Reson8 Connection logo

Reson8 Connection

Organization
rejot-dev
reson8-connection

Configure and use the Backoffice Reson8 speech-to-text capability. Use when setting up Reson8, transcribing audio files, or debugging Reson8 runtime availability.

Overview

Publisherrejot-dev
Repositoryfragno
Skill namereson8-connection
Stars
62
Forks
6
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 rejot-dev on GitHub. Read the source before you install it.

Installation

Install the Reson8 Connection 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.
  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/rejot-dev/fragno.git /tmp/fragno
mkdir -p .claude/skills
cp -r /tmp/fragno/apps/backoffice/content/static/skills/reson8-connection .claude/skills/reson8-connection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reson8 Connection 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 Reson8 Connection 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 Reson8 Connection 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.

Reson8 Connection

Use this skill for Reson8 speech-to-text setup and prerecorded audio transcription from Backoffice automation runtimes.

Reson8 configuration

Configuration fields:

  • apiKey: Reson8 API key. Secret; required on first setup.

Reson8 events

Cataloged automation events:

  • source: reson8, eventType: capability.configured — fires after Reson8 is configured for an organization for the first time.

Treat Reson8 as a tool-backed capability: automations call Reson8 when they need speech-to-text output.

Reson8 tools

Reson8 tools can transcribe prerecorded audio files.

Supported transcription options include audio encoding, sample rate, channel count, custom model id, timestamps, word-level details, and confidence values.

Use codemode first. The reson8 provider transcribes prerecorded audio when the runtime is available.

Frequently asked questions

What does the Reson8 Connection AI skill do?

Configure and use the Backoffice Reson8 speech-to-text capability. Use when setting up Reson8, transcribing audio files, or debugging Reson8 runtime availability.

Why use Reson8 Connection on TypingMind?

Because you install it once and use it with any model. Reson8 Connection 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 Reson8 Connection in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rejot-dev/fragno/tree/main/apps/backoffice/content/static/skills/reson8-connection. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reson8 Connection?

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 Reson8 Connection?

As many as you like. As long as a model supports skills, you can use Reson8 Connection with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reson8 Connection AI skill free?

Yes. It is published on GitHub by rejot-dev 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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