Migrate Defender To Cre logo

Migrate Defender To Cre

Organization
OpenZeppelin
migrate-defender-to-cre

Migrate OpenZeppelin Defender Actions, Autotasks, Monitors and scheduled or Relayer-backed workflows to Chainlink CRE. Use when assessing CRE migration feasibility, adapting an existing Defender workflow, or validating its event delivery and onchain permissions. Does not cover migration to the self-hosted OpenZeppelin Relayer when CRE is not requested.

Overview

PublisherOpenZeppelin
Repositoryopenzeppelin-skills
Skill namemigrate-defender-to-cre
Stars
219
Forks
36
Bundled files
4
LicenseAGPL-3.0-only
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Migrate Defender To Cre 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/OpenZeppelin/openzeppelin-skills/tree/main/skills/migrate-defender-to-cre
  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/OpenZeppelin/openzeppelin-skills.git /tmp/openzeppelin-skills
mkdir -p .claude/skills
cp -r /tmp/openzeppelin-skills/skills/migrate-defender-to-cre .claude/skills/migrate-defender-to-cre
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Migrate Defender To Cre 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 Defender To Cre 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 Defender To Cre 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 Defender Workflows to CRE

Adapt the user's workflow, preserving its intended behavior. CRE is one migration path; do not redirect a user who chose another destination. This skill covers EVM and offchain workflows using TypeScript, not every Defender capability or CRE network.

1. Read the project and establish the boundary

Inspect the Action, Monitor configuration, contract permissions when relevant, manifests, lockfiles and existing CRE configuration. Ask only for missing information that changes the design:

  • What starts execution, and which filters, timing requirements or persistent conditions apply?
  • What effect is required, who may perform it, and how are duplicates or missed executions handled?
  • Which network or external service is involved?

Check installed CLI/SDK APIs, current supported networks where applicable, and service quotas. Derive paths, package manager, scripts, config fields and target names from this project. Example layouts are not defaults.

2. Map behavior before changing code

Defender behaviorCRE starting pointPreserve or explicitly resolve
Scheduled Action / AutotaskCron trigger and handlerCadence, timezone and condition for doing work
Event Monitor and responseEVM log trigger and handler predicateEmitting address, event signature, filter semantics and confirmation requirements
Webhook-triggered ActionHTTP triggerRequest authentication and authorized callers
Notification or API actionHTTP capabilityPayload, credentials, duplicate handling and errors
Relayer-backed contract callSigned report → Forwarder → ReceiverNew caller identity and target authorization

Deployed HTTP triggers require requests signed by an authorized EVM key. Unsigned webhook sources need signing support or an authorized intermediary; an unsigned local simulation does not establish deployed compatibility.

Function-call/status monitoring, high-frequency schedules, counters and cooldowns need explicit assessment. Explain unsupported behavior without treating it as fundamentally impossible. Do not implement a changed cadence or weaker condition while awaiting approval. An HTTP trigger is not a proven workaround for service limits. Preserve expression semantics, including math.js operators and numeric precision; persistent counters need durable state and concurrency handling.

3. Consult references for the behavior being migrated

  • Event triggers or outbound notifications/API calls: Events and notifications. Read the relevant sections; receipt replay is only for event-triggered workflows.
  • Onchain writes or Relayer replacement: Onchain actions, before generating a Receiver or changing permissions.
  • Implementation or validation: Runtime and validation, for config resolution, runtime compatibility and evidence boundaries.
  • A matching error or version-specific question: Troubleshooting. Historical findings are diagnostic clues, not universal requirements.

The OpenZeppelin migration examples are optional worked examples. Use a versioned example when it matches the task; do not require its Governor, payload or folder structure.

4. Implement and validate within scope

Make a minimal diff. Import existing library components and inspect their installed APIs. Discover optional generator tools only when needed; do not assume a CRE Receiver generator exists. A notification-only workflow needs no Receiver, and monitoring an existing contract needs no replacement contract.

Local preparation does not authorize deployment, broadcasts, account-access requests, secret mutations or live notifications. Simulation can make real HTTP requests. Use an isolated destination and respect authorization already given. Keep credentials and private endpoints out of tracked files and output.

Report the behavior preserved, checks actually run, untested paths and unresolved decisions. Distinguish local tests, simulation, deployed execution and production readiness.

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 Defender To Cre AI skill do?

Migrate OpenZeppelin Defender Actions, Autotasks, Monitors and scheduled or Relayer-backed workflows to Chainlink CRE. Use when assessing CRE migration feasibility, adapting an existing Defender workflow, or validating its event delivery and onchain permissions. Does not cover migration to the self-hosted OpenZeppelin Relayer when CRE is not requested.

Why use Migrate Defender To Cre on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenZeppelin/openzeppelin-skills/tree/main/skills/migrate-defender-to-cre. 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 Defender To Cre?

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 Defender To Cre?

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

Is the Migrate Defender To Cre AI skill free?

Yes. It is published on GitHub by OpenZeppelin under the AGPL-3.0-only 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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