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Create pose skeleton

create_pose_skeleton

Render a live stick-figure skeleton from full-body pose tracking, with glowing lines connecting 33 landmarks, using synthetic, MediaPipe, OSC, or existing CHOP pose sources.

Instructions

Render a live stick-figure skeleton from full-body pose tracking — the classic MediaPipe body-tracking look: glowing lines connecting the 33 landmarks (shoulders, elbows, wrists, hips, knees, ankles) drawn by a Line MAT and rendered to a Null TOP you can composite or post-process. Source defaults to a SYNTHETIC animated pose so it builds and previews instantly with no camera and no plugin; switch to 'mediapipe' (the free torinmb plugin), 'osc', or an existing pose CHOP (e.g. from create_pose_tracking) for the real performer. Creates a new baseCOMP under parent_path holding the pose source, a Geometry COMP (a Script SOP that rebuilds points + bones each cook), a Line MAT, a Camera, a Render TOP, and a Null output. Use create_body_reactive instead for glowing dots/trails at the landmarks rather than a connected stick figure. Exposes LineColor / LineWidth / CamDistance. Returns a summary plus a JSON block with the container path, created node paths, the skeleton SOP and output paths, the bone count, exposed controls, any node errors, warnings, and an inline preview image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNoWhere the 33-landmark pose stream comes from. 'synthetic' (default) = a self-contained animated human pose that needs NO camera and NO plugin — use it to build and preview the look instantly. 'mediapipe' = the live CHOP from the free torinmb/mediapipe-touchdesigner plugin (point mediapipe_chop_path at its pose landmarks CHOP). 'osc' = landmarks arriving over OSC (osc_port). 'existing_chop' = a pose CHOP you already built (e.g. the output of create_pose_tracking).synthetic
mediapipe_chop_pathNoPath to the MediaPipe plugin's pose-landmarks CHOP (source='mediapipe'). The plugin emits 33 samples with tx/ty/tz channels.
osc_portNoUDP port the OSC In CHOP listens on (source='osc').
existing_chop_pathNoPath of an existing pose CHOP — 33 samples, tx/ty/tz channels (source='existing_chop').
line_colorNoBone colour as hex ('#rrggbb'). Drives the Line MAT; default is bright cyan.#33ffe6
line_widthNoBone thickness in pixels (Line MAT near width). Exposed as a live knob.
camera_distanceNoCamera distance on Z. Default frames a whole standing figure in 16:9; larger = further/smaller. Exposed as a live knob.
expose_controlsNoWhen true (default), expose live LineWidth / CamDistance knobs (+ a LineColor swatch).
parent_pathNoParent network where the pose-skeleton container is created (default '/project1')./project1
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses key behavioral details: it creates a new baseCOMP with specific child nodes (pose source, Geometry COMP, Line MAT, Camera, Render TOP, Null output), exposes controls (LineColor, LineWidth, CamDistance), and returns a summary with paths and errors. This aligns with annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=true) and adds context beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense paragraph, but it is well-structured: it starts with the core visual output, then explains source options, created components, sibling comparison, exposed controls, and return value. It is front-loaded with the main purpose, though slightly lengthy; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (9 parameters, creates multiple nodes, no output schema), the description covers all critical aspects: main functionality, four data sources, created node hierarchy, exposed controls, return format (summary + JSON block), and an inline preview. It is fully adequate for an agent to understand and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with descriptions for all parameters. The description adds value by explaining the purpose of the `source` enum values (e.g., 'synthetic' for instant preview without camera) and mentioning that LineColor/LineWidth/CamDistance are exposed as live knobs. This enhances understanding beyond the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool renders a live stick-figure skeleton from full-body pose tracking, specifying 33 landmarks, glowing lines, and the visual output. It distinguishes itself from the sibling `create_body_reactive` by contrasting the stick-figure vs. glowing dots/trails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool and alternatives: it mentions `create_body_reactive` as an alternative for a different visual style. It also details the source options (synthetic, mediapipe, osc, existing_chop) and their use cases, helping the agent select the appropriate configuration.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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