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Simulink Single Precision Conversion

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matlab
simulink-single-precision-conversion

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 double precision, with single-precision data types. Use this skill when converting Simulink systems to single precision, reducing memory usage of a Simulink system, optimizing for embedded targets. Do NOT use for standalone MATLAB .m code single conversion.

Overview

Publishermatlab
Repositorysimulink-agentic-toolkit
Skill namesimulink-single-precision-conversion
Stars
1.2K
Forks
112
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by matlab on GitHub. Read the source before you install it.

Installation

Install the Simulink Single Precision Conversion AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/code-generation/simulink-single-precision-conversion
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/matlab/simulink-agentic-toolkit.git /tmp/simulink-agentic-toolkit
mkdir -p .claude/skills
cp -r /tmp/simulink-agentic-toolkit/skills-catalog/code-generation/simulink-single-precision-conversion .claude/skills/simulink-single-precision-conversion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Simulink Single Precision Conversion in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Simulink Single Precision Conversion on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Simulink Single Precision Conversion is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Single-Precision Conversion for Simulink Models (Fixed-Point Designer)

Toolbox: Fixed-Point Designer Function: DataTypeWorkflow.Single.convertToSingle

Converts user-specified double-precision data types — across block settings, Stateflow chart settings, signal objects, and bus objects — to single precision. Boolean, built-in integer (int8, uint8, int16, …), and fixed-point types are left unchanged.

When to Use

  • Converting a Simulink model (.slx) or subsystem from double-precision to single-precision
  • Reducing memory footprint for embedded hardware with native single-precision support
  • Batch/CI conversions, checking conversion compatibility, or verifying no stowaway doubles remain
  • Summarizing the single conversion compatibility report and conversion result for the user in plain language

When NOT to Use

  • Standalone MATLAB .m code — use the convertToSingle function with coder.config('single') instead
  • Fixed-point data type optimization — use DataTypeWorkflow.Converter instead
  • Approximating a function or shrinking Lookup Table blocks with LUTs — use simulink-optimize-lookup-tables instead

Public API

matlab
ConversionReport = DataTypeWorkflow.Single.convertToSingle(systemToConvert)
  • systemToConvert (char) — full block path of the loaded model or subsystem (e.g. 'myModel' or 'myModel/Controller').
  • ConversionReport (struct) — compatibility check, converted items, and verification status (see field tables below).

Worked example: openExample("fixedpoint/ConvertSystemToSinglePrecisionExample")

Rules

  1. Open with open_system(modelName), not load_system — the user must see the diagram before/after.
  2. Never call save_system on your own — saving destroys the double-precision baseline and blocks meaningful re-runs. Leave the model dirty. This holds even when the user asks you to "make it stick," "persist it," or "do everything end-to-end" — that is not consent to auto-save. In that case, state plainly that you will not save the model yourself, explain that saving overwrites the double-precision baseline, and ask the user to confirm or run save_system themselves. Only persist after the user explicitly confirms saving specifically (not merely a general "do it all" request).
  3. The compatibility check runs inside convertToSingle; read its results from report.CheckInfo (it is not a separate call).
  4. Get the user's explicit consent before converting. If the model path, subsystem, or scope is ambiguous, ask — do not guess. When the user says "my model" without naming one, ask which model; never adopt a .slx you happen to find in the working directory (an example or fixture file is not the user's intended model). Only run the conversion once the user has named the model.
  5. Always inspect report.VerifyInfo.StowawayDblBlks afterward — remaining stowaway doubles mean the conversion is incomplete. Fix them at the source (retype locked-double blocks, set Stateflow data to single, or widen the SUD scope) and re-run convertToSingle. Do not recommend hand-inserting single(...) casts or Data Type Conversion blocks on the offending signals — that hides the double instead of eliminating it.
  6. Assign the report to a local variable (report = ...;) — don't pollute the base workspace or echo the raw struct.

Report Structure

The tool runs check → convert → verify, populating three sub-structs on the report.

report.CheckInfo

FieldDescription
readyLogical — true if the system can be converted - only read ConvertInfo/VerifyInfo when this is true.
errError info (empty on success)
IncompatibleBlksCell array of DataTypeWorkflow.Single.Result — blocks not supporting single precision (see block-name note below)
UnsupportedBlksCell array of DataTypeWorkflow.Single.Result — blocks unsupported by the conversion tool (with ErrorMsgs)
DTLockedDblBlksBlocks with locked double data types (do not block conversion)
StowawayDblBlksBlocks generating double operations found during the check
TLSSettingsModels whose Target Language Standard was updated to C99
DTOSettingsSystems whose Data Type Override was reset
SolverSettingsModels whose variable-step solver was changed to fixed-step
configSettingsConfig params updated (e.g. GenerateComments, ParameterPrecisionLossMsg)
memoryUse.BeforeValuePer-parameter memory table; column RuntimeMemory (bytes) before conversion

How to extract block names from the diagnostic list. IncompatibleBlks, UnsupportedBlks, StowawayDblBlks, and DTLockedDblBlks are cell arrays of DataTypeWorkflow.Single.Result objects — not block-path strings. Get the readable block path from each element's ID via getDisplayName(). Do not call get_param, getfullname, or string() on the elements: that errors with "The first input to get_param must be of type 'double', 'char' or 'cell'.":

matlab
for k = 1:numel(report.CheckInfo.IncompatibleBlks)
    r = report.CheckInfo.IncompatibleBlks{k};
    fprintf('  %s\n', r.ID.getDisplayName());   % e.g. 'myModel/Integrator'
    if ~isempty(r.ErrorMsgs)
        fprintf('    %s\n', strjoin(string(r.ErrorMsgs), '; '));
    end
end

report.ConvertInfo

Records what the converter actually did.

FieldDescription
readyLogical — true if the convert step ran cleanly
errError info; empty ([]) on success
resultsCell array of fxptds.BlockResult — the blocks/signals changed from double to single

report.VerifyInfo

FieldDescription
StowawayDblBlksBlocks still generating double operations after conversion
memoryUse.AfterValuePer-parameter memory table; column RuntimeMemory (bytes) after conversion

The check phase validates the Target Language Standard, Data Type Override, incompatible blocks, stowaway doubles, data-type-locked doubles, and solver settings — and auto-updates several of them. The tool handles TLS→C99, DTO cleanup, and solver changes automatically; you do not need to set these manually. See references/edge-cases.md for the full auto-update behavior, error identifiers, and edge cases:

  • Model not loaded / invalid path (Simulink:Commands:InvSimulinkObjectName); update-diagram failures (DataTypeWorkflow:Single:UpdateDiagramFailed)
  • Incompatible blocks (continuous blocks, MATLAB System blocks) and unsupported MATLAB Function Blocks (globals, MCOS classes, Simulink function calls)
  • Auto-updates (TLS, DTO, solver, config), model-reference scope handling, idempotency, and cleanup on model close

Generating the Conversion Report

After convertToSingle returns, summarize the result for the user in plain language — do not dump the raw struct. Put the exact API call used at the top for traceability.

For the required output sections, empty-report fallback, reporting conventions, and the Embedded Coder readiness-check follow-up, see references/reporting-format.md.


Prerequisites & Limitations

  • Requires MATLAB, Simulink, and Fixed-Point Designer; the model must be loaded.
  • The conversion engine is a singleton — only one conversion session can be active at a time.
  • MATLAB Function Blocks with complex logic and model references may need individual review — see references/edge-cases.md.

Copyright 2026 The MathWorks, Inc.


Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Simulink Single Precision Conversion AI skill do?

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 double precision, with single-precision data types. Use this skill when converting Simulink systems to single precision, reducing memory usage of a Simulink system, optimizing for embedded targets. Do NOT use for standalone MATLAB .m code single conversion.

Why use Simulink Single Precision Conversion on TypingMind?

Because you install it once and use it with any model. Simulink Single Precision Conversion is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Simulink Single Precision Conversion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matlab/simulink-agentic-toolkit/tree/main/skills-catalog/code-generation/simulink-single-precision-conversion. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Simulink Single Precision Conversion?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Simulink Single Precision Conversion?

As many as you like. As long as a model supports skills, you can use Simulink Single Precision Conversion with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Simulink Single Precision Conversion AI skill free?

It is published on GitHub by matlab. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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