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Activepieces

Organization
TerminalSkills
activepieces

Build workflow automations with Activepieces. Use when a user asks to self-host a Zapier alternative, automate workflows with a visual builder, create no-code integrations, or set up open-source business automation.

Overview

PublisherTerminalSkills
Repositoryskills
Skill nameactivepieces
Stars
155
Forks
21
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TerminalSkills on GitHub. Read the source before you install it.

Installation

Install the Activepieces 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/TerminalSkills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/activepieces .claude/skills/activepieces
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Activepieces 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 Activepieces 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 Activepieces 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.

Activepieces

Overview

Activepieces is an open-source workflow automation platform — the newest Zapier/n8n alternative. Visual builder, 200+ integrations, code steps, branching, loops, and webhooks. Self-hosted for free with unlimited flows.

Instructions

Step 1: Self-Host

yaml
# docker-compose.yml — Activepieces with PostgreSQL and Redis
services:
  activepieces:
    image: activepieces/activepieces:latest
    ports: ["8080:80"]
    environment:
      AP_ENGINE_EXECUTABLE_PATH: dist/packages/engine/main.js
      AP_POSTGRES_DATABASE: activepieces
      AP_POSTGRES_HOST: postgres
      AP_POSTGRES_PORT: "5432"
      AP_POSTGRES_USERNAME: activepieces
      AP_POSTGRES_PASSWORD: activepieces
      AP_REDIS_HOST: redis
      AP_ENCRYPTION_KEY: your-32-char-encryption-key-here
      AP_JWT_SECRET: your-jwt-secret-here
      AP_FRONTEND_URL: https://auto.example.com

  postgres:
    image: postgres:16
    environment:
      POSTGRES_DB: activepieces
      POSTGRES_USER: activepieces
      POSTGRES_PASSWORD: activepieces
    volumes: [pgdata:/var/lib/postgresql/data]

  redis:
    image: redis:7-alpine

volumes:
  pgdata:

Step 2: Code Step

typescript
// Inside Activepieces Code step
export const code = async (inputs) => {
  const { data } = inputs
  return {
    processed: data.items.map(item => ({
      name: item.name.toUpperCase(),
      total: item.price * item.quantity,
    })),
    grandTotal: data.items.reduce((sum, i) => sum + i.price * i.quantity, 0),
  }
}

Step 3: Custom Piece (Integration)

typescript
// pieces/my-app/src/index.ts — Build custom integration
import { createPiece } from '@activepieces/pieces-framework'
import { newOrderTrigger } from './triggers/new-order'
import { createInvoiceAction } from './actions/create-invoice'

export const myApp = createPiece({
  displayName: 'My App',
  auth: PieceAuth.SecretText({ displayName: 'API Key' }),
  triggers: [newOrderTrigger],
  actions: [createInvoiceAction],
})

Guidelines

  • Self-hosted: completely free, unlimited flows and executions.
  • Cloud: free tier with 1,000 tasks/month.
  • Newer than n8n — cleaner UI, growing fast, but fewer integrations.
  • TypeScript-first code steps and custom pieces.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Activepieces AI skill do?

Build workflow automations with Activepieces. Use when a user asks to self-host a Zapier alternative, automate workflows with a visual builder, create no-code integrations, or set up open-source business automation.

Why use Activepieces on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TerminalSkills/skills/tree/main/skills/activepieces. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Activepieces?

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 Activepieces?

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

Is the Activepieces AI skill free?

Yes. It is published on GitHub by TerminalSkills 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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