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Holds canonical source and target environment parameters and verified DataStore mappings.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/GoogleCloudPlatform/generative-ai --skill migration-config-skillコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Produce a formal business document as .docx (python-docx) or PDF (reportlab) - reports, proposals, briefings, one-pagers, meeting summaries. Use whenever the task asks for a written document, report file, proposal, or PDF. Covers structure, typography, build and delivery.
Build a professional, executive-quality presentation deck (.pptx) with python-pptx. Use whenever the task asks for slides, a deck, a board/executive presentation, or a pitch. Covers design system, slide patterns, build process, and delivery.
Build a polished, self-contained single-page HTML report or briefing microsite - executive briefings, analysis reports, campaign/project one-pagers rendered for the browser. Use whenever the task asks for a web page, HTML report, briefing page, or microsite. Covers page architecture, design system, charts, and delivery.
SOC 職業分類に基づく
SKILL.md を表示中
| name | migration-config-skill |
| description | Holds canonical source and target environment parameters and verified DataStore mappings. |
| metadata | {"environments":{"source":{"project_number":"<SOURCE_PROJECT_NUMBER>","project_id":"<SOURCE_PROJECT_ID>","region":"global","engine_id":"<SOURCE_ENGINE_ID>"},"target":{"project_number":"<TARGET_PROJECT_NUMBER>","project_id":"<TARGET_PROJECT_ID>","region":"global","engine_id":"<TARGET_ENGINE_ID>"}},"datastores_mapping":{"<SOURCE_DATASTORE_ID_SUFFIX>":"<TARGET_DATASTORE_ID_SUFFIX>"},"connectors_mapping":{"ge-drive-all":"Drive","GeGmail":"geGmail","googleSearch":"googleSearch","urlContext":"urlContext"}} |
This file serves as the single source of truth for Gemini Enterprise migrations. Administrators can fully configure source-to-target resource pairings by updating the YAML metadata frontmatter above.
Set your official canonical source and target project definitions under environments:
project_number: The numeric Google Cloud Project Number (e.g., 404109417257).engine_id: The fully qualified Discovery Engine app/engine ID.datastores_mapping)Map underlying knowledge search collections and grounding data stores (assigned under dataStoreSpecs) using their exact resource ID suffix:
datastores_mapping:
# Source ID -> Target ID
example-mcp-source_12345_mcp_data: example-mcp-target_67890_mcp_data
example-drive-source_12345_google_drive: example-drive-target_67890_google_drive
Note: Always use the fully qualified ID suffix (e.g., _google_drive, _mcp_data) to prevent substring truncation.
connectors_mapping)Map display aliases and frontend extension tool chips (assigned under selectedTools) to ensure visual rendering parity in the Agent Designer UI canvas:
connectors_mapping:
# Source UI Badge -> Canonical Target UI Token
"Example Source Connector": custom_mcp
"example-drive": Drive
Once configured, run live migrations or offline GCS imports directly:
# 1. Execute live cross-environment migration
uv run ./migrate.py migrate-agent "Quarterly Business Review Generator" --force
# 2. Import agent definition from GCS offline backup
uv run ./migrate.py import-agent-gcs quarterly_business_review_export.json --target-engine <TARGET_ENGINE_ID>