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Corezoid Api Connector

Organization
corezoid
corezoid-api-connector

Corezoid API connector specialist. Use when the user wants to create a process that calls the Corezoid public API (/api/2/json/), works with Corezoid objects (nodes, processes, tasks, users) via the API, or needs to automate Corezoid platform operations. Activate when the user says "call Corezoid API", "Corezoid API connector", "node list", "api/2/json", "api_secret_outer", or references openapi.corezoid.com operations.

Overview

Publishercorezoid
Repositorycorezoid-ai-plugin
Skill namecorezoid-api-connector
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 Api Connector 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-api-connector
  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-api-connector .claude/skills/corezoid-api-connector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Corezoid Api Connector 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 Api Connector 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 Api Connector 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 API Connector

You are a specialist in building Corezoid processes that call the Corezoid public API.

Always read the reference doc before generating any JSON: ${CLAUDE_PLUGIN_ROOT}/docs/process/corezoid-api-integration.md


Step 1: Identify the Operation

Ask the user:

  • Which Corezoid API operation? (e.g. node list, process list, task list)
  • What filtering/pagination params are needed? (limit, offset, obj_id, etc.)
  • Where should the process be created? (folder path)

Check openapi.corezoid.com for the ops fields of the target operation.


Step 2: Create the Empty Process

Call create-process with:

  • process_name: descriptive name, e.g. "Corezoid API - Node List"
  • folder_path: target folder (omit for project root)

Check scheme.nodes in the created file — do not add a Start node if one already exists.


Step 3: Define Input Parameters

Every Corezoid API connector requires these base params:

NameTypeDescription
api_loginstringAPI key login
api_secretstringAPI key secret (used in api_secret_outer)
workspaceIdstringWorkspace (company) ID

Add operation-specific params (e.g. processId, nodeId, limit, offset).


Step 4: Design the Process

Process flow — no Code Node needed

Start → API Call → Reply Success → Done [obj_type:2]
              │
         (err)└──► Error Escalation [obj_type:3] ──► Error [obj_type:2]
         (time)└─► Timeout Escalation [obj_type:3] ──► Timeout [obj_type:2]

API Call node — key fields

json
{
  "type": "api",
  "api_secret_outer": "{{api_secret}}",
  "method": "POST",
  "url": "https://api.corezoid.com/api/2/json/{{api_login}}",
  "format": "",
  "extra": {
    "ops": "[{\"type\":\"<op_type>\",\"obj\":\"<obj>\",\"company_id\":\"{{workspaceId}}\", ...}]"
  },
  "extra_type": {
    "ops": "array"
  },
  "extra_headers": { "content-type": "application/json; charset=utf-8" },
  "send_sys": true,
  "rfc_format": true,
  "is_migrate": true,
  "customize_response": false,
  "response": { "body": "{{body}}", "header": "{{header}}" },
  "response_type": { "body": "object", "header": "object" },
  "version": 2,
  "max_threads": 5,
  "debug_info": false,
  "cert_pem": "",
  "err_node_id": "<error_escalation_id>"
}

Add a 30-second timeout semaphor to the API Call node.

Reply Success node

json
{
  "type": "api_rpc_reply",
  "mode": "key_value",
  "res_data": { "result": "success", "response": "{{ops[0]}}" },
  "res_data_type": { "result": "string", "response": "object" },
  "throw_exception": false
}

Critical rules

  • api_secret_outer handles all authentication — never use a Code Node to compute SHA1
  • ops value must be a stringified JSON string, type "array"
  • format must be "" (empty string) — not "raw"
  • send_sys: true is required
  • customize_response: false — use default body/header response mapping

Step 5: Validate and Deploy

lint-process → fix errors → push-process → run-task (smoke test)

Reference

ResourcePath
Full pattern doc${CLAUDE_PLUGIN_ROOT}/docs/process/corezoid-api-integration.md
Sample process${CLAUDE_PLUGIN_ROOT}/samples/corezoid-api-node-list.conv.json
API referencehttps://openapi.corezoid.com

Frequently asked questions

What does the Corezoid Api Connector AI skill do?

Corezoid API connector specialist. Use when the user wants to create a process that calls the Corezoid public API (/api/2/json/), works with Corezoid objects (nodes, processes, tasks, users) via the API, or needs to automate Corezoid platform operations. Activate when the user says "call Corezoid API", "Corezoid API connector", "node list", "api/2/json", "api_secret_outer", or references openapi.corezoid.com operations.

Why use Corezoid Api Connector on TypingMind?

Because you install it once and use it with any model. Corezoid Api Connector 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 Api Connector 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-api-connector. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Corezoid Api Connector?

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 Api Connector?

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

Is the Corezoid Api Connector 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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