How do I install the Migration Config Skill skill?

Run npx skillmds@latest add tomevault-io/migration-config-skill in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Migration Config Skill safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Migration Config Skill?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Migration Config Skill free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Migration Config Skill?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Migration Config Skill by tomevault-io

Name: Migration Config Skill
Author: tomevault-io

File contents

ADK Administration Setup & Migration Instructions

This file serves as the single source of truth for cross-environment Gemini Enterprise app agent migrations. Administrators can fully configure source-to-target resource pairings by updating the YAML metadata frontmatter above.

Administrative Setup Guide

1. Environments Configuration

Set your official canonical source and target project definitions under environments:

project_number: The numeric Google Cloud Project Number (e.g., 123456789012).
engine_id: The fully qualified Discovery Engine app/engine ID.

2. DataStore Grounding Mappings (`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
  snowflake-mcp-may29_1780067471814_mcp_data: snowflake-mcp-may29_1780829795319_mcp_data
  ge-drive-all_1776953145638_google_drive: ge-drive-all_1780835769760_google_drive

Note: Always use the fully qualified ID suffix (e.g., _google_drive, _mcp_data) to prevent substring truncation.

3. Visual Connector & Tool Mappings (`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
  Snowflake Mcp May29: custom_mcp
  ge-drive-all: Drive

Operational Execution

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>

Source: GoogleCloudPlatform/generative-ai — distributed by TomeVault.

---name: migration-config-skilldescription: Holds canonical source and target environment parameters and verified DataStore mappings. Use when this capability is needed.---# ADK Administration Setup & Migration InstructionsThis file serves as the single source of truth for cross-environment Gemini Enterprise app agent migrations. Administrators can fully configure source-to-target resource pairings by updating the YAML metadata frontmatter above.---## Administrative Setup Guide### 1. Environments ConfigurationSet your official canonical source and target project definitions under `environments`:- **`project_number`**: The numeric Google Cloud Project Number (e.g., `123456789012`).- **`engine_id`**: The fully qualified Discovery Engine app/engine ID.### 2. DataStore Grounding Mappings (`datastores_mapping`)Map underlying knowledge search collections and grounding data stores (assigned under `dataStoreSpecs`) using their exact resource ID suffix:```yamldatastores_mapping: # Source ID -> Target ID snowflake-mcp-may29_1780067471814_mcp_data: snowflake-mcp-may29_1780829795319_mcp_data ge-drive-all_1776953145638_google_drive: ge-drive-all_1780835769760_google_drive```*Note: Always use the fully qualified ID suffix (e.g., `_google_drive`, `_mcp_data`) to prevent substring truncation.*### 3. Visual Connector & Tool Mappings (`connectors_mapping`)Map display aliases and frontend extension tool chips (assigned under `selectedTools`) to ensure visual rendering parity in the Agent Designer UI canvas:```yamlconnectors_mapping: # Source UI Badge -> Canonical Target UI Token Snowflake Mcp May29: custom_mcp ge-drive-all: Drive```---## Operational ExecutionOnce configured, run live migrations or offline GCS imports directly:```bash# 1. Execute live cross-environment migrationuv run ./migrate.py migrate-agent "Quarterly Business Review Generator" --force# 2. Import agent definition from GCS offline backupuv run ./migrate.py import-agent-gcs Quarterly_Business_Review_export.json --target-engine <TARGET_ENGINE_ID>```---> Source: [GoogleCloudPlatform/generative-ai](https://github.com/GoogleCloudPlatform/generative-ai) — distributed by [TomeVault](https://tomevault.io).

Frequently asked questions

Migration Config Skill