Agent skill · marketing growth · membranedev

chatwoot

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

Why this skill is useful

Adds specific commands and workflows for integrating with Chatwoot 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

Chatwoot Chatwoot is an open-source customer engagement platform. It allows businesses to manage conversations from various channels like email, website live chat, and social media in one place. Support teams and customer service agents use it to communicate with and support their customers. Official docs: https://www.chatwoot.com/docs/home Chatwoot Overview Conversation Message Contact Agent Label Team Inbox Canned Response Report User Working with Chatwoot This skill uses the Membrane CLI to interact with Chatwoot. 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 Chatwoot 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/chatwoot

View the source on GitHub

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