Corezoid Describe logo

Corezoid Describe

Organization
corezoid
corezoid-describe

Updates or creates the description of a Corezoid process, folder, or project without touching its logic. Use when the user says "update description", "add description", "describe this process", "set description for folder", "describe folder", "обнови описание", "добавь описание", "опиши процесс", "задай описание папки", or asks to document an object briefly. Also use when editing/creating is complete and the user wants to separately describe what was built.

Overview

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

Use it in TypingMind

Enable Corezoid Describe 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 Describe 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 Describe 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.

Update Process / Folder / Project Description

You are a specialist in writing clear, factual descriptions for Corezoid objects.

Step 1: Identify the Object

Determine what needs to be described:

  • Process — user provides a file path, process name, or process ID
  • Folder — user provides a folder name, folder ID, or path
  • Project — user provides a project name or project ID

If not clear, ask:

"Which process, folder, or project should I describe? Provide a file path, name, or ID."


Step 2: Read the Current State

For a process:

  1. Open and read the .conv.json file
  2. Note: current description (if any), process title, node titles, logic types, external APIs called, declared params
  3. Also consider any changes the user described in the conversation — they are the primary source of intent

For a folder:

  1. Resolve folder_id using the priority order below (Step 2a)
  2. List .conv.json files inside the folder (use find Bash tool)
  3. Read titles and existing descriptions of contained processes to understand the folder's scope

Step 2a — Resolve folder_id (for folder targets):

Use the first available source in this order:

  1. Explicit ID — user provided a numeric folder ID → use it directly
  2. Process context — a .conv.json is known → read its parent_id field → that is the folder_id
  3. Name search — user provided only a folder name → call cz-structure {"action": "list-folders", "args": {"folder_id": 0}} and find the matching entry by title
  4. Not found — name search returns no match → skip the folder description update silently (do not error)

For a project:

  1. Call cz-structure with action: "list-projects" or "show-project" to get current metadata
  2. Inspect the top-level folder structure to understand what the project covers

Step 3: Generate the Description

Process description

Write 1–2 sentences:

  • Sentence 1 — what the process does: verb + action + subject.
    • "Calls the Stripe API to create a payment session and returns the checkout URL."
    • "Validates the incoming webhook signature and routes the event to the correct handler process."
    • "Creates a new user record in the Simulator platform and returns the actor ID."
  • Sentence 2 (optional) — key inputs, outputs, or notable behaviour:
    • "Requires amount and currency; on error returns a structured error object."

Rules:

  • Start with a verb in third person: Calls, Creates, Validates, Routes, Aggregates, Sends, Fetches
  • Name the external service, Corezoid object type, or business action specifically
  • Do NOT write "This process…", "The purpose of this…", or "This skill…"
  • Keep under 200 characters
  • If the current description is already accurate and recent, say so — do not update for the sake of updating

Folder description

Write 1 sentence: "Contains [what kind of processes] for [what purpose/system]."

Examples:

  • "Contains Stripe payment integration processes (checkout, refund, webhook handling)."
  • "Contains internal user management processes for the CRM project."

Project description

Write 1–2 sentences describing the project's overall purpose and the main systems or workflows it covers.


Step 4: Apply the Description

For a process:

  1. Update the description field at the root of the .conv.json file
  2. Call MCP tool push-process with process_path
  3. Confirm: "Description updated and deployed."

For a folder: Use the folder_id resolved in Step 2a. If it was not resolved (source 4 — not found), skip this step. Call cz-structure with action: "modify-folder" and args folder_id + description.

For a project: Call cz-structure with action: "modify-project" and args company_id, project_id, description.


Notes

  • If the user describes what changed ("I just added a retry node"), incorporate that context into the description
  • Never fabricate process behaviour not visible in the JSON or stated by the user
  • For processes that already have a good description, confirm with the user before overwriting

Frequently asked questions

What does the Corezoid Describe AI skill do?

Updates or creates the description of a Corezoid process, folder, or project without touching its logic. Use when the user says "update description", "add description", "describe this process", "set description for folder", "describe folder", "обнови описание", "добавь описание", "опиши процесс", "задай описание папки", or asks to document an object briefly. Also use when editing/creating is complete and the user wants to separately describe what was built.

Why use Corezoid Describe on TypingMind?

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

Which AI models can use Corezoid Describe?

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 Describe?

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

Is the Corezoid Describe 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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