Makini for Openclaw

A powerful integration for managing performance data, tracking business analytics, and automating patient or user records through AI agents.

gora050
v1.0.2
May 1, 2026
0
437
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install makini

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 makini 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 Makini?

Makini is a sophisticated SaaS platform dedicated to providing robust data and analytics solutions. By leveraging this skill within Openclaw Skills, developers can empower AI agents to track and interpret key performance indicators (KPIs) with precision. It bridges the gap between raw data and actionable business insights by offering structured access to user and patient records.

The integration utilizes the Membrane infrastructure to handle the complexities of authentication and credential refreshing. This allows the AI to focus on logical integration tasks rather than security plumbing, making it an essential component for any data-driven Openclaw Skills deployment. Whether you are managing healthcare data or enterprise analytics, this skill provides the necessary tooling for secure and efficient automation.

Makini Use Cases

  • Automating the tracking and reporting of business key performance indicators (KPIs).
  • Managing patient notes and records within a healthcare analytics context.
  • Streamlining user data retrieval and updates via AI-driven conversational interfaces.
  • Synchronizing analytics data across multiple platforms using Openclaw Skills.
  • Triggering automated workflows based on specific data trends or metrics identified by the agent.

How Makini Works

  1. The AI agent initializes the Membrane CLI and authenticates the user environment using specialized login protocols designed for agent types.
  2. A connection is established to the Makini domain, ensuring a secure and verified communication channel for data transfer.
  3. The agent searches for specific actions based on natural language intent to interact with patient or user data dynamically.
  4. Parameters are passed via JSON input to execute predefined actions or retrieve specific analytics records according to the schema.
  5. For edge cases not covered by standard actions, the agent utilizes a transparent proxy to send direct API requests with managed authentication headers.

Makini Setup

First, install the necessary CLI tool for managing Openclaw Skills integrations:

npm install -g @membranehq/cli@latest

Authenticate your agent session specifically for your environment:

membrane login --tenant --clientName=openclaw

Establish a secure connection to the Makini platform to begin data operations:

membrane connection ensure "https://www.makini.io/" --json

Follow the provided UI URL for interactive auth, or use the login complete command if you are working in a headless server environment.

Makini Data Schema & Taxonomy

The Makini skill organizes data into several primary entities, accessible through structured JSON schemas. When building with Openclaw Skills, you can interact with the following metadata taxonomy:

Entity Components Description
Patient Note Clinical or administrative notes associated with a record.
User Profile, Metrics Individual account data and associated performance tracking.
Action inputSchema, outputSchema Technical definitions for parameters and return values for each tool.
Connection ID, State, clientAction Lifecycle metadata for the active session and required auth steps.

Makini Advanced Features

  • Dynamic Action Discovery: Use natural language intent to find the most relevant API operations on the fly within the Openclaw Skills ecosystem.
  • Automated Credential Lifecycle: Server-side management of OAuth tokens and API keys ensures zero-leak security for your analytics data.
  • Direct API Proxying: Full access to the Makini REST API with automatic header injection and path normalization for custom workflows.
  • Headless Environment Support: Specialized login flows for CLI-based and remote server deployments.
  • Intelligent Polling: Built-in waiting mechanisms with long-polling support to ensure connections are READY before execution.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*