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Migrate Customizations

OrganizationPopular
microsoft
migrate-customizations

Guide a safe, reversible migration of VS Code local agent customizations when launched from the Agent Customizations Migrations page with VS Code-generated migration context.

Overview

Publishermicrosoft
Repositoryvscode
Skill namemigrate-customizations
Stars
193.6K
Forks
45.2K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Migrate Customizations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/microsoft/vscode/tree/main/extensions/copilot/assets/prompts/skills/migrate-customizations
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/vscode.git /tmp/vscode
mkdir -p .claude/skills
cp -r /tmp/vscode/extensions/copilot/assets/prompts/skills/migrate-customizations .claude/skills/migrate-customizations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Migrate Customizations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Migrate Customizations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Migrate Customizations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Migrate Agent Customizations

Guide the user through migrating the inventory included in the invoking prompt. The source locations and valid target folders in that prompt were evaluated for the selected harness. Treat them as authoritative: do not substitute hardcoded destination paths or migrate to a folder that is not listed.

Required Migration Context

Before doing anything else, verify that the invoking prompt includes all of the following VS Code-generated values:

  • Selected harness
  • Migration telemetry flow
  • Recovery bundle folder and filesystem path
  • Customizations that need migration
  • Valid target folders reported by the selected harness

If any value is missing, do not inspect, copy, move, convert, or delete customizations. Explain that this workflow must be started from Agent Customizations > Migrations by selecting Migrate with Agent, then stop. Do not ask the user to manually reconstruct or paste the missing context.

Read migration techniques before proposing changes.

Safety Contract

  1. Never modify a customization before creating a recovery bundle.
  2. Use the recovery bundle folder supplied in the invoking prompt. VS Code created and is watching this folder; do not move it or substitute another location.
  3. In the recovery bundle, create:
    • migration-log.md, containing the selected harness, scope, timestamps, source and destination paths, commands or tools used, validation results, and every user decision.
    • backups/, containing a byte-for-byte copy of every file before its first modification or deletion.
    • restore.md, containing exact steps for restoring the backups and reverting newly created files.
    • migration-results.json, containing only the privacy-safe aggregate schema described in Finish. VS Code watches this file for the final migration outcome.
  4. Append to the log after every attempted operation, including failures and rollbacks.
  5. Approval to migrate a group authorizes destination writes only; it does not authorize deleting source files, removing source MCP entries, or clearing location settings. Preserve sources by default. After the destination is validated, ask separately for explicit approval for each kind of cleanup. If runtime validation is not possible, explain what was and was not verified, keep the source, and ask whether to defer cleanup.
  6. Stop on an unexpected source change, destination conflict, invalid configuration, failed backup, or failed validation. Explain the problem instead of guessing.
  7. Never include customization names, paths, contents, MCP configuration, or other user data in telemetry.
  8. Classify each inventory item exactly once using its supplied category and scope. Do not offer the same item again in another group; if groups overlap, explain the overlap and use the item's inventory category to decide where it is handled.

Workflow

1. Choose Scope

Ask whether to migrate:

  • user customizations,
  • workspace customizations, or
  • both.

Do not act on an unselected scope.

If workspace customizations are selected, ask whether the user wants a pull request. If they do, keep workspace changes focused, include the validation evidence and migration rationale in the pull request, and do not include a recovery bundle stored outside the repository.

2. Review the Plan

Classify the supplied inventory by its reported category and scope, then handle applicable items in this order:

  1. prompt files that should become skills;
  2. VS Code profile user-data agents, instructions, and skills;
  3. MCP servers;
  4. workspace or user customizations at locations defined by settings chat.agentSkillsLocations, chat.instructionsFilesLocations, and chat.agentFilesLocations.

The groups are mutually exclusive for an inventory item. In particular, a file reported under configuredLocations belongs in group 4, not group 2, even if its type is agent, instruction, or skill. If a previously skipped item would otherwise reappear in a later group, do not ask about it again unless the user requests reconsideration.

Before each group:

  • explain why the migration is useful;
  • list the source and harness-reported destination locations;
  • describe changes that cannot be preserved;
  • state explicitly that approval covers destination writes only and that source cleanup will require a separate approval;
  • ask for confirmation to proceed with that group.

Work one group at a time. Do not request approval for all writes at once.

3. Migrate Prompt Files to Skills

Explain the compatibility reason for converting each prompt to a skill. Convert each selected prompt into a skill directory with a SKILL.md, preserving supported name, description, argument guidance, invocation semantics, and body content. Add disable-model-invocation: true when needed to preserve an explicit-invocation-only prompt. Record unsupported frontmatter in the log for review; do not silently drop behavior.

Validate that each skill has valid frontmatter, a meaningful description, and a folder name that matches the skill name. Distinguish structural validation from runtime validation: test discovery and representative invocation in the selected destination harness when possible. A file inspection or a test against a different harness is not proof that the destination harness loads the skill. If runtime validation requires a new session or is otherwise unavailable, say so, leave the source in place, and defer cleanup unless the user explicitly chooses otherwise after hearing the limitation.

4. Migrate User Data

Explain that Agent Host doesn't read the VS Code profile user data folder. It only reads the harness's user folders. Copy selected agents, instructions, and skills to a compatible listed destination without silently changing their contents. Keep user-scope items in user scope. Explain that approval to copy does not authorize deleting the VS Code source or changing sync/location settings; ask for those separately after validation.

5. Migrate MCP Servers

Explain that moving MCP configuration lets the selected Agent Host load the server directly. Review every server separately, including destination conflicts and properties the destination format cannot preserve. Call out that a disabled user server might become enabled after migration.

Write and statically validate the destination before considering source cleanup. Leave unselected, unsupported, and conflicting servers unchanged. Test that migrated servers are discovered and can start in the selected destination harness; spawning a command directly can verify process behavior, but does not by itself prove that the harness discovers or loads the configuration. If destination-harness testing is unavailable, report that limitation and keep source entries.

Approval for this group authorizes destination writes only. After successful destination validation, ask separately whether to remove each migrated or already-equivalent source entry. Do not remove a source entry merely because its destination entry was written or because the user approved the group.

6. Customizations at Custom Locations

Files in custom locations defined by chat.agentSkillsLocations, chat.instructionsFilesLocations, and chat.agentFilesLocations can continue to work when the selected harness is connected to VS Code. Moving them to a harness-reported standard location may improve portability or consistency, but is not automatically required for compatibility. Explain this trade-off before asking whether to migrate.

Handle only items reported as configuredLocations and not already handled in another group. Do not re-offer files the user explicitly skipped. Treat moving a file, deleting its old copy, and clearing or changing the location setting as separate actions; obtain explicit approval for each cleanup action after validating the destination.

7. Finish

Before the final summary, write migration-results.json in the recovery bundle:

json
{
  "version": 1,
  "migrationFlowId": "<flow from the invoking prompt>",
  "cancelled": false,
  "results": [
    {
      "category": "promptFiles",
      "scope": "workspace",
      "customizationType": "skill",
      "outcome": "migrated",
      "count": 1
    }
  ]
}

Aggregate results by:

  • category: promptFiles, userData, configuredLocations, or mcpServers;
  • scope: user or workspace;
  • customization type: agent, instructions, skill, or mcpServer;
  • outcome: migrated, skipped, or failed.

The total reported for each category, scope, and customization type must not exceed the inventory supplied by VS Code. The result file must never include names, paths, contents, configuration values, error messages, or other user data.

Write the validated JSON to the exact recovery bundle supplied by VS Code. Do not write a result file when no migration telemetry flow was supplied.

If the user stops the workflow, set cancelled to true, record completed work with its actual outcome, mark the remaining inventory as skipped, and still validate and write the result file before the final cancellation summary.

Summarize:

  • migrated, skipped, and failed items;
  • created, modified, deleted, and retained files;
  • validation performed;
  • cleanup still pending;
  • recovery bundle and restoration instructions;
  • pull request URL when one was requested.

Keep the recovery bundle until the user confirms the migrated customizations work.

For a requested pull request, verify the final diff contains only approved workspace changes, exclude the recovery bundle, and include the migration rationale and actual validation performed. Do not claim runtime validation when only static checks or direct process tests were possible.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Migrate Customizations AI skill do?

Guide a safe, reversible migration of VS Code local agent customizations when launched from the Agent Customizations Migrations page with VS Code-generated migration context.

Why use Migrate Customizations on TypingMind?

Because you install it once and use it with any model. Migrate Customizations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Migrate Customizations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/vscode/tree/main/extensions/copilot/assets/prompts/skills/migrate-customizations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Migrate Customizations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Migrate Customizations?

As many as you like. As long as a model supports skills, you can use Migrate Customizations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Migrate Customizations AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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