ontology-objecttype
DevelopmentObjectType Definition Assistant for Ontology-Driven-Architecture (ODA) migration. Analyzes existing codebases to identify ObjectType candidates through interactive workflow. Uses L1/L2/L3 Progressive Disclosure for analysis results.
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/ontology-objecttype - ObjectType Definition Assistant
Version: 3.0.0 | Model: opus
Overview
| Aspect | Description |
|---|---|
| Purpose | Analyze codebases and define ObjectTypes for ODA migration |
| Output | L1: Candidate summary / L2: Per-class analysis / L3: Full YAML definitions |
| Reference | .claude/rules/ontology.md for naming conventions |
Cross-Skill Integration
| Skill | Relationship |
|---|---|
/ontology-core | Validates generated ObjectType definitions |
/ontology-why | Called for "why?" questions about design decisions |
/ontology-linktype | (Planned) LinkType definition after ObjectType completion |
Commands
| Command | Description |
|---|---|
analyze <path> | Analyze project/file for ObjectType candidates |
resume <session-id> | Resume previous analysis session |
help | Show usage information |
Detection Patterns
| Pattern | Detection Method | Example |
|---|---|---|
| Python class | class ClassName: | class Employee: |
| SQLAlchemy ORM | Base or declarative_base() | class User(Base): |
| Django ORM | models.Model | class Article(models.Model): |
| Pydantic | BaseModel | class Config(BaseModel): |
Interactive Workflow (Phase 1-4)
Phase 1: Context Clarification
Purpose: Clarify source type and business domain
AskUserQuestion(questions=[
{
"question": "What is your source for this ObjectType definition?",
"header": "Source Type",
"options": [
{"label": "Existing source code", "description": "Python, Java, TypeScript"},
{"label": "Database schema", "description": "SQL DDL, ORM models"},
{"label": "Business requirements", "description": "Requirements documents"},
{"label": "Manual definition", "description": "New domain model"}
]
}
])
Validation Gate: source_validity
Phase 2: Entity Discovery
Purpose: Extract entities + PK strategy + Property type mapping
- Scan source code for entity candidates
- Select Primary Key strategy (single_column / composite / composite_hashed)
- Map Python types to Foundry DataTypes
Validation Gates: candidate_extraction, pk_determinism
Phase 3: Link Definition
Purpose: Detect relationships and define cardinality
| Cardinality | FK Location | Backing Table |
|---|---|---|
| ONE_TO_ONE | Either side | No |
| ONE_TO_MANY | "Many" side | No |
| MANY_TO_ONE | "Many" side | No |
| MANY_TO_MANY | - | Yes (required) |
Validation Gate: link_integrity
Phase 4: Validation & Output
Purpose: Final validation and YAML generation
Validation Gate: semantic_consistency
Validation Gates
| Gate | Phase | Description |
|---|---|---|
source_validity | 1 | Source path accessible, domain context provided |
candidate_extraction | 2 | At least one entity with class name and properties |
pk_determinism | 2 | PK is STRING, required, follows determinism rules |
link_integrity | 3 | M:N has join table, FK references valid targets |
semantic_consistency | 4 | API names follow conventions, all types valid |
PK Strategy Options
| Strategy | Description | Use Case |
|---|---|---|
single_column | Use existing unique column | employee_id, user_uuid |
composite | Combine columns with separator | company_id + dept_id |
composite_hashed | SHA256 hash of combined columns | Long composite keys |
DataType Mapping
| Category | Types |
|---|---|
| Primitive | STRING, INTEGER, LONG, FLOAT, DOUBLE, BOOLEAN, DECIMAL |
| Temporal | DATE, TIMESTAMP, DATETIME, TIMESERIES |
| Complex | ARRAY (requires itemType), STRUCT (requires fields), JSON |
| Spatial | GEOPOINT, GEOSHAPE |
| Media | MEDIA_REFERENCE, BINARY, MARKDOWN |
| AI/ML | VECTOR (requires dimension) |
Output Format
L1 - Candidate Summary
Found 12 Entity Candidates
ObjectType candidates (8): Employee, Department, Project...
Review needed (2): DTO/Mixin patterns
Excluded (2): Helper/Config classes
L2 - Per-Class Analysis
entity_name: Employee
pk_strategy: single_column
pk_column: employee_id
properties:
- api_name: employeeId
data_type: STRING
required: true
is_pk: true
L3 - Full YAML Definition
# objecttype-Employee.yaml
api_name: Employee
display_name: Employee
primary_key:
source_columns: [employee_id]
strategy: single_column
properties:
- api_name: employeeId
data_type: STRING
required: true
links:
- link_type_name: EmployeeToDepartment
target_object_type: Department
cardinality: MANY_TO_ONE
Session State
{
"session_id": "obj-a1b2c3",
"target_path": "/home/palantir/my-project",
"current_phase": "phase_2_entity",
"phase_results": {
"phase_1_context": { "status": "completed" },
"phase_2_entity": { "status": "in_progress" },
"phase_3_link": { "status": "pending" },
"phase_4_output": { "status": "pending" }
}
}
Reference System
Local Reference (ontology-definition package)
/home/palantir/park-kyungchan/palantir/Ontology-Definition/
├── ontology_definition/types/ # Type definitions
├── ontology_definition/core/ # Enums, base classes
└── tests/ # Usage examples
External References (WebSearch/WebFetch)
Trusted sources only:
palantir.com/docs/*(Official documentation)github.com/palantir/*(Official repositories)- Palantir case studies and conference materials
Error Handling
| Error | Recovery |
|---|---|
| Path not found | Prompt for correct path |
| No Python files | Show available file types |
| No classes found | Suggest manual definition |
| Session expired | Start new or resume with --resume |
Version History
| Version | Change |
|---|---|
| 1.0.0 | Initial ObjectType definition assistant |
| 1.1.0 | Phase 1-4 interactive workflow, L1/L2/L3 output |
| 3.0.0 | Frontmatter normalization, MCP tool inclusion, duplicate removal |
End of Skill Definition