dcc-diagnostics
From the author
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.
Install
npx skills add dcc-mcp/dcc-mcp-core --skill dcc-diagnostics -a claude-code
Installs to .claude/skills/dcc-diagnostics/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 76
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