Botanalytics for Openclaw

A comprehensive integration that enables AI agents to monitor and optimize chatbot performance through detailed engagement metrics and automated team management.

membranedev
v1.0.2
Apr 30, 2026
0
446
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install botanalytics

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 botanalytics 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 Botanalytics?

Botanalytics is a specialized platform designed to help developers and product managers understand and improve chatbot performance. By providing deep insights into user interactions, it helps teams optimize bot design and boost user engagement across various platforms. This integration for Openclaw Skills allows your agents to programmatically access these insights without managing complex authentication flows.

By leveraging the Membrane framework, this skill provides a secure bridge to the Botanalytics API. It handles the heavy lifting of credential management and data fetching, allowing your AI agent to focus on analyzing metrics like user retention, message volume, and platform distribution. Whether you are building sophisticated reporting bots or automated optimization workflows, this skill is a vital addition to your Openclaw Skills library.

Botanalytics Use Cases

  • Retrieving performance reports for specific metrics such as total messages, incoming vs. outgoing traffic, and active users.
  • Monitoring user and bot retention rates to identify friction points in conversational flows.
  • Automating team management by inviting new members to the Botanalytics dashboard via agent commands.
  • Analyzing platform distribution to understand where chatbot users are most active.
  • Fetching custom metrics to support specialized business intelligence requirements.

How Botanalytics Works

  1. The AI agent initializes the environment by installing and logging into the Membrane CLI, which serves as the foundation for Openclaw Skills.
  2. A connection to the Botanalytics service is established and verified, ensuring the agent has the necessary permissions to access data.
  3. The agent utilizes natural language intent to search for available actions, such as Get Metric Report or Invite Team Member.
  4. Execution commands are sent through the Membrane interface, which automatically handles authentication headers and credential refreshes.
  5. For specialized needs, the agent can use a proxy request to interact directly with the Botanalytics API, maintaining the same secure authentication context.

Botanalytics Setup

To get started with this skill, install the Membrane CLI:

npm install -g @membranehq/cli@latest

Authenticate your agent environment:

membrane login --tenant --clientName=openclaw

Create a secure connection to the Botanalytics platform:

membrane connection ensure "https://botanalytics.co" --json

Verify the connection is ready for use:

npx @membranehq/cli connection get <id> --wait --json

Botanalytics Data Schema & Taxonomy

The skill organizes data around the following primary entities:

Entity Details
Metric Reports Contains data points for messages, active users, and retention statistics.
Filters Parameters used to scope reports by date, bot ID, or platform.
Team Members Records containing email and access levels for dashboard collaborators.
Action Schema Metadata defining the input parameters and output structures for each available function.

Botanalytics Advanced Features

  • Natural language action discovery to find the right tool for specific analytical intents.
  • Transparent credential management that eliminates the need to handle API keys within Openclaw Skills.
  • Automated long-polling for connection readiness in headless or automated server environments.
  • High-performance API proxying with automatic base URL injection and header management.
  • Built-in support for machine-readable JSON output for all CLI operations.

SKILL.md


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