Chattermill for Openclaw

A powerful integration for AI agents to analyze customer sentiment, themes, and feedback data through the Chattermill platform.

membranedev
v1.0.4
Apr 30, 2026
0
427
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install chattermill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install chattermill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Chattermill?

Chattermill is an industry-leading customer feedback platform that leverages artificial intelligence to help businesses decode customer experiences. By synthesizing data from surveys, reviews, and diverse support channels, it identifies critical themes and sentiment patterns. This skill enables AI agents to interact directly with Chattermill data, providing product managers and CX teams with automated, data-driven decision-making capabilities.

Built on the Membrane framework, this integration ensures that Openclaw Skills can securely access feedback loops without manual credential management. It bridges the gap between raw customer voices and actionable business intelligence through a streamlined CLI-driven workflow.

Chattermill Use Cases

  • Automating the retrieval of customer sentiment scores for weekly performance reports.
  • Identifying recurring themes in recent product reviews to prioritize engineering backlogs.
  • Syncing filtered customer feedback data into external dashboards or team communication tools.
  • Running bulk sentiment analysis on new batches of survey responses using AI agent workflows.

How Chattermill Works

  1. Authentication: The agent initiates a secure session using the Membrane CLI, handling OAuth or API keys server-side.
  2. Connection Management: A dedicated connection is established to the Chattermill domain, ensuring a persistent link for data exchange.
  3. Action Discovery: The agent searches for specific pre-built actions (like fetching feedback or themes) based on natural language intent.
  4. Execution: The skill executes the chosen action or performs a direct proxy request to the Chattermill API with automatic header injection.
  5. Data Processing: Results are returned in a structured JSON format, allowing the AI agent to parse and utilize the feedback insights immediately.

Chattermill Setup

First, install the Membrane CLI to enable Openclaw Skills to communicate with the platform:

npm install -g @membranehq/cli@latest

Authenticate your agent environment:

membrane login --tenant --clientName=openclaw

Establish the connection to Chattermill:

membrane connection ensure "https://chattermill.io" --json

Chattermill Data Schema & Taxonomy

The skill organizes interaction through structured actions and proxy requests. Key data entities include:

Entity Description
Feedback Raw customer responses and survey entries.
Sentiment AI-calculated scores (Positive, Neutral, Negative) for each record.
Themes Categorized topics identified within the feedback text.
Filters Metadata parameters used to segment feedback by date, source, or user segment.

All responses use a standard JSON schema containing an output field for easy parsing by AI models.

Chattermill Advanced Features

  • Intent-Based Discovery: Find the right API tools by simply describing your goal in natural language.
  • Automatic Credential Refresh: Never manage expiring tokens; the skill handles re-authentication in the background.
  • Direct API Proxying: Send custom requests to any Chattermill endpoint with automated base URL and header management.
  • Long-Polling Connections: Support for headless environments with automated status polling during initial setup.

SKILL.md


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