A specialized skill for managing sales quotes, clients, and pricing versions through the Ratecard SaaS platform via Membrane.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ratecard
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ratecard 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 Ratecard?
Ratecard is a comprehensive SaaS application designed to empower sales teams by streamlining the creation and management of pricing quotes. This skill integrates Ratecard's robust functionality into your AI agent workflow, allowing for professional-grade quote generation, consistent pricing enforcement, and organized client management.
By leveraging the Membrane framework, this Openclaw Skills integration removes the complexity of authentication and token refresh. It provides a secure, programmatic way to interact with Ratecard data, ensuring that sales professionals can focus on closing deals rather than manual data entry or API plumbing.
Ratecard Use Cases
- Automating the generation of consistent sales quotes based on predefined ratecards.
- Managing and updating client records and user permissions within the Ratecard ecosystem.
- Syncing currency and markup types across different pricing versions.
- Importing bulk ratecard data for large-scale sales operations.
- Querying specific ratecard items or sections during live sales negotiations.
How Ratecard Works
- The AI agent initializes the skill by installing the Membrane CLI and logging into a specific tenant.
- A secure connection is established using the Ratecard domain, with Membrane handling the OAuth or API key handshake.
- The agent polls the connection status until it reaches a READY state, prompting the user for action if further input is required.
- Available actions (like creating a quote or listing users) are discovered using natural language intent searches.
- The agent executes specific Ratecard actions or sends proxy requests directly to the Ratecard API with automatic header injection.
Ratecard Setup
First, install the Membrane CLI globally to enable the Openclaw Skills integration:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Ensure a connection to your Ratecard instance:
membrane connection ensure "https://get.ratecard.io/" --json
Ratecard Data Schema & Taxonomy
The skill organizes Ratecard data into a hierarchical taxonomy to ensure structural integrity across sales documents:
| Object | Description |
|---|---|
| Ratecard | The top-level container for pricing structures and versions. |
| Section | Logical groupings within a ratecard (e.g., Services, Products). |
| Item | Specific line items with associated costs and descriptions. |
| Client/User | Entity metadata for tracking who quotes are for and who created them. |
| Markup/Currency | Financial configuration data for international pricing consistency. |
Ratecard Advanced Features
- Natural Language Action Discovery: Find specific functions by describing your intent rather than memorizing API endpoints.
- Transparent Proxying: Send raw HTTP requests to the Ratecard API while Membrane automatically handles credential refreshing.
- Long-polling Connection Management: Built-in wait mechanisms for headless environment setups.
- Machine-Readable JSON Output: All commands support a --json flag for seamless multi-agent piping and automation.
SKILL.md
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