feat(ai): add Unity gameplay authoring and MCP workflows#1
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Summary
This PR introduces a complete Unity AI authoring workflow focused on reusable gameplay templates, MCP capabilities, content importing, runtime script authoring, scene diagnostics, physics/input workflows, and asset telemetry.
The goal is to make the Unity AI system more reliable, extensible, and useful for creating, importing, auditing, and validating gameplay content directly through structured AI-assisted workflows.
Main Changes
Unity AI gameplay authoring
MCP and bridge improvements
Assets and catalog workflows
Scene, physics, and input workflows
Console, observer, and quality improvements
Testing
Value
This PR strengthens the Unity AI project by making gameplay authoring more structured, testable, and reusable. It also improves MCP integration, scene analysis, content import reliability, runtime script safety, and asset telemetry workflows, which are key pieces for building a more complete AI-assisted Unity development environment.
Notable Commits Covered
feat(unity): expand content import and audit reportingfeat(unity): add guarded runtime script authoringfeat(unity): compose reusable gameplay templatesfeat(mcp): expose content and gameplay capabilitiesfix(mcp): publish complete local tool schemasfix(bridge): survive Unity domain reloadsfix(bridge): recover missing desktop session statefeat(scene): add bounded hierarchy filtersfeat(scene): bind serialized object referencesfeat(physics): add bounded scene diagnosticsfix(physics): preserve Unity 2022 velocity APIfeat(tests): simulate Input System eventsfix(console): isolate blocking compilation errorsfeat(ui): compose and audit quality screensfeat(assets): expand starter catalog aliasesfeat(control): add generic normalization settings telemetrydocs(control): document generic asset telemetry workflows