# Simulink Agentic Toolkit The Simulink® Agentic Toolkit allows you to use AI agents with Simulink by giving your AI agent the knowledge and context to read, build, edit, and test Simulink® models using Model-Based Design best practices. It connects agents to Simulink through the [MATLAB MCP Server](https://github.com/matlab/matlab-mcp-core-server), giving them the **ability** (tools) and the **knowledge** (skills) to work with Simulink models effectively. Use this toolkit to provide trusted Simulink capabilities to your agent. This toolkit prevents your AI coding agent from hallucinating, missing new features, and wasting time with extra steps that experienced Simulink users would skip. The toolkit provides: - **MCP tools** for reading, editing, querying, testing, and checking Simulink models - **Agent skills** encoding Model-Based Design best practices for model building, simulation, plant specification, testing, requirements, project management, and architecture modeling - **Automated setup** using a MATLAB® function that installs the MATLAB MCP Server, configures your agent, and registers skills - Supports **Claude Code, Copilot, Codex, Amp, and Gemini CLI** > To use AI agents with MATLAB, install the [MATLAB Agentic Toolkit](https://github.com/matlab/matlab-agentic-toolkit). Use the automated setup option to install both the toolkits in one step. ## How the Simulink Agentic Toolkit Works ``` ┌───────────┐ ┌───────────┐ ┌──────────┐ │ AI Agent │◄─MCP─►│MCP Server │◄─────►│ MATLAB / │ │ (Claude, │ │ (MATLAB │ │ Simulink │ │ Codex, │ │ MCP Core) │ └──────────┘ │ Copilot) │ └───────────┘ └───────────┘ ▲ │ reads ┌─────┴─────┐ │ Skills │ │ (MBD best │ │ practices)│ └───────────┘ ``` Your agent reads **skills** for domain knowledge, then calls **MCP tools** to interact with MATLAB and Simulink. The [MATLAB MCP Server](https://github.com/matlab/matlab-mcp-core-server) bridges the connection (downloaded during setup). ## Requirements - **MATLAB R2023a or later** with **Simulink** - A supported **AI coding agent** (see [Supported Platforms](README.md#supported-platforms)) - **Simulink Test** *(optional)* — required only for the `model_test` tool - Some skills require additional toolboxes (e.g., System Composer, Simscape, Stateflow). Check the `requires-products` field in each skill's `manifest.yaml` under [`skills-catalog/`](skills-catalog/) for additional requirements. ## Supported Platforms The Simulink Agentic Toolkit works with any AI coding agent that supports skills and MCP. The automated setup has been verified on the platforms listed below. Performance may vary with other coding agents. | Platform | Setup | |----------|-------| | [Claude Code](https://claude.ai/code) | Automated | | [GitHub Copilot](https://github.com/features/copilot) | Automated | | [OpenAI Codex](https://openai.com/codex) | Automated | | [Gemini CLI](https://github.com/google-gemini/gemini-cli) | Automated | | [Sourcegraph Amp](https://ampcode.com/) | Automated | ## Get Started with the Simulink Agentic Toolkit These steps show you how to use the Simulink Agentic Toolkit to install the MATLAB MCP Server and add skills to your agent. > Note: For detailed instructions on configuration options for this toolkit, platform-specific notes, verification steps, and troubleshooting, see [Configuration and Troubleshooting](Configuration_and_Troubleshooting.md). ### Install Simulink Agentic Toolkit (Automated Setup) You can use the Agentic Toolkit installer to set up the Simulink Agentic Toolkit. The installer: * Supports both the MATLAB and Simulink Agentic Toolkits. * Supports connecting to an existing MATLAB session (--matlab-session-mode="auto" or "existing"). * Provides the option to configure your agent for individual projects or globally. Follow these steps to set up the Simulink Agentic Toolkit. 1. Download [agenticToolkitInstaller.mltbx](https://github.com/matlab/simulink-agentic-toolkit/releases/latest/download/agenticToolkitInstaller.mltbx). 2. Open the downloaded file to install the installer add-on. If the Add-On Manager fails to launch (common on headless machines, corporate proxies/antivirus, or older MATLAB versions — you may see this error ERR_CERT_AUTHORITY_INVALID or "Unable to open the requested feature"), install programmatically instead: ```matlab matlab.addons.toolbox.installToolbox("agenticToolkitInstaller.mltbx") ``` 3. After installing, in MATLAB, run: ```matlab setupAgenticToolkit("install") ``` To uninstall the toolkit, run `setupAgenticToolkit("uninstall")`. > **Existing users:** If you previously set up the toolkit using the agent-driven workflow, you must uninstall that custom installation and global configuration setup. See [Migrating from a Previous Installation](Migrate-from-Previous-Installation.md). ### Alternative Manual Installation Workflow If you prefer to manage your own MATLAB MCP server installation and agent configuration, or if you are using an agent that is not listed under [Supported Platforms](#supported-platforms), you can set up the toolkit manually, following these steps. 1. Download the latest MATLAB MCP server from the [MCP server release](https://github.com/matlab/matlab-mcp-core-server/releases). 2. Install the MATLAB MCP Server Toolbox by running: ```bash ./matlab-mcp-server --setup-matlab ``` > **Note:** If you downloaded the binary manually from GitHub releases, the asset name includes a platform suffix that depends on the release version: > > | Platform | New asset name | Legacy asset name (pre-6/18) | > |----------|---------------|------------------------------| > | Linux x86_64 | `matlab-mcp-server-linux-x64` | `matlab-mcp-core-server-glnxa64` | > | macOS arm64 | `matlab-mcp-server-macos-arm64` | `matlab-mcp-core-server-maca64` | > | macOS x86_64 | `matlab-mcp-server-macos-x64` | `matlab-mcp-core-server-maci64` | > | Windows x86_64 | `matlab-mcp-server-windows-x64.exe` | `matlab-mcp-core-server-win64.exe` | > > Rename the downloaded file to `matlab-mcp-server` (or `matlab-mcp-server.exe` on Windows) and place it in `~/.matlab/agentic-toolkits/bin/`. The automated setup handles this automatically. 3. Connect the MATLAB MCP Server to a running MATLAB session. In the command window of the running MATLAB session, run `shareMATLABSession()`. 4. Clone the [Simulink Agentic Toolkit](https://github.com/matlab/simulink-agentic-toolkit) repository, then add toolkit flags to your agent's MCP server configuration: ``` --matlab-session-mode=existing --extension-file=/path/to/simulink-agentic-toolkit/tools/tools.json ``` 4. Register skills by pointing your agent's skill or prompt directory at each non-empty group under `skills-catalog/` — `model-based-design-core/`, `model-based-system-engineering/`, `verification-validation-and-test/`, `simulink-simulation/`, `simulink-modeling/`, `control-systems/`, `simulink-environment-fundamentals/`, `signal-processing/`, `physical-modeling/`, `code-generation/`, `real-time-simulation-and-testing/`, and `simulink-block-and-blockset-authoring/`. Each skill is a self-contained `SKILL.md` with a `manifest.yaml`. For platforms that discover skills from `~/.agents/skills/`, create symlinks: ```bash mkdir -p ~/.agents/skills for group in model-based-design-core model-based-system-engineering verification-validation-and-test simulink-simulation simulink-modeling control-systems simulink-environment-fundamentals signal-processing physical-modeling code-generation real-time-simulation-and-testing simulink-block-and-blockset-authoring; do for skill in /path/to/simulink-agentic-toolkit/skills-catalog/$group/*/; do ln -s "$skill" ~/.agents/skills/$(basename "$skill") done done ``` ### MATLAB Setup The MATLAB MCP Server connects to a running MATLAB session. For each session, add the Simulink Agentic Toolkit to the path and initialize it. On Linux and macOS, use: ```matlab addpath("~/.matlab/agentic-toolkits/simulink") satk_initialize ``` On Windows, use: ```matlab addpath(fullfile(getenv('USERPROFILE'), '.matlab', 'agentic-toolkits', 'simulink')) satk_initialize ``` This does three things: 1. Adds the toolkit's tool directories to the MATLAB path 2. Calls `shareMATLABSession` so that the MATLAB MCP server can connect to running MATLAB session 3. Runs `validate_installation` to check that everything is configured correctly If you installed the MCP server binary to a non-default location (e.g., a network share), pass its path explicitly: ```matlab satk_initialize(MCPServerPath="//server/share/bin/matlab-mcp-server") ``` > **Note:** `satk_initialize` must run once per MATLAB session. To run it automatically in future sessions, add the block below to your [`startup.m`](https://www.mathworks.com/help/matlab/ref/startup.html). > > **Finding or creating your `startup.m`:** > > 1. List existing startup files: > ```matlab > which('startup', '-all') > ``` > 2. If any are listed, edit the **first** entry — MATLAB runs the one it finds first on the path. > 3. If none are listed, create one under `userpath`: > ```matlab > edit(fullfile(userpath, 'startup.m')) > ``` > If that errors because `userpath` has multiple folders, run `userpath`, copy the first folder, and use it explicitly: `edit(fullfile('<thatFolder>', 'startup.m'))`. > > **Add this block to `startup.m`:** > > ```matlab > % Initialize the Simulink Agentic Toolkit (adjust version/path as needed) > if contains(version, 'R2026a') > if ispc > addpath(fullfile(getenv('USERPROFILE'), '.matlab', 'agentic-toolkits', 'simulink')) > else > addpath("~/.matlab/agentic-toolkits/simulink") > end > satk_initialize > end > ``` ### Verify Check that your agent has loaded skills or plugins on its path (e.g., Claude Code's `/skills` command), confirm the Simulink Agentic Toolkit skills are listed. Open any Simulink model — your own, or a shipped example. ```matlab openExample('simulink_general/sldemo_househeatExample') ``` This opens the shipped example model `sldemo_househeat`. Ask your agent: ``` Describe the structure of the currently open model. ``` ## Library Configuration ### Toolbox Libraries Use `satk.Configuration.setToolboxes` to activate pre-built knowledge bases for installed MathWorks toolboxes: ```matlab satk.Configuration.setToolboxes('all') % Activate all installed toolbox KBs satk.Configuration.setToolboxes({'Aerospace Blockset', 'Simscape'}) % Activate specific toolboxes by name satk.Configuration.setToolboxes('none') % Deactivate all toolbox KBs ``` ### Custom Libraries To use your own custom Simulink block libraries with the toolkit, register them in MATLAB once: ```matlab satk.Configuration.setCustomLibraries("C:\path\to\customLibs") ``` This declares your custom libraries. By default (`GenerateKB=false`), the knowledge base is **not** built immediately — on the next model-building task or on invocation of the **'setup-custom-libraries'** skill, the agent indexes the libraries into a knowledge base (~3–5 min to complete), enabling usage of custom blocks alongside built-in ones. Each entry is either a directory (every `.slx`/`.mdl` in it is registered) or a path to a single library file. To register more than one, pass a string array or a cell array: ```matlab % Multiple directories satk.Configuration.setCustomLibraries(["C:\path\to\motorLibs", "C:\path\to\sensorLibs"]) % Individual library files satk.Configuration.setCustomLibraries(["C:\libs\motorLib.slx", "C:\libs\sensorLib.slx"]) ``` Each call **replaces** the full set of registered custom libraries rather than adding to it — list every library you want in a single call. #### Options `setCustomLibraries` accepts the following options: ```matlab % Build the knowledge base deterministically from block metadata present in the libraries. satk.Configuration.setCustomLibraries("C:\path\to\customLibs", GenerateKB=true) % Choose where the KB and configuration folder is written. % Omitted -> MATLAB prefdir (default): per-user, global, paths stored absolute. % <dir> -> an existing directory: library paths on the same drive are % stored relative to this root (so the .satk folder can be % committed and shared); paths on a different drive are stored % absolute. satk.Configuration.setCustomLibraries("libs", Location="C:\repo\myProject") ``` Custom libraries anchor the location. Once you register custom libraries with a `Location`, activating toolbox knowledge bases with `setToolboxes` writes them into that same `.satk`. If you activate toolbox KBs globally first and later register custom libraries with a `Location`, the toolbox KBs are moved alongside the custom libraries automatically. ### Clearing Configuration To remove the global (prefdir) library configuration: ```matlab satk.Configuration.clearConfig() ``` To remove a project-local configuration (its `.satk/` folder and any `satk-libraries.json` at the project root) — for example when a project config is shadowing the global one and you want the global config to win: ```matlab satk.Configuration.clearConfig("C:\repo\myProject") ``` Both forms are destructive and not reversible. ## Update Simulink Agentic Toolkit To update the toolkit, download the latest installer add-on by clicking [agenticToolkitInstaller.mltbx](https://github.com/matlab/simulink-agentic-toolkit/releases/latest/download/agenticToolkitInstaller.mltbx). Open the downloaded file with MATLAB, and run this command in MATLAB: ```matlab setupAgenticToolkit("update") ``` This updates the skills, configurations, and MCP server binary for both the MATLAB and Simulink Agentic Toolkits. ## MCP Tools After you install the Simulink Agentic Toolkit, your agent can use the following tools. | Tool | What your agent can do | |------|------------------------| | `model_overview` | Explore model architecture. Review subsystem hierarchy, interfaces, and how major components connect | | `model_read` | Understand model behavior. Inspect blocks, algorithmic expressions, signal flow, and parameter values | | `model_edit` | Build and modify models. Add blocks, wire signals, create subsystems, and configure parameters as needed | | `model_check` | Validate model structure. Detect unconnected ports, dangling lines, and Edit-Time Checks on States and Subcharts | | `model_read_diagnostics` | Read diagnostics. Retrieve errors, warnings, and info messages from the Diagnostic Viewer after compilation, simulation, or code generation | | `model_test` | Verify requirements. Run human-readable Gherkin tests with automatic harness generation *(requires Simulink Test)* | | `model_query_params` | Inspect any parameter. Query block settings, signal properties, solver config, and logging flags | | `model_resolve_params` | Get actual values. Resolve workspace variables like `Kp` to their numeric values across all scopes | | `model_scan` | Find something specific, fast. Regex-search the saved `.slx` file on disk for a block name, parameter value, or string without loading the model | --- ## Agent Skills After you install the Simulink Agentic Toolkit, your agent can use the skills in the following groups. To see lists of available skills, see [skills catalog](skills-catalog/README.md). | Skill Group | Description | |-------|---------------------------| | [Model-Based Design Core](skills-catalog/model-based-design-core/) | Core Model-Based Design (MBD) skills for building, testing, and specifying Simulink models | | [Model-Based System Engineering](skills-catalog/model-based-system-engineering/) | Model-Based System Engineering skills for System Composer architecture models | | [Verification, Validation, and Test](skills-catalog/verification-validation-and-test/) | Author custom Model Advisor checks, run compliance reviews against industry standards (MISRA, MAB, ISO 26262, DO-178C, etc.), fix SLDV incompatibilities, and explain missing coverage | | [Simulink Simulation](skills-catalog/simulink-simulation/) | Skills for constructing simulation input datasets and configuring simulation workflows | | [Simulink Modeling](skills-catalog/simulink-modeling/) | Configure and integrate C/C++ code into Simulink models via C Function blocks | | [Control Systems](skills-catalog/control-systems/) | Control system design and analysis skills for Simulink models | | [Simulink Environment Fundamentals](skills-catalog/simulink-environment-fundamentals/) | Core Simulink environment capabilities, including discovering shipped example models | | [Signal Processing](skills-catalog/signal-processing/) | Frame-based streaming DSP models in Simulink using DSP System Toolbox | | [Physical Modeling](skills-catalog/physical-modeling/) | Model, simulate, and analyze multidomain physical systems with the Simscape product family | | [Code Generation](skills-catalog/code-generation/) | Prepare Simulink models for production code generation, including single-precision conversion, optimizing generated embedded code, configuring Embedded Coder deployment settings, and customizing A2L calibration files | | [Real-Time Simulation and Testing](skills-catalog/real-time-simulation-and-testing/) | Configure, deploy, and run Simulink models on real-time target computers with Simulink Real-Time | | [Simulink Block and Blockset Authoring](skills-catalog/simulink-block-and-blockset-authoring/) | Author the appearance of custom Simulink blocks, such as dynamic SVG block icons | ## Security Considerations When using the Simulink Agentic Toolkit and MATLAB MCP Server, you should thoroughly review and validate all tool calls before you run them. Always keep a human in the loop for important actions and only proceed once you are confident the call will do exactly what you expect. For more information, see [User Interaction Model (MCP)](https://modelcontextprotocol.io/specification/2025-06-18/server/tools#user-interaction-model) and [Security Considerations (MCP)](https://modelcontextprotocol.io/specification/2025-06-18/server/tools#security-considerations). ## Licensing and Usage The license is available in the [LICENSE.md](LICENSE.md) file in this GitHub repository. MCP servers are only permitted to be used with MATLAB and Simulink in accordance with the MathWorks Software License Agreement, and must not be shared by multiple users. Contact MathWorks if you need to support shared or centralized server use. ## Research Preview: Agentic Task Explorer The Agentic Task Explorer provides curated, multi-step tasks that show what agents can do with Simulink — model understanding, creation, modification, testing, bug fixing, and verification. Each task includes Simulink models and supporting files, ready to go. ```matlab slAgenticTaskExplorer ``` Select a task from the interactive UI. The explorer stages it into an isolated workspace with all required files, then opens your coding agent. Each task presents step-by-step prompts — copy each prompt into your coding agent and watch it work. *This is a research preview. Behavior and interfaces might change.* --- ## Report Bugs If you encounter a bug, use the **filing-bug-reports** skill to generate a report before opening a GitHub issue. Ask your agent: ``` File a bug report for this issue ``` The skill automatically captures environment details, reproduction steps, and error output. **Run the skill in the same session where the bug occurred**, because it uses conversation context to reconstruct what happened. Then [open a bug report](https://github.com/matlab/simulink-agentic-toolkit/issues/new?template=bug_report.yml) and paste the generated report. --- ## Support and Contributions MathWorks encourages you to use this repository and provide feedback. To request technical support or submit an enhancement request, [create a GitHub issue](https://github.com/matlab/simulink-agentic-toolkit/issues) or [contact technical support](https://www.mathworks.com/support/contact_us.html). For MATLAB MCP Server issues, see the [MATLAB MCP Server](https://github.com/matlab/matlab-mcp-core-server) repository. Pull requests are not enabled on this repository. See [CONTRIBUTING.md](CONTRIBUTING.md) for details. Copyright 2025-2026 The MathWorks, Inc.

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setup-custom-libraries

미분류

Register, add, or update existing custom Simulink block libraries and configure block policy and knowledge index. Use when a user wants to register, set up, configure, or add existing .slx library files for agent-assisted model building. Do NOT use when the…

원문 언어: 영어

2026-10-21

building-architecture-models

미분류

Build and refine multi-layer (functional/logical/physical) system architecture models with System Composer. Use when building or restructuring architecture models, or when working with interface dictionaries and port interfaces (including composite boundary…

원문 언어: 영어

2026-10-21

simulink-check-rapid-accelerator-compatibility

미분류

Statically analyze a Simulink model for Rapid Accelerator (raccel) mode incompatibilities. Identifies unsupported blocks (Interpreted MATLAB Function, Level-2 S-Functions without TLC), configuration issues, and data type restrictions that prevent code…

원문 언어: 영어

2026-10-14

simulink-configure-model-for-code-generation

미분류

Configure Simulink models for Embedded Coder (ERT), Simulink Coder (GRT rapid-prototyping), or AUTOSAR code generation. Use when the user asks to generate embedded C or C++ code, run a full build of a model, produce a code generation report, configure a model…

원문 언어: 영어

2026-10-07

slci-compatibility-analysis

미분류

Use when you need to verify a Simulink model is compatible with SLCI code inspection, or to apply fixes for identified incompatibilities. Checks model configuration, identifies incompatibilities, and explains why each constraint is required for verification.…

원문 언어: 영어

2026-10-07

slci-inspection-incompatibility-analysis

미분류

Use when SLCI code inspection has failed due to compatibility issues and you need to diagnose the incompatibilities. Traces inspection failures back to root-cause incompatibility settings or known limitations by matching failed code lines against known…

원문 언어: 영어

2026-10-07

simulink-configure-real-time-model

미분류

Configure a Simulink model for Simulink Real-Time code generation and deployment. Use when setting up a model for Simulink Real-Time, selecting the correct system target file, fixing TLC/STF mismatches, applying fixed-step solver settings, validating…

원문 언어: 영어

2026-10-07

simulink-configure-real-time-target

미분류

Manage Simulink Real-Time target computers from MATLAB — list available targets, check whether a target is connected, read its lifecycle status, add/remove/rename targets, set IP addresses and credentials, choose the default target, install TLS material,…

원문 언어: 영어

2026-10-07

simulink-instrument-real-time-application

미분류

Set up signal capture for a Simulink Real-Time application using `slrealtime.Instrument`. Use when choosing which signals a real-time application captures and where the data goes — test-pointing or canvas-badging a signal before build (`TestPoint`,…

원문 언어: 영어

2026-10-07

simulink-run-real-time-application

미분류

Build, deploy, run, monitor, tune, and stop Simulink Real-Time applications. Use when the user wants to build a Simulink Real-Time model, load/start/stop an `.mldatx` on a target, set stop time or start options, drive root inports/playback/parameter…

원문 언어: 영어

2026-10-07

simulink-collect-metrics

미분류

Collect and assess quality metrics for Simulink models using the metric.Engine API. Use when evaluating model design quality (maintainability, complexity, architecture) or testing completeness (unit testing, SIL, PIL, coverage, pass rates) after edits or test…

원문 언어: 영어

2026-10-07

simulink-author-classic-autosar-swc

미분류

Use this skill when authoring, reworking, or validating a Classic AUTOSAR software component (SWC) in Simulink, including autosar.api mappings, runnables, timing events, sender-receiver ports, client-server operations, IRVs, BSW service callers, and component…

원문 언어: 영어

2026-09-30

simulink-configure-code-interfaces

미분류

Use the skill to control and verify the code interface configuration of your model — how Simulink® model elements are represented in the generated C or C++ code. This includes — (1) specifying names, types (storage classes), and placement of variables that…

원문 언어: 영어

2026-09-30

simulink-optimizing-embedded-code

미분류

Optimizes Simulink models for Embedded Coder generated code. Use when asked to optimize or improve generated code, or reduce code metrics for a Simulink model. Targets: execution time, memory footprint (RAM, ROM, stack, data copies), code size, MISRA…

원문 언어: 영어

2026-09-30

simulink-sanitize-model

미분류

Sanitize and anonymize a Simulink model for external sharing. Use when stripping proprietary content, anonymizing block/signal names, removing metadata, or creating a shareable reproduction model for bug reports. Do NOT use for simply copying or sharing a…

원문 언어: 영어

2026-09-30

finding-simulink-examples

미분류

Find, show, open, or identify shipped MathWorks example models that demonstrate a concept, block, or application domain, and return the command to open them.

원문 언어: 영어

2026-09-30

simulink-run-parallel-simulations

미분류

Use this skill to run multiple Simulink simulations in parallel with parsim, batchsim, and DesignStudy. TRIGGER when: user asks for parameter sweep, sweeping/varying parameters across simulations, Monte Carlo study, batch simulation, running multiple…

원문 언어: 영어

2026-09-30

managing-simulink-projects

소프트웨어 개발자

Manages MATLAB projects for Simulink workflows: path management, file registration, labels, source control configuration, and project lifecycle. Use when creating projects, adding models/dictionaries/requirements to projects, configuring labels for…

원문 언어: 영어

2026-09-16

simscape-write-ssc

소프트웨어 개발자

Use when writing or editing Simscape Language (.ssc) source files — components, domains, or functions. Triggers include: model a physical component in .ssc; write physical equations for a Simscape block; add or modify physics or parameterization options in a…

원문 언어: 영어

2026-09-16

checking-model-compliance

소프트웨어 품질 보증 분석가·테스터

Use this skill when the user asks to check Simulink model compliance against a standard (MISRA, MAB, JMAAB, ISO, DO, IEC, EN, CERT C/CWE, AUTOSAR, Simulink Code Inspector (SLCI)), wants to run Model Advisor checks, or needs a compliance report with fix…

원문 언어: 영어

2026-09-16

fix-sldv-incompatibility

소프트웨어 개발자

Use when a Simulink model is incompatible with Simulink Design Verifier (sldvcompat returns false, or an SLDV analysis errors out on an unsupported construct) and needs to be made analyzable. Diagnoses the incompatibility, applies the matching fix to a copy,…

원문 언어: 영어

2026-09-16

manage-safety-analysis

전기 엔지니어

Create, populate, and manage safety analysis spreadsheets (FMEA, FHA, HARA, custom) and fault trees (FTA) in Safety Analysis Manager. Use when the user asks to perform FMEA, hazard analysis, fault tree analysis, safety analysis, or work with Safety Analysis…

원문 언어: 영어

2026-09-16

resolve-design-errors

전기 엔지니어

Use when asked to run Design Error Detection (quick defect scan), find design errors in a Simulink model, perform root cause analysis on DED findings, fix division-by-zero, overflow, dead logic or out-of-bounds defects detected by SLDV, or diagnose why…

원문 언어: 영어

2026-09-16

simulink-explain-missing-coverage

소프트웨어 품질 보증 분석가·테스터

Use this skill when the user asks to summarize, or asks why Simulink Coverage objectives are missing, unsatisfied, or uncovered on a coverage result they already have — why specific decision, condition, MCDC, relational-boundary, or saturation/overflow…

원문 언어: 영어

2026-09-16

testing-simulink-models

전기 엔지니어

Tests Simulink models using either ephemeral Gherkin-based tests (model_test) for quick validation or persistent tests (Simulink Test API) authored from requirements or behavioral specs. Requires Simulink Test.

원문 언어: 영어

2026-09-16

generate-requirement-drafts

프로젝트 관리 전문가

Generates draft requirements from Simulink models. Use when drafting or updating requirement artifacts from a model. Prefers Requirements Toolbox (.slreqx) when available; falls back to structured YAML.

원문 언어: 영어

2026-09-03

simulink-customize-a2l

소프트웨어 개발자

Customize A2L (ASAP2) files generated from Simulink models using coder.asap2 and coder.mapping APIs. Use this skill when adding COMPU_METHODs, creating GROUPs, converting STD_AXIS to COM_AXIS, adding BIT_OPERATIONs, creating VARIANT_CODING, excluding…

원문 언어: 영어

2026-08-26

building-simulink-models

소프트웨어 개발자

Builds and edits Simulink, System Composer, Stateflow, and Simscape models. Use when modifying model structure, parameters, ports, connections, or Stateflow chart internals.

원문 언어: 영어

2026-08-26

configuring-block-policy

기타 컴퓨터 관련 직업

Guide users through creating and managing .satk/block-policy.json for controlling which blocks the agent can use, which are excluded, and which block parameters the agent should not modify. Use when setting up block usage policy for a project.

원문 언어: 영어

2026-08-26

filing-bug-reports

소프트웨어 품질 보증 분석가·테스터

Generate a standalone bug report that another developer can use to reproduce, investigate, and fix an issue. Use when the user says 'file a bug', 'write a bug report', 'report this issue', or asks to document a defect for handoff.

원문 언어: 영어

2026-08-26

simulink-curating-library-kg

기타 컴퓨터 관련 직업

Use this skill when the user wants to curate the SATK library knowledge index for a Simulink project — mark commonly used blocks, correct auto-assigned block categories, or improve block descriptions so the model-building agent picks better blocks from custom…

원문 언어: 영어

2026-08-26

simulink-streaming-dsp

소프트웨어 개발자

Building or editing Simulink (.slx) models that stream signals in frames using DSP System Toolbox — audio, vibration, radar, comms. Use when the prompt names a Simulink block (Discrete FIR Filter, Buffer, Unbuffer, Rate Transition, Downsample, Upsample,…

원문 언어: 영어

2026-08-26

simulink-control-motors

소프트웨어 개발자

Build motor control solutions using Motor Control Blockset for PMSM, induction motors, BLDC, and SynRM. Implement field oriented control, sensorless FOC, six-step control, speed control, current control, and torque control. Configure SVPWM, flux weakening,…

원문 언어: 영어

2026-08-19

author-modeladvisor-checks

소프트웨어 품질 보증 분석가·테스터

Author or upgrade Model Advisor checks for Simulink and System Composer models. Covers the full lifecycle: guideline authoring, check specification, Model Advisor check implementation, and qualification testing. Use when creating new checks (edit-time,…

원문 언어: 영어

2026-08-19

simulink-single-precision-conversion

전기 엔지니어

Converts a double-precision Simulink system or subsystem to single precision using DataTypeWorkflow.Single (Fixed-Point Designer). The single conversion replaces all user-specified double-precision data types, as well as output data types that compile to…

원문 언어: 영어

2026-08-12

simulating-simulink-models

소프트웨어 개발자

Configures Simulink simulations non-destructively using SimulationInput objects — parameter overrides without modifying the model, batch sweeps via parsim, custom input signals via Dataset, and simulation data retrieval via logsout. Use when running…

원문 언어: 영어

2026-08-12

specifying-mbd-algorithms

소프트웨어 개발자

Specify algorithms for Model-Based Design: system specs, architecture specs, implementation plans, test plans. Use when creating specifications for controllers, signal processing, diagnostics, estimators, or other algorithms authored in Simulink, Stateflow,…

원문 언어: 영어

2026-08-12

specifying-plant-models

소프트웨어 개발자

Specify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans. Use when creating, updating, or reviewing plant model specifications, planning plant model architecture, or planning plant model validation.

원문 언어: 영어

2026-08-12

simulink-use-c-function-block

전기 엔지니어

Use when integrating legacy code, custom code, or C/C++ code into Simulink via C Function blocks. Configure Simulink C Function blocks programmatically using the SymbolSpec API. TRIGGER when the user: - Asks about calling or wrapping C/C++ code or libraries…

원문 언어: 영어

2026-08-12

authoring-simulink-inputs

소프트웨어 개발자

Synthesize new waveforms from scratch for Simulink inports using createInputDataset. Use ONLY when the user asks to generate, create, or synthesize signals (step, ramp, sine, chirp, pulse, noise) to populate a Dataset for External Inputs or Signal Editor.…

원문 언어: 영어

2026-08-12

수집된 skill 44개 중 40개를 표시합니다.