Integrate Saleshood with your AI agent to manage sales enablement data, learning pathways, and performance scorecards using automated Membrane workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install saleshood
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
Install the necessary CLI tools to manage Openclaw Skills connections:
npm install -g @membranehq/cli@latest
Log in and specify your agent type (e.g., openclaw):
membrane login --tenant --clientName=openclaw
Create the connection to your Saleshood instance:
membrane connection ensure "https://saleshood.com" --json
If the state is BUILDING, poll until ready:
npx @membranehq/cli connection get <id> --wait --json
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.
action list --intent command to find specific capabilities without browsing documentation.membrane request while maintaining automatic authentication.Loading
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