Simulink-agentic-toolkit generate-requirement-drafts

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.

install
source · Clone the upstream repo
git clone https://github.com/matlab/simulink-agentic-toolkit
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/matlab/simulink-agentic-toolkit "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills-catalog/model-based-design-core/generate-requirement-drafts" ~/.claude/skills/matlab-simulink-agentic-toolkit-generate-requirement-drafts && rm -rf "$T"
manifest: skills-catalog/model-based-design-core/generate-requirement-drafts/SKILL.md
source content

Generate Requirement Drafts

Generate draft requirements from Simulink models using the richest artifact the environment supports. All outputs are drafts requiring human review and approval before baselining.

When to Use

  • Drafting or updating requirements from a Simulink model
  • Creating
    .slreqx
    or
    .yaml
    requirements artifacts
  • Establishing model-to-requirement traceability

When NOT to Use

  • Importing requirements from an existing source of truth (ReqIF, DOORS, Word, Excel) — use Requirements Toolbox import APIs directly
  • Writing or running tests — use the
    testing-simulink-models
    skill
  • Free-form prose notes with no saved artifact
  • User explicitly wants a different text format (markdown, Word)

Output Conventions

  • Default file names:
    <Model>_Requirements.slreqx
    or
    <model>_requirements.yaml
  • Stable IDs:
    REQ_<SYSTEM>_001
    ,
    REQ_<SYSTEM>_002
    , …
  • Follow repo conventions if
    .slreqx
    or
    .yaml
    files already exist
  • When updating an existing artifact, preserve existing IDs — append new IDs, never renumber
  • Every generated requirement must be marked as draft — use
    "draft"
    in Keywords (slreq) or
    status: Draft
    +
    keywords: [draft]
    (YAML)

Writing Good Requirements

Requirements must express behavioral intent (WHAT the system shall do), not restate model topology (HOW it is implemented). Put the WHY in

Rationale
. Use EARS (Easy Approach to Requirements Syntax) patterns:

EARS Patterns

Choose the pattern that best fits the model behavior:

PatternTemplateWhen to Use
UbiquitousThe <system> shall <response>.Always-on behavior, invariants
Event-drivenWhen <trigger>, the <system> shall <response>.Triggered subsystems, Stateflow transitions, input events
State-drivenWhile <state>, the <system> shall <response>.Stateflow states, mode-dependent behavior
Unwanted behaviorIf <condition>, then the <system> shall <response>.Error handling, safety limits, saturation
Optional featureWhere <feature>, the <system> shall <response>.Variant subsystems, configurable features
CombinedWhile <state>, when <trigger>, the <system> shall <response>.State + event combinations

Examples — Model Concepts to EARS Requirements

❌ Bad — restates implementation✅ Good — EARS pattern
"Saturation block limits output to [0,1]""If throttle command exceeds ThrottleMax (1.0) or falls below ThrottleMin (0.0), then the controller shall clamp the output to the valid range."
"BrakeLogic subsystem disengages controller""When brake pedal input exceeds BrakeThreshold (0.0), the controller shall disengage cruise control."
"Gain block multiplies by 2.5""While cruise control is active, the controller shall amplify speed error by Kp (2.5) to compute proportional correction."
"Stateflow chart transitions to Idle""When the driver presses the off button, the system shall transition to the Idle state."
"Variant subsystem selects Algorithm A""Where the adaptive mode is enabled, the controller shall use the predictive algorithm."

Rules

  • Write requirements using EARS patterns — pick the pattern that matches the model behavior
  • Use block/subsystem names only in
    Rationale
    or provenance notes, not in the requirement
    Summary
  • When referencing a numeric value, include the workspace variable name and resolved value:
    VarName (value)
    . If the model uses a literal with no variable, record the numeric literal directly
  • Put the WHY in
    Rationale
    , not in the requirement statement
  • One subsystem may support zero, one, or several behavioral requirements — don't force a 1:1 mapping

Backend Decision Gate

Choose once at the start, then stay on that path.

SituationBackend
User explicitly asks for
.slreqx
, traceability views, or repo already uses
.slreqx
Requirements Toolbox — if probe fails, inform the user that Requirements Toolbox is unavailable; do NOT silently fall back
User explicitly asks for
.yaml
, or repo already uses
.yaml
requirements
Structured YAML
No format specified — probe for Requirements ToolboxRequirements Toolbox if probe succeeds
No format specified and probe failsStructured YAML (silent fallback is OK here since user had no preference)

Probe (run via

evaluate_matlab_code
):

hasSlreq = ~isempty(which('slreq.new'));
if hasSlreq, try, slreq.find(Type="Link"); catch, hasSlreq = false; end, end
disp(hasSlreq)

Workflow

  1. Understand the model — use

    model_overview
    and
    model_read
    to understand subsystems, interfaces, control logic.

  2. Extract parameters — use

    model_query_params
    /
    model_resolve_params
    for thresholds, gains, sample times that should appear in requirement text. Record both variable names and resolved values.

  3. Build a capture table (backend-neutral):

    IdParentIdSummaryDescriptionSourceBlockRationaleASILPriorityKeywords
  4. Run the backend path (A or B below).

  5. Review using the gate below.

Path A — Requirements Toolbox (
.slreqx
)

Use when probe succeeds. For full API patterns see

reference/slreq-patterns.md
.

model = "CruiseControl";
load_system(model);
rs = slreq.new(model + "_Requirements");

% Add requirements with hierarchy — note behavioral "shall" statements
req = add(rs, Id="REQ_CC_001", ...
    Summary="If throttle command exceeds ThrottleMax (1.0) or falls below ThrottleMin (0.0), then the controller shall clamp the output to the valid range.", ...
    Description="Derived from CruiseControl/ThrottleCmd.");
req.Rationale = "Prevents invalid actuator commands that could damage the throttle body.";
req.Keywords = ["draft","auto-generated","control","safety"];

child = add(req, Id="REQ_CC_002", ...
    Summary="When brake pedal input exceeds BrakeThreshold (0.0), the controller shall disengage cruise control.", ...
    Description="Derived from CruiseControl/BrakeLogic.");
child.Keywords = ["draft","auto-generated","safety","brake"];

% Create traceability links: source=block, dest=requirement → auto Implement
lnk = slreq.createLink(model + "/ThrottleCmd", req);
slreq.createLink(model + "/BrakeLogic", child);

save(rs);
% Save all link sets
linkSets = slreq.find(Type="LinkSet");
for i = 1:numel(linkSets), save(linkSets(i)); end

Link rules:

  • Source = model element, destination = requirement → link type is automatically
    Implement
  • Prefer subsystem-level links; use block-level only when the requirement is block-specific
  • Every model-derived requirement must have at least one traceability link
  • The model must be loaded (
    load_system
    ) before creating links with block paths

Path B — Structured YAML fallback

Use when Requirements Toolbox is unavailable. For schema and field rules see

reference/yaml-requirements.md
.

  1. Generate a
    <model>_requirements.yaml
    file from the capture table
  2. Set
    status: Draft
    and include
    draft
    in
    keywords
    for every requirement
  3. Self-review: all required fields set,
    asil
    /
    status
    /
    priority
    use valid values, IDs sequential,
    derived_from
    references valid IDs or is
    null
  4. Validate:
python -c "import yaml, sys; yaml.safe_load(open(sys.argv[1])); print('OK')" path/to/requirements.yaml

Guardrails

AlwaysNever
Mark every generated requirement as DRAFTEmit markdown or ad hoc text when
.slreqx
is available and no text format was requested
Write requirements using EARS patternsRestate block topology as the requirement summary
Include parameter name + value:
VarName (value)
Create both
.slreqx
and
.yaml
unless user asks for both
Link direction: model element → requirementReverse the link direction (requirement → block)
load_system
before creating traceability links
Over-link every primitive block — prefer subsystem links
Use only R2023a+ APIsSilently fall back to YAML when user explicitly requested
.slreqx
Stay consistent with existing repo formatRenumber existing requirement IDs on regeneration

Review Gate

Before finishing, verify (both backends):

  • Every requirement has
    Id
    ,
    Summary
    , and
    Description
  • Every requirement is marked as DRAFT (via Keywords or status field)
  • Summaries use EARS patterns, not block-topology restatements
  • Numeric values include parameter name + value where a workspace variable exists
  • IDs are stable and sequential; existing IDs preserved on regeneration

slreq path only:

  • Model-derived requirements have a traceability link to the source model element
  • Link direction is model element → requirement (not reversed)
  • Subsystem-level linking preferred over block-level
  • Requirement set and all link sets are saved

YAML path only:

  • File parses without errors
  • asil
    and
    priority
    use valid enum values (or
    Unset
    when unknown)

References

  • reference/slreq-patterns.md
    — Requirements Toolbox API cookbook
  • reference/yaml-requirements.md
    — Structured YAML schema and field rules
  • reference/examples/slreq_from_model.m
    — End-to-end slreq example
  • reference/examples/requirements.yaml
    — Structured YAML example