Agent skill · marketing growth · membranedev

smooch

Smooch integration. Manage data, records, and automate workflows. Use when the user wants to interact with Smooch data.

Why this skill is useful

Adds specific commands and workflows for integrating with Smooch that the AI wouldn't reliably generate on its own.

What it needs

Requires @membranehq/cli installed locally. Requires membrane account access. About 4k tokens when loaded. Last updated 2026-04-28. 253 stars on the source repository.

What this skill does

Smooch Smooch, now known as Sunshine Conversations, is a platform that allows businesses to have conversations with their customers across various messaging channels. Developers use it to integrate messaging functionality into their apps and websites. It's used by businesses of all sizes looking to improve customer engagement. Official docs: https://docs.smooch.io/ Smooch Overview Conversation Message User Use action names and parameters as needed. Working with Smooch This skill uses the Membrane CLI to interact with Smooch. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. Install the CLI Install the Membrane CLI so you can run membrane from the terminal: Authentication This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available. Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with: Add --json to any command for machine-readable JSON output. Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness Connecting to Smooch Use membrane connection ensure to find or create a connection by app URL or domain: The user completes authentication in the browser. The output contains the new connection id. This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically. If the returned connection has state: "READY", skip to Step 2. 1b. Wait for the connection to be ready If the connection is in BUILDING state, poll until it's ready: The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills membranedev/smooch

View the source on GitHub

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