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Curating library kg

Skill matlab/simulink-agentic-toolkit/skills-catalog/model-based-design-core/curating-library-kg

The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.

Install
npx -y skills add matlab/simulink-agentic-toolkit --skill curating-library-kg

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Guide users through curating the library knowledge index — reviewing block categories, marking common/important blocks, and improving block descriptions via agent inference for better agent block selection.

The file declares its own license as MathWorks BSD-3-Clause. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

7.8 KB, as published. Nobody here has run it

Curating the Library Knowledge Index

Curate .satk/library-kg/ for better agent block selection. Infer categories and descriptions from block metadata in .satk/library-cache/*.json, save curation to .satk/library-curation.json, then regenerate the KG.

When to Use

  • User wants to mark blocks as commonly used or important
  • User wants to correct auto-assigned categories
  • User wants to improve block descriptions for better selection
  • User asks "how do I make the agent prefer certain blocks?"
  • Called from building-simulink-models Gate 3.

When NOT to Use

  • Blocking, deprecating, or protecting blocks → configuring-block-policy
  • Actively building a model → building-simulink-models
  • Declaring which libraries exist → Library Setup gate in building-simulink-models

Prerequisites

  • satk-libraries.json or .satk/reuse-libraries.json must exist with libraries declared

Curation Rules

  1. Custom descriptions are mandatory for ALL metadataQuality: "low" and "medium" blocks across ALL declared libraries. These blocks have no useful information. Write a short intent-focused description for every such block to help with agent block selection. Do not skip blocks because a file is large or because they seem unrelated to the current task.
  2. Custom descriptions for "high" quality blocks are encouraged but optional.
  3. Write custom descriptions for as many blocks as possible. After covering low/medium, covering high blocks too improves the KG.
  4. Process in batches by category. Group blocks, infer descriptions together, present to user in digestible chunks.
  5. Never write template or mechanical descriptions. Descriptions like "Mathematical operation: gain" or "Signal routing utility: mux" are useless — they just restate the category and name. Every description MUST be thoughtful, intent-focused description explaining when to use the block and what modeling problem it solves (e.g., "Scale a signal by a constant factor — use for unit conversion, controller gains, or applying physical constants" instead of "Mathematical operation: gain").

Modes

  • Automatic (from Gate 3 "Automatic" option) — infer everything, commit without pausing per step, present final result for review.
  • Guided (from Gate 3 "Guided setup" or direct user invocation) — propose at each step, wait for user confirmation before proceeding.

Determine mode before starting. Do not proceed without mode selection.

Workflow

If .satk/library-kg/index.md already exists, start at step 1 (review existing state). If not, start at step 2.

  1. Review (only if KG exists) — Read index.md and common.md, summarize current state to user (libraries, block count, categories, common blocks).
  2. Mode selection — Determine Automatic or Guided. Do not proceed without completing this step.
  3. Descriptions — Ensure cache exists (see API), then read ALL .satk/library-cache/*.json files in full. If a file exceeds read limits, read it in chunks until every block has been processed. Apply Curation Rules above — write custom descriptions for blocks, prioritizing low/medium quality. Do NOT proceed to Step 4 until descriptions exist for every low/medium quality block across ALL cache files. Save to customDescriptions.
  4. Common blocks — Propose which blocks should be marked as commonly used. Consider blocks covering diverse categories and frequent modeling workflows. Save to commonBlocks.
  5. Categories — Finalize category definitions (names, descriptions, 3-5 keywords each). Allow user to correct individual block assignments via categoryAssignments.
  6. Completeness check — Before saving, count total low/medium quality blocks across ALL cache files and count how many have custom descriptions. Report coverage to the user (e.g., "275/275 low/medium blocks described, 120/285 high blocks described"). Do NOT proceed if coverage of low/medium blocks is below 100%.
  7. Save and generate — Save all curation data via library.LibraryCuration.save(projectRoot, curation), then run library.kg.Populate.run(projectRoot). Present the output summary to the user.

API

Ensuring cache exists

libConfig = library.LibraryConfig.load(projectRoot);
library.LibraryCatalog.getOrCreate(libConfig, projectRoot);

Reading block metadata

Read .satk/library-cache/*.json directly. Each file:

{
  "libraryName": "MotorLib",
  "description": "Motor control library",
  "blocks": [
    {
      "name": "SpeedController",
      "maskType": "SpeedCtrl",
      "blockType": "SubSystem",
      "maskDescription": "Closed-loop speed regulation with anti-windup",
      "description": "",
      "pathCategory": "Controllers",
      "metadataQuality": "high",
      "referenceBlock": "MotorLib/Controllers/SpeedController"
    }
  ]
}

Saving curation data

projectRoot = prefdir();
curation = library.LibraryCuration.load(projectRoot);
curation.commonBlocks = {'Speed Controller', 'Torque Estimator'};
curation.categories = struct('name', 'motors', 'description', 'Electric motors', 'keywords', {{'motor', 'drive'}});

% Use containers.Map — supports any block name as key
curation.customDescriptions = containers.Map('KeyType', 'char', 'ValueType', 'char');
curation.customDescriptions('Unit Delay') = 'Delay signal by one sample period';
curation.customDescriptions('1-D Lookup Table') = 'Interpolate output from breakpoint-value pairs';

curation.categoryAssignments = containers.Map('KeyType', 'char', 'ValueType', 'char');
curation.categoryAssignments('DC Current Controller') = 'motor-control';

library.LibraryCuration.save(projectRoot, curation);
library.kg.Populate.run(projectRoot);

Important: Use containers.Map (not struct) for customDescriptions and categoryAssignments. Struct field names cannot contain spaces or hyphens, which most Simulink block names have.

JSON format on disk

{
  "customDescriptions": [
    {"block": "Unit Delay", "value": "Delay signal by one sample period"},
    {"block": "1-D Lookup Table", "value": "Interpolate output from breakpoint-value pairs"}
  ],
  "categoryAssignments": [
    {"block": "DC Current Controller", "value": "motor-control"}
  ]
}

Curation Fields

FieldTypeEffect
commonBlockscell array of stringsAlways shown in common.md regardless of quality score
categoriesstruct array with .name, .description, .keywordsDefines categories with keyword matching for assignment
categoryAssignmentscontainers.Map (blockName → categoryName)Per-block category assignment
customDescriptionscontainers.Map (blockName → description)Per-block custom description (intent)

Guardrails

  • Never call find_system, get_param on library .slx files. Read .satk/library-cache/*.json for metadata, use library.kg.Populate.run() to generate the KG, and library.kg.Query.search() for lookups.
  • Never modify .satk/library-cache/*.json or .satk/library-kg/*.md directly — they are auto-generated.
  • Persist curation via library.LibraryCuration.save() only.
  • Confirm changes with the user before saving.
  • In user-facing output, do not use the term 'override'. Use 'custom description' or 'category assignment' instead. anges with the user before saving
  • For progress tracking during curation, do not mention the term 'override' in user-facing output. Use 'custom description' or 'category assignment' instead.

Copyright 2026 The MathWorks, Inc.


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