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Migrate To Codex

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openai
migrate-to-codex

Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.

Overview

Publisheropenai
Repositoryskills
Skill namemigrate-to-codex
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27.8K
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Bundled files
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  • 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.

  • 17 bundled files

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

  • Open source

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

Installation

Install the Migrate To Codex 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/openai/skills/tree/main/skills/.curated/migrate-to-codex
  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/openai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/.curated/migrate-to-codex .claude/skills/migrate-to-codex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Migrate To Codex 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 To Codex 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 To Codex 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 to Codex

Autonomy

Keep going until the selected migration is completely done: run the migrator, inspect the report, fix migrated Codex instructions/skills/agents/MCP config, and re-run checks without stopping to ask for confirmation of the next step. If the user has selected a target, do not ask before creating, editing, replacing, or deleting generated Codex artifacts in that target (AGENTS.md, .codex/, .agents/, or ~/.codex/). Preserve unrelated existing Codex config entries in .codex/config.toml or ~/.codex/config.toml, such as notify, projects, marketplaces, or unrelated MCP servers; do not ask about them unless they fail validation or directly conflict with the migration. Do not edit source Claude Code files (.claude/, ~/.claude/, .mcp.json, or .claude.json), unrelated project code, secrets, or another repository.

Migration Order

Run the migration in this order for each selected global or project source:

  1. Start by using Codex's built-in TODO/task list tool. Do not create MIGRATION_TODOS.md or any TODO file unless the user explicitly asks. The TODO list input has a plan array whose items each have step and status; use statuses pending, in_progress, and completed. Make the TODOs specific to the selected artifacts. Before finishing, update the TODO list so every finished step is marked completed and no step remains in_progress. Use literal source → Codex target labels, for example:

    • Inspect .claude/commands → Codex skills/prompts
    • Inspect .claude/agents → .codex/agents
    • Inspect .mcp.json → .codex/config.toml MCP servers
    • Inspect .claude/settings.json hooks → .codex/hooks.json
    • Migrate safe selected artifacts → Codex files
    • Validate generated .codex/config.toml
    • Validate generated .codex/agents
    • Report migrated artifacts and manual-review items
  2. Read references/differences.md (and refresh Codex docs if its Docs last checked date is old).

  3. Scan and inspect before writing:

    • --scan-only lists active and inactive source surfaces.
    • --plan prints staged Codex artifact paths and report rows.
    • --doctor summarizes readiness, manual-review work, and validation risks.
  4. Convert surfaces in the same order the CLI uses:

    • instructions: CLAUDE.md / AGENTS.md to AGENTS.md
    • plugins: report Claude plugin trees and marketplaces as manual migration work
    • hooks: rewrite supported Claude hooks into .codex/hooks.json and enable [features].codex_hooks = true
    • skills and commands: write Codex skills under .agents/skills/
    • config: write .codex/config.toml from Claude model/sandbox settings and MCP servers, including personality = "friendly" when config is generated
    • subagents: write Codex custom agents under .codex/agents/
  5. Dry-run, then write the selected target. Use --replace only when orphan generated skills or agents should be deleted.

  6. Inspect the terminal output and .codex/migrate-to-codex-report.txt after real runs.

  7. Review generated artifacts in this order: AGENTS.md, .agents/skills/, .codex/config.toml, .codex/hooks.json, .codex/agents/, then report-only plugin items.

  8. Run --validate-target against each target after edits.

  9. Re-run checks and --dry-run after edits.

  10. Return the final migration report as one markdown table per scope that has rows. The tables cover only the non-native follow-up migration work you performed, such as skills created from slash commands, subagents, MCP servers, hooks, unsupported/local plugin notes, and manual-review caveats. Include programmatic native import rows for config, instructions, skills, or supported plugins only if you personally migrated them in this follow-up run.

    If only one scope has rows, render only the table with no heading. If multiple scopes have rows, render one heading before each table. Use **User Config** for user-scope rows. For project-scope rows, use the actual project folder name as the heading, for example **northstar-support-portal**; do not use Current Project as the heading. Do not add prose before or after the table output.

    Use exactly these columns:

    northstar-support-portal

    StatusItemNotes
    AddedSlash command pr-reviewConverted into a Codex skill
    AddedSubagent release-leadAdded as a Codex subagent
    Check before usingHook PreToolUseConverted, but some Claude hook behavior differs in Codex
    Not AddedHook NotificationCodex does not have an equivalent notification hook
    Not AddedPlugin team-macrosPlugin needs manual setup

    Status must be Added, Check before using, or Not Added. Use Added when a Codex-facing artifact was created or changed and needs no special review. Use Check before using when a Codex-facing artifact was created or changed but the migration changed semantics, inferred behavior, preserved tool rules as guidance, or dropped unsupported behavior. Use Not Added when a source artifact was detected but no Codex-facing artifact was created. Item combines the artifact type and concrete item name in one cell. Artifact type must be singular: Skill, Slash command, Subagent, MCP, Hook, or Plugin. Wrap the artifact type in inline code; write the item name as plain text after it. Notes is always required; never leave it empty. Keep notes short, plain, and literal. Avoid internal implementation terms such as runtime expansion. Prefer phrases like Converted into a Codex skill, Added as a Codex subagent, Added to Codex config, Converted into a Codex hook, Converted, but some Claude hook behavior differs in Codex, Codex does not have an equivalent notification hook, Plugin needs manual setup, or Plugin marketplace needs manual setup.

Self-Healing Loop

Keep looping until the selected migration is complete:

  1. Run --plan or --doctor.
  2. Run the migration with --dry-run.
  3. Run the migration for real.
  4. Fix every generated ## MANUAL MIGRATION REQUIRED block and every manual_fix_required or skipped report row that can be resolved inside Codex artifacts.
  5. Run --validate-target.
  6. Re-run the migrator and validator until the report and validator have no actionable generated-artifact fixes left.

Do not edit source Claude Code files, unrelated project code, secrets, or another repository during this loop. If a report row requires source-provider changes or product judgment, leave the generated Codex artifact with clear manual guidance instead of changing the source.

Commands

Choose the migrator command.

bash
MIGRATE_TO_CODEX='python3 .codex/skills/migrate-to-codex/scripts/migrate-to-codex.py'

Inspect the migration before writing.

bash
$MIGRATE_TO_CODEX --source ~/.claude/ --scan-only
$MIGRATE_TO_CODEX --source ~/.claude/ --target ~/.codex/ --plan
$MIGRATE_TO_CODEX --source ~/.claude/ --target ~/.codex/ --doctor

Dry-run, then run without --dry-run, for global and project.

bash
$MIGRATE_TO_CODEX --source ~/.claude/ --target ~/.codex/ --dry-run
$MIGRATE_TO_CODEX --source ~/.claude/ --target ~/.codex/
$MIGRATE_TO_CODEX --source ./.claude/ --target ./.codex/ --dry-run
$MIGRATE_TO_CODEX --source ./.claude/ --target ./.codex/

Run the post-migration validator against each target after edits.

bash
$MIGRATE_TO_CODEX --validate-target ~/.codex/
$MIGRATE_TO_CODEX --validate-target ./.codex/

Run $MIGRATE_TO_CODEX --help for flags (--scan-only, --plan, --doctor, --validate-target, defaults, and so on). Deep tables and more links are in references/differences.md.

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 To Codex AI skill do?

Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.

Why use Migrate To Codex on TypingMind?

Because you install it once and use it with any model. Migrate To Codex 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 To Codex in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openai/skills/tree/main/skills/.curated/migrate-to-codex. 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 To Codex?

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 To Codex?

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

Is the Migrate To Codex AI skill free?

It is published on GitHub by openai. Check the repository for licensing terms. 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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