Hep Connect logo

Hep Connect

OrganizationPopular
agentlas-ai
hep-connect

Connect Agentlas agents or teams to Telegram.

Overview

Publisheragentlas-ai
RepositoryAgentlas-OS
Skill namehep-connect
Stars
1.6K
Forks
111
Bundled files
Instructions only
LicenseApache-2.0
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 agentlas-ai on GitHub. Read the source before you install it.

Installation

Install the Hep Connect 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/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect
  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/agentlas-ai/Agentlas-OS.git /tmp/Agentlas-OS
mkdir -p .claude/skills
cp -r /tmp/Agentlas-OS/kimi/skills/hep-connect .claude/skills/hep-connect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hep Connect 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 Hep Connect 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 Hep Connect 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 fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

Hephaestus Connect

Raw arguments: $ARGUMENTS

Use this prompt when the operator wants Telegram to talk to one Agentlas target: a single agent, a saved group, a local team, or a .agentlas org chart.

Current product contract:

  1. Start with Telegram only.
  2. Do not ask for a BotFather token in chat. Save it only through a runtime-owned secret store.
  3. Prefer the Agentlas Desktop Connect surface at /connect; it lists saved groups, .agentlas org charts, local teams, team agents, and single agents.
  4. Explain the setup in simple words:
    • choose who should answer;
    • make a Telegram bot in BotFather;
    • save the token in the local secret store;
    • pair one Telegram chat;
    • send one test message;
    • keep adding more chats as needed.
  5. Session state belongs to the Telegram chat binding. Team, org, and saved group bindings use one session per chat. Single-agent direct chats can keep one session per user.

If running inside Agentlas Desktop development, report that the Desktop route is /connect and use the real local Connect UI as the source of truth. Do not pretend that Telegram delivery is live until token validation, chat pairing, and a test message pass.

Report progress as one ladder and never skip a rung: Draft -> Token checked -> Chat paired -> Test passed -> Running.

Frequently asked questions

What does the Hep Connect AI skill do?

Connect Agentlas agents or teams to Telegram.

Why use Hep Connect on TypingMind?

Because you install it once and use it with any model. Hep Connect 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 Hep Connect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hep Connect?

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 Hep Connect?

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

Is the Hep Connect AI skill free?

Yes. It is published on GitHub by agentlas-ai under the Apache-2.0 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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