Individual skill

dcc-diagnostics

Infrastructure skill — DCC-agnostic observability primitives: capture screenshots, query audit logs, inspect tool performance metrics, and monitor process health. Works in any DCC environment (Maya, Blender, Houdini, Unreal, etc.) or standalone Python. Use for debugging any skill failure or verifying DCC state. Not for primary task execution — use a domain skill for actual DCC operations.

examples/skills/dcc-diagnostics/SKILL.md

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# DCC Diagnostics

Cross-DCC observability and debugging tools powered by `dcc-mcp-core`.

All tools work in any DCC environment (Maya, Blender, Houdini, Unreal, 3ds Max)
or standalone Python — no DCC-specific APIs required.

## Tools

### `dcc_diagnostics__screenshot`

Capture the current screen or a specific window as a PNG/JPEG image.
Backed by the `dcc_mcp_core.Capturer` class which uses:
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