--- name: simplecadapi description: Thin SimpleCAD SDK reference skill focused on the public API surface, core types, and current modeling workflows. license: AGPL-3.0 compatibility: Documentation/reference bundle for current SimpleCADAPI surfaces. metadata: project: simplecadapi version: 2.0.1b1 package-name: simplecadapi package-version: 2.0.1b1 --- # SimpleCAD SDK Skill ## Philosophy - This is a thin SDK reference skill: docs only. - SDK source code is not bundled in this skill. ## Working From Repo Root - Tool calls run from the repo root. - Use one explicit skill root: `./skills/simplecadapi/` or `./workspace/skills/simplecadapi/`. - Main doc paths: - `/SKILL.md` - `/references/docs/api/README.md` - `/references/docs/api/.md` - `/references/docs/stdlib/README.md` - `/references/docs/stdlib/.md` - `/references/docs/core/.md` - `/references/SDK_OVERVIEW.md` - `/references/SDK_SURFACES.md` - `/references/MODELING_WORKFLOWS.md` ## MUST Requirements 1. Read `SKILL.md`, `references/docs/api/README.md`, and `references/docs/stdlib/README.md` before choosing APIs. 2. Read the exact API Markdown page for every API you use. 3. Read the needed `core/` or exact `api/` docs when an API needs `Edge`, `Face`, `Wire`, `Solid`, `GraphSession`, `Sketch`, or expression types. 4. Prefer the standard parts library for standard parts before hand-modeling with core geometry APIs. 5. Follow the documented API signatures exactly. 6. When calling any SimpleCAD public API or standard-library function, use keyword arguments for every documented parameter; do not use positional arguments. 7. Use the graph/model JSON workflow for replayable tasks: `GraphSession`, `export_session_json`, `export_model_json`, `import_model_json`, and `replay_model_json`. 8. Use geometry APIs for integrated parts: profiles, features, booleans, transforms, tagging, QL inspection, serialization, and exports. 9. Use tags consistently through `apply_tag(shape=..., tag=...)` and `list_tags(shape=...)`; do not call shape member tag mutators. 10. Build and validate incrementally. Each step MUST include a small grounding `print`, and grounding MUST use QL where possible. 11. For inspection/debugging, query geometry with QL and print only the queried facts you need; do not print whole solids or full model objects. 12. Boolean operations return a single `Solid`. 13. Use `union_rsolid(...)` for boolean union. 14. For automated example/test harnesses, prefer the repo-local examples in `examples/` and avoid scratch scripts in `sandbox/`. 15. If union cannot produce exactly one merged solid, it fails explicitly; do not silently pick one piece. 16. If a single merged solid is required and union fails, slightly adjust part placement so intended bodies overlap/embed, then recompute. 17. If a task depends on model replay or interchange, prefer `export_model_json()` output over hand-written payloads. ## Standard Parts Library - SimpleCAD includes a standard library for parameterized mechanical parts. - When the user needs a standard part and does not require complex custom geometry changes, use a standard-library function first. - Current package-level standard-library surfaces include `scad.std.gear` for involute gears, internal ring gears, racks, and cycloidal discs, plus `scad.std.bearing` for ball bearing assemblies. - Read `references/docs/stdlib/README.md` to discover standard-library functions. - Read `references/docs/stdlib/.md` before calling a standard-library function. - Standard-library functions return normal SimpleCAD shapes or product assemblies that can be transformed, tagged, assembled, exported, and used with graph/model JSON workflows. ## Boolean result discipline - `union_rsolid(...)`, `cut_rsolid(...)`, and `intersect_rsolid(...)` accept mixed inputs: standalone `Solid`, lists of `Solid`, and nested sequences. - They return a single `Solid`. - `union_rsolid(...)` already applies the package's default glue mode and a conservative internal tolerance. - If a union cannot produce exactly one merged solid, it fails explicitly instead of returning multiple pieces. - If a single merged solid is required but union fails, slightly move the parts so they overlap instead of merely touching, then recompute the union. ## Modeling Mental Model - Start with intent: identify the part, its reference axes, critical profiles, and the features that produce the final solid. - Build from lower-dimensional geometry to higher-dimensional geometry: `Vertex` / `Edge` / `Wire` / `Face` profiles first, then `Solid` features such as extrude, revolve, loft, and sweep. - Keep modeling operations functional. Create new values from public functions such as `make_circle_rface(...)`, `extrude_rsolid(...)`, `cut_rsolid(...)`, and `fillet_rsolid(...)`. - Use keyword arguments for all SimpleCAD function calls, for example `make_box_rsolid(width=10.0, height=20.0, depth=3.0)` instead of positional arguments. - Use `GraphSession` when the model should be replayable, inspectable, exported as model JSON, or translated to another CAD system. - Treat model JSON as the interchange boundary. Prefer `export_model_json(session=...)` and `replay_model_json(json_str=...)` over hand-authored operation payloads. - Use QL for precise grounding. Query faces, edges, centers, normals, areas, lengths, curve types, and tags; print only the facts needed to validate the current step. - Use `get_edges(index)`, `get_faces(index)`, `get_wires(index)`, or `get_vertices(index)` when an indexed topology pick is intentional; these picks are preserved as geo select nodes in replayable graph workflows. - Use tags for semantic intent and selection anchors, such as `role.mounting_surface`, `anchor.datum.primary`, `face.top`, or `group.fasteners`. - Keep numeric and geometric facts in metadata or graph payloads, not in tags. - When a QL-selected face or edge is used by a later feature, expect the graph/model workflow to preserve that selection as a stable geo select node. - For FreeCAD translation, prefer canonical model JSON generated from a `GraphSession`; selected profiles and detail-feature selections should come from the graph rather than ad hoc object lookup. ## Tagging Mental Model - Public tag attachment is `apply_tag(shape=..., tag=...)`. - Public tag inspection is `list_tags(shape=...)`, which returns a stable sorted list. - Tags are normalized lowercase dot-separated semantic tokens, for example `role.mounting_surface`, `anchor.datum.primary`, `group.fasteners`, `face.top`, or `solid.boolean.cut`. - Do not encode numeric dimensions or descriptive geometry payloads in tags; store them in metadata such as `shape.get_metadata("geo")` or `shape.set_metadata(...)`. - `apply_tag(...)` does not expose propagation controls. The SDK propagates role/anchor/group-style semantic tags downward and keeps topology-specific tags such as `face.*`, `edge.*`, `wire.*`, `vertex.*`, and `solid.*` local. - Primitives, face auto-tagging, features, booleans, transforms, and tracking may add normalized topology/operation tags automatically. - Prefer QL tag predicates (`ql.tag("role.*")`, `ql.select(...).where(...)`) for inspection and grounding. ## SDK Focus - This skill is intended to describe the public CAD Python SDK surface. - Prefer the generated API, stdlib, and core docs over environment/bootstrap instructions. - API docs include an `Import Surface` section that distinguishes top-level exports, submodule APIs, and translator backend APIs under `simplecadapi.translator.`. - Stdlib docs include an `Import Surface` section that identifies the package-level `simplecadapi.std.gear` module export. - Use `references/SDK_OVERVIEW.md` for the package-level map. - Use `references/SDK_SURFACES.md` for the main public surfaces. - Use `references/MODELING_WORKFLOWS.md` for graph/model-oriented patterns. ## Example SDK usage ```python import simplecadapi as scad from simplecadapi import GraphSession, export_model_json, make_box_rsolid ``` Typical replayable usage in a Python script: ```python import simplecadapi as scad from simplecadapi import GraphSession, export_model_json, replay_model_json with GraphSession() as session: shape = scad.make_box_rsolid(width=10.0, height=20.0, depth=30.0) model_json = export_model_json(session=session) rebuilt = replay_model_json(json_str=model_json) print(len(rebuilt)) ``` Use the graph/model JSON workflow when the task needs reproducibility, interchange, or replayable outputs. ## References - `references/SDK_OVERVIEW.md` - `references/SDK_SURFACES.md` - `references/MODELING_WORKFLOWS.md` - `references/SDK_PACKAGE_SUMMARY.md` - `references/docs/api/` - `references/docs/stdlib/` - `references/docs/core/`