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Corezoid Lifecycle

Organization
corezoid
corezoid-lifecycle

Safely pauses, resumes, or moves existing Corezoid processes and folders. Use only when the user explicitly asks to pause/unpause/resume/activate a process or to move/relocate/reorganize a specific process or folder. Trigger on "pause process", "resume process", "move process", "move folder", "поставь процесс на паузу", "сними с паузы", "возобнови процесс", "перемести процесс", "перемести папку", "перенеси процесс", or "перенеси папку". Do not activate merely because a review, edit, cleanup, or refactor is in progress; those are not authorization to mutate lifecycle or location.

Overview

Publishercorezoid
Repositorycorezoid-ai-plugin
Skill namecorezoid-lifecycle
Stars
74
Forks
26
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Corezoid Lifecycle 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/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-lifecycle
  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/corezoid/corezoid-ai-plugin.git /tmp/corezoid-ai-plugin
mkdir -p .claude/skills
cp -r /tmp/corezoid-ai-plugin/plugins/corezoid/skills/corezoid-lifecycle .claude/skills/corezoid-lifecycle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Corezoid Lifecycle 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 Corezoid Lifecycle 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 Corezoid Lifecycle 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.

Corezoid Lifecycle and Move Operations

Use this skill for deliberate operational changes to existing Corezoid objects. These tools act on live server state and require explicit user intent.

Read ${CLAUDE_PLUGIN_ROOT}/docs/process/process-lifecycle-and-move.md before the first lifecycle/move operation in a session.

Non-negotiable authorization rule

Never pause, resume, or move an object automatically.

The following are not authorization:

  • a process appears unused;
  • a review or refactor is in progress;
  • edits/tests have completed;
  • a folder layout looks untidy;
  • pausing or moving would be a convenient safety precaution.

The user must directly ask for the specific action. If the exact object or destination is ambiguous, resolve candidates read-only and ask the user to choose. Do not infer a target.

Required two-step workflow

For all four tools:

  1. Resolve and repeat back the exact object ID/title. For moves, also resolve the exact destination ID/path.
  2. Call the tool with apply=false (or omit apply).
  3. Present the dry-run, including current state/location, target, operational effects, and the exact confirmation token.
  4. Ask for explicit confirmation. Do not invent confirmation from earlier general approval. The token is reconstructable and is not itself evidence that the user approved the operation.
  5. Only after confirmation, call apply=true with the exact token returned by the fresh dry-run.
  6. Report the tool's verified result. If it says verification failed or state may already have changed, stop and run a new dry-run; never retry blindly.

Pause a process

Use:

text
pause-process(process_id=<id>)
pause-process(process_id=<id>, apply=true,
              confirm="process#<id>:<live_status>->paused")

Explain before confirmation:

  • Corezoid will reject new task creation with conveyor_is_not_active.
  • The graph and deployment are unchanged.
  • Already-running or parked tasks are not modified by this tool and must be inspected separately.
  • Pause is temporary admission control, not evidence that a process is safe to delete.

Pause can support a user-chosen maintenance/observation window. Never choose that window on the user's behalf.

Resume a process

Use:

text
resume-process(process_id=<id>)
resume-process(process_id=<id>, apply=true,
               confirm="process#<id>:<live_status>->active")

Before confirmation, verify with the user that maintenance is complete and that the process may receive traffic. New tasks can arrive immediately from API callers, schedules, callbacks, and other processes. Never auto-resume just because this session originally paused the process.

Move a process

Use:

text
cz-structure {"action": "move-process", "args": {"process_id": <id>, "destination_folder_id": <folder>}}
cz-structure {"action": "move-process", "args": {"process_id": <id>, "destination_folder_id": <folder>,
                    "apply": true, "confirm": "<exact context-bound token from the fresh dry-run>"}}

The operation reparents the existing process. It preserves the same ID and graph; it does not copy, import, or deploy.

If the dry-run reports a project/stage/root context change, explain the alias, environment-variable, access, and deployment risks. Proceed only after the user accepts those risks, adding allow_cross_stage=true to the confirmed call.

Move a folder

Use:

text
cz-structure {"action": "move-folder", "args": {"folder_id": <id>, "destination_folder_id": <folder>}}
cz-structure {"action": "move-folder", "args": {"folder_id": <id>, "destination_folder_id": <folder>,
                    "apply": true, "confirm": "<exact context-bound token from the fresh dry-run>"}}

Only normal folders can be moved. The action rejects projects/stages, self-move, and moving a folder into a descendant. For cross-stage/root moves, the risks apply to every descendant and allow_cross_stage=true is required after the user accepts them.

After a move

The MCP tool does not relocate local mirror files/directories. Re-pull the destination and verify it before removing any stale local copy. Local cleanup also requires explicit user intent; never delete the old local path merely because the server move succeeded.

Frequently asked questions

What does the Corezoid Lifecycle AI skill do?

Safely pauses, resumes, or moves existing Corezoid processes and folders. Use only when the user explicitly asks to pause/unpause/resume/activate a process or to move/relocate/reorganize a specific process or folder. Trigger on "pause process", "resume process", "move process", "move folder", "поставь процесс на паузу", "сними с паузы", "возобнови процесс", "перемести процесс", "перемести папку", "перенеси процесс", or "перенеси папку". Do not activate merely because a review, edit, cleanup, or refactor is in progress; those are not authorization to mutate lifecycle or location.

Why use Corezoid Lifecycle on TypingMind?

Because you install it once and use it with any model. Corezoid Lifecycle 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 Corezoid Lifecycle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-lifecycle. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Corezoid Lifecycle?

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 Corezoid Lifecycle?

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

Is the Corezoid Lifecycle AI skill free?

Yes. It is published on GitHub by corezoid 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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