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chore: add minimal Gemini Code Assist configuration and update CODEOWNERS#70

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nearlyforget wants to merge 2 commits intoUniversal-Commerce-Protocol:mainfrom
nearlyforget:gemini-config
Draft

chore: add minimal Gemini Code Assist configuration and update CODEOWNERS#70
nearlyforget wants to merge 2 commits intoUniversal-Commerce-Protocol:mainfrom
nearlyforget:gemini-config

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Description

This PR introduces a minimal configuration for Gemini Code Assist by adding .gemini/config.yaml and ensures the new configuration directory is properly owned in CODEOWNERS.

Category (Required)

Please select one or more categories that apply to this change.

  • Core Protocol: Changes to the base communication layer, global context, or breaking refactors. (Requires Technical Council approval)
  • Governance/Contributing: Updates to GOVERNANCE.md, CONTRIBUTING.md, or CODEOWNERS. (Requires Governance Council approval)
  • Capability: New schemas (Discovery, Cart, etc.) or extensions. (Requires Maintainer approval)
  • Documentation: Updates to README, or documentations regarding schema or capabilities. (Requires Maintainer approval)
  • Infrastructure: CI/CD, Linters, or build scripts. (Requires DevOps Maintainer approval)
  • Maintenance: Version bumps, lockfile updates, or minor bug fixes. (Requires DevOps Maintainer approval)
  • SDK: Language-specific SDK updates and releases. (Requires DevOps Maintainer approval)
  • Samples / Conformance: Maintaining samples and the conformance suite. (Requires Maintainer approval)
  • UCP Schema: Changes to the ucp-schema tool (resolver, linter, validator). (Requires Maintainer approval)
  • Community Health (.github): Updates to templates, workflows, or org-level configs. (Requires DevOps Maintainer approval)

Related Issues

Checklist

  • I have followed the Contributing Guide.
  • I have updated the documentation (if applicable).
  • My changes pass all local linting and formatting checks.
  • (For Core/Capability) I have included/updated the relevant JSON schemas.
  • I have regenerated Python Pydantic models by running generate_models.sh under python_sdk.

Screenshots / Logs (if applicable)

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