Saleshood for Openclaw

Integrate Saleshood with your AI agent to manage sales enablement data, learning pathways, and performance scorecards using automated Membrane workflows.

membranedev
v1.0.2
Apr 30, 2026
0
437
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install saleshood

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 saleshood 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 Saleshood?

The Saleshood skill for Openclaw Skills empowers developers and sales leaders to programmatically interact with the Saleshood sales enablement platform. By leveraging the Membrane framework, this skill eliminates the complexity of manual authentication and credential management, allowing AI agents to seamlessly access content, coaching resources, and sales performance data.

Whether you are looking to automate the onboarding of new hires or synchronize call insights with other tools, this integration provides a robust interface. It bridges the gap between raw Saleshood data and actionable AI workflows, ensuring that sales teams stay reinforced with the right training and playbooks at the right time.

Saleshood Use Cases

  • Automating the distribution of sales playbooks and learning activities to new team members.
  • Synchronizing Saleshood scorecard data and deal performance with external reporting dashboards.
  • Fetching call insights and coaching feedback to generate AI-driven summaries for sales leaders.
  • Searching for specific sales resources and content pathways via natural language queries.
  • Managing user notifications and sales training reinforcements programmatically.

How Saleshood Works

  1. The Openclaw Skills agent initializes the Membrane CLI to establish a secure bridge to the Saleshood environment.
  2. Authentication is handled via a tenant-specific login flow where Membrane manages OAuth tokens and transparent credential refreshes.
  3. A connection is established to the Saleshood domain, which Membrane validates and moves to a READY state.
  4. The agent uses natural language intent mapping to discover specific Saleshood actions like fetching content or updating deals.
  5. Commands are executed through the Membrane proxy, which automatically injects required headers and handles API pagination.

Saleshood Setup

1. Install Membrane CLI

Install the necessary CLI tools to manage Openclaw Skills connections:

npm install -g @membranehq/cli@latest

2. Authentication

Log in and specify your agent type (e.g., openclaw):

membrane login --tenant --clientName=openclaw

3. Connect to Saleshood

Create the connection to your Saleshood instance:

membrane connection ensure "https://saleshood.com" --json

4. Verify Connection

If the state is BUILDING, poll until ready:

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

Saleshood Data Schema & Taxonomy

The Saleshood skill organizes data around the following primary entities and metadata taxonomy:

Entity Description
Content Includes Pathways, Learning Activities, Playbooks, and Resources.
Performance Comprises Scorecards and Call Insights.
Sales Data Tracks Deals and User-specific performance metrics.
Metadata Versioning, author (membrane), and MIT license information.

All action outputs can be retrieved in machine-readable JSON format using the --json flag for easy parsing by AI agents.

Saleshood Advanced Features

  • Natural Language Intent Discovery: Use the action list --intent command to find specific capabilities without browsing documentation.
  • Automated Credential Lifecycle: Zero-touch token refresh and secure server-side secret management.
  • API Proxy Fallback: Send direct requests to any Saleshood endpoint using membrane request while maintaining automatic authentication.
  • Multi-Agent Optimization: Adjusts tooling output based on the specific agent type (e.g., Claude, Codex, or Openclaw Skills).
  • Long-polling Wait Mechanisms: Built-in support for asynchronous connection states and client-action triggers.

SKILL.md


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