メニュー
Pipeline skill — command-line USD/Hydra rendering via husk (Karma delegate), checkpoint/resume, scene snapshots, and husk option configuration. Pair with houdini-karma for renderer setup and houdini-render for viewport/ROP renders.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Pipeline skill — viewport capture/flipbook plus ROP render settings and render execution through typed, runtime-aware tools. Exports report written_files, elapsed time, and separate error/warning diagnostics without hanging the host. Pair with houdini-camera-light to set up cameras and lights first.
Scene skill — read-only inspection of the active Houdini hip file and node graphs. Use when you need frame range, hip path, object-level nodes, or node details. Not for creating geometry, sims, or exports — use authoring or interchange skills.
Authoring skill — inspect and edit Houdini node parameters, parameter templates, spare parameters, and channel expressions through typed atomic tools. Use instead of arbitrary Python for reading/setting parms, adding spare parms, and managing expressions. For node connections use houdini-node-graph.
Pipeline skill — generic, adapter-owned project and shot/package automation: set/query the project root, tag and read portable asset metadata, validate a scene for missing files / bad output dirs / dirty state / cook errors, collect file dependencies into a manifest (no copying), and export a shot/package manifest (frame range, cameras, output nodes, caches, written files). No dependency on private production services.
Scene-management skill — typed Houdini scene lifecycle (new/open/save with dirty-scene safeguards), selection (get/set/find), camera discovery, and bounding-box queries. Use these atomic tools instead of arbitrary Python for everyday scene navigation and file operations. Not for node authoring (use houdini-nodes) or geometry/transform edits (use houdini-object-ops).
Set up dcc-mcp-houdini for an agent or operator: install Houdini Python dependencies with hython, generate MCP host configuration, guide the user through the Houdini package / 123.py autostart load step, and run a first live-tool smoke prompt.
| name | houdini-husk |
| description | Pipeline skill — command-line USD/Hydra rendering via husk (Karma delegate), checkpoint/resume, scene snapshots, and husk option configuration. Pair with houdini-karma for renderer setup and houdini-render for viewport/ROP renders. |
| license | MIT |
| compatibility | dcc-mcp-houdini 0.1+, Houdini 20.5+, dcc-mcp-core 0.19.45+ |
| allowed-tools | Bash Read Write Edit |
| metadata | {"dcc-mcp":{"dcc":"houdini","layer":"domain","stage":"pipeline","version":"1.0.0","tags":["houdini","husk","usd","hydra","karma","command_line","checkpoint","snapshot","pipeline"],"search-hint":"husk usd render command line hydra karma checkpoint snapshot resume","tools":"tools.yaml"}} |
Typed husk command-line rendering tools for USD/Hydra workflows. All tools
are affinity: main. render_with_husk is async with a 1-hour timeout
and falls back to hython in-process rendering when the husk binary is
unavailable.
render: render_with_husk — CLI USD rendering via husk with frame
range, resolution, custom args, and hython fallback.checkpoint: create_checkpoint (save intermediate USD state),
create_snapshot (export stage as USD for offline rendering).options: set_husk_options — configure or browse husk CLI options
(renderer, threads, GPU, debug flags) on LOP/ROP nodes.set_husk_options(list_options=true, category="render") → browse available optionscreate_snapshot(source_path="/stage", snapshot_path="/tmp/scene_snapshot.usd", flatten=true)set_husk_options(node_path="/stage/karmarenderproduct1", options={"threads": 8, "verbose": true})create_checkpoint(usd_file="/tmp/scene_snapshot.usd", checkpoint_path="/tmp/checkpoint_001.usd")render_with_husk(usd_file="/tmp/scene_snapshot.usd", output_path="/tmp/render/beauty.$F4.exr", renderer="karma", resolution=[1920, 1080], frame_range=[1, 120]) → written_files, elapsed_secsWhen husk binary is not on PATH, use use_hython_fallback=true for in-process
rendering via Houdini's Python session.