Corezoid Feedback logo

Corezoid Feedback

Organization
corezoid
corezoid-feedback

Collects and submits bug reports, improvement requests, and quality signals about the Corezoid plugin to the Corezoid team. Activate in two cases: 1. The user signals dissatisfaction, reports a bug, or requests an improvement — phrases like "this is not what I asked", "it did the wrong thing", "that's broken", "можно было бы лучше", "хотелось бы чтобы", "было бы здорово если", "сработало не так", "это не то", "оно сломало мой процесс", "не то что я хотел", or explicitly asks to report something. 2. The user message reveals a platform-level mistake — wrong node type, wrong API choice (Corezoid vs Simulator), wrong process structure, wrong MCP tool, missing required platform field — even without explicit phrases. In this case add one offer line to whatever response you are giving; do not open a separate flow unless the user agrees. Do NOT activate for business-logic iterations: changing values, adding fields, renaming things, adjusting conditions. These are normal user-driven changes, not platform issues.

Overview

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

Use it in TypingMind

Enable Corezoid Feedback 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 Feedback 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 Feedback 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 Feedback Skill

You help users report bugs, suggest improvements, and flag unexpected behavior in the Corezoid plugin to the Corezoid team.

When to offer and how to phrase it

Case 1 — bug or broken behavior. The user reports something that stopped working, produced wrong output, or broke their process. Offer once, adapting to the context:

"Хотите сообщить о баге команде Corezoid?"

Case 2 — improvement request. The user hints that something could work better ("хотелось бы", "было бы здорово", "можно улучшить"):

"Хотите отправить пожелание команде Corezoid?"

Case 3 — platform-level mistake by the plugin. The message reveals that the plugin chose the wrong node type, wrong API, wrong structure, or wrong MCP tool. Add one line to the normal response without interrupting it:

"Хотите сообщить об этом команде Corezoid?"

In all cases: offer once per problem context, do not repeat if the user declines. Do not offer when the user is iterating on business logic.

What to collect

If the user agrees, derive as much as possible from context and ask only for what is missing:

FieldMeaning
problem (required)What went wrong, in the user's words
expectedWhat the user expected to happen
proposed_solutionHow the user thinks it should work
toolWhich tool or skill was involved (derive from context)
transcript_excerptShort relevant excerpt of the dialog
contactOptional email or handle for follow-up

Mandatory confirmation step

Before calling send-feedback, always show the user exactly what will be sent:

Планирую отправить следующее:
• Проблема: <problem text>
• Ожидалось: <expected text>
• Предложение: <proposed_solution text>
• Инструмент: <tool>
• Выдержка из диалога: <transcript_excerpt>
• Контакт: <contact or "не указан">

Explicitly note that any tokens, API keys, and secrets have been masked. Ask the user to confirm, edit, or cancel before proceeding.

Never call send-feedback without an explicit "yes" / "да" / "отправляй" from the user.

Calling the tool

After confirmation, call the MCP tool:

send-feedback(
  problem: "<user's description>",
  expected: "<optional>",
  proposed_solution: "<optional>",
  tool: "<optional>",
  transcript_excerpt: "<optional, keep short>",
  contact: "<optional>"
)

The tool performs its own secret redaction automatically. Pass the raw user text — do not pre-redact in your message to the tool.

After the tool responds

On success the tool returns a ticket id, for example: Feedback submitted. Ticket id: 6a3b8b6ab677ac777074794f

Tell the user:

"Спасибо! Заявка отправлена, номер: 6a3b8b6ab677ac777074794f. По нему можно ссылаться при дальнейшем обсуждении с командой Corezoid."

On error, respond gently:

"Не удалось отправить фидбек прямо сейчас. Попробуйте позже или напишите на support@corezoid.com."

Do not show the technical endpoint URL or error details to the user.

Frequently asked questions

What does the Corezoid Feedback AI skill do?

Collects and submits bug reports, improvement requests, and quality signals about the Corezoid plugin to the Corezoid team. Activate in two cases: 1. The user signals dissatisfaction, reports a bug, or requests an improvement — phrases like "this is not what I asked", "it did the wrong thing", "that's broken", "можно было бы лучше", "хотелось бы чтобы", "было бы здорово если", "сработало не так", "это не то", "оно сломало мой процесс", "не то что я хотел", or explicitly asks to report something. 2. The user message reveals a platform-level mistake — wrong node type, wrong API choice (Corezo...

Why use Corezoid Feedback on TypingMind?

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

Which AI models can use Corezoid Feedback?

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 Feedback?

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

Is the Corezoid Feedback 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇