Digio for Openclaw

A specialized integration for automating document signing and verification workflows within AI-powered environments.

gora050
v1.0.2
May 1, 2026
0
463
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install digio

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 digio 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 Digio?

The Digio skill is a robust integration designed for developers to manage document-centric automation. By using Openclaw Skills, users can easily streamline the signing and verification of contracts, agreements, and onboarding documents. It bridges the gap between AI agents and the Digio platform, providing a secure method for handling sensitive document workflows without manual intervention.

This skill leverages the Membrane ecosystem to handle the complexities of authentication and API communication. It allows Openclaw Skills to interact with files, folders, and shared links, ensuring that business processes requiring signatures are handled efficiently and securely within a developer-friendly framework.

Digio Use Cases

  • Automating the distribution and signing of legal contracts and business agreements.
  • Streamlining identity verification processes during user onboarding.
  • Organizing and managing secure document storage within a cloud-based folder structure.
  • Creating and managing secure shared links for external stakeholders to access documents.
  • Integrating document signing triggers into larger automated business workflows using Openclaw Skills.

How Digio Works

  1. The user installs the Membrane CLI to provide the necessary environment for Openclaw Skills to communicate with Digio.
  2. Authentication is established through a secure login process that manages credentials and token refreshes automatically.
  3. A connection to the Digio domain is ensured, triggering a setup process that transitions from a building state to a ready state.
  4. The agent searches for specific actions—such as signing or fetching documents—using natural language intent discovery.
  5. Actions are executed with JSON parameters, or custom API requests are proxied through the authenticated connection to perform advanced document operations.

Digio Setup

To begin using this skill with Openclaw Skills, first install the Membrane CLI:

npm install -g @membranehq/cli@latest

Next, authenticate your environment:

membrane login --tenant --clientName=openclaw

Establish the connection to Digio:

membrane connection ensure "https://www.digio.in/" --json

If the connection state is BUILDING, poll for readiness:

membrane connection get <id> --wait --json

Digio Data Schema & Taxonomy

The Digio skill structures data around document management and workflow automation. The following table outlines the primary data entities available to Openclaw Skills:

Entity Description
Files Individual document records including content and metadata.
Folders Logical groupings for organizing documents and verification records.
Shared Links Generated URLs for secure document access and external signing.
Actions Metadata-driven operations that define inputs and outputs for Digio tasks.

Digio Advanced Features

  • Intelligent action discovery using natural language intent mapping to reduce manual configuration.
  • Transparent credential management that handles OAuth flows and token refreshes server-side.
  • Full API proxy capabilities allowing Openclaw Skills to execute any Digio endpoint using standard HTTP methods.
  • Machine-readable JSON output for all commands to facilitate seamless agentic integration.
  • Support for headless environments with manual authorization code completion.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*