STARTER_CHARACTER = 🗺️
What Event Modeling Produces
A set of vertical slices that fully describe a system's behavior. Each slice is independently implementable and testable. The model uses business language throughout — no infrastructure or technical terms.
┌─────────────────────────────────────┐ │ Event Model │ │ │ │ ┌───────────┐ ┌───────────┐ │ │ │ Slice 1 │ │ Slice 2 │ ... │ │ │ STATE_ │ │ STATE_ │ │ │ │ CHANGE │ │ VIEW │ │ │ └───────────┘ └───────────┘ │ │ │ ▲ │ │ │ (events) │ │ │ └──────────────┘ │ └─────────────────────────────────────┘
Slice Types
Three types. Every behavior in the system fits one:
STATE_CHANGE — user does something
- Screen → Command → Event
- Command produces one or more events
- May have error events for failure paths
STATE_VIEW — system shows something
- Events → Read Model → Screen
- Read model aggregates data from one or more events
AUTOMATION — system reacts to something
- Event → Processor → Command → Event
- Background process, no user interaction
See references/slice-types.md for element rules, dependency patterns, and naming conventions.
Conversational Design Process
Work with the user through these phases. Move at the user's pace — they might want to go deep on one slice before seeing the full picture.
Phase 1: Understand the Domain
Identify aggregates (core business entities), actors, and high-level use cases. Ask about the business processes, not technical implementation.
Phase 2: High-Level Model
Draft all slices without field details. Show the flow between them — which events feed which read models, which screens lead to which commands. This is the "map" of the system.
Format as a markdown document with one section per slice. Include slice type, aggregate, elements, and how slices connect.
Phase 3: Slice Detail
Walk through one slice at a time. For each:
- Define fields with types and example values
- Identify business rules (not simple validations — real domain rules)
- Write specifications as Given/When/Then scenarios
Phase 4: Executable Specifications
Turn specifications into approval fixture files using the bdd-with-approvals skill. That skill teaches how to:
- Design scannable fixture formats adapted to the domain
- Structure input/output for human validation
- Build parsers and formatters
Read that skill when it's time to design fixtures. The event model specs (Given events / When command / Then events) map naturally to the approved fixture pattern.
Analyzing Existing Code
When working with an existing codebase instead of greenfield:
- Read the code to extract domain concepts
- Map existing operations to slice types (writes → STATE_CHANGE, reads → STATE_VIEW, background → AUTOMATION)
- Put code references (class names, packages) in element descriptions
- Extract specs from unit tests and comments
Output Format
Produce markdown, not JSON. Design for human readability — someone should look at the model and understand the system.
Write model artifacts to files. Ask the user where they want them (e.g., docs/event-model.md). Update the files as the model evolves through conversation.
High-Level Model
One document showing all slices and their relationships:
markdown# [System Name] Event Model ## Aggregates - Owner — pet owners who use the clinic - Pet — animals registered to owners ## Slices ### Register Owner [STATE_CHANGE] Aggregate: Owner Screen: Owner Registration Form Command: Register Owner → Event: Owner Registered Error: → Owner Registration Failed ### View Owner Profile [STATE_VIEW] Aggregate: Owner Events: Owner Registered, Pet Registered → Read Model: Owner Profile Screen: Owner Profile ### Notify Vet of New Patient [AUTOMATION] Trigger: Pet Registered → Processor: New Patient Notifier Command: Send Notification → Event: Vet Notified
Detailed Slice
Per-slice detail includes fields and specifications:
markdown## Register Owner [STATE_CHANGE] Aggregate: Owner ### Command: Register Owner firstName: String — "George" lastName: String — "Franklin" address: String — "110 W. Liberty St." city: String — "Madison" telephone: String — "6085551023" ### Event: Owner Registered ownerId: UUID — <generated> firstName: String — "George" lastName: String — "Franklin" address: String — "110 W. Liberty St." city: String — "Madison" telephone: String — "6085551023" ### Event: Owner Registration Failed errors: Map — {"lastName": "required"} ### Specifications #### Successfully register with valid data Given: (no prior state) When: Register Owner firstName: George, lastName: Franklin address: 110 W. Liberty St., city: Madison telephone: 6085551023 Then: Owner Registered ownerId: <generated>, firstName: George, lastName: Franklin #### Fail when required fields missing Given: (no prior state) When: Register Owner firstName: George, city: Madison Then: Owner Registration Failed errors: {address: required, telephone: required} #### Business rules - All fields mandatory: firstName, lastName, address, city, telephone - Telephone must be numeric, max 10 digits
These are defaults. Adapt the format to the domain — what matters is that a person can scan it and quickly validate correctness.
Anti-Patterns
- Technical language in element names ("insertOwnerRecord" → "Register Owner")
- Skipping STATE_VIEW slices — every query/display is a slice
- Circular dependencies between elements
- Specs that test simple validation ("must be a number") instead of business rules
- Jumping to fixture format before the model is understood
- Combining multiple commands in one slice — one command per STATE_CHANGE
See Also
- For executable test specifications: invoke the
bdd-with-approvalsskill - For approval testing mechanics: invoke the
approval-testsskill


