A command-line interface and AI agent skill to query credit card recommendations, wallet cards, and rewards offers directly from CardPointers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cardpointers
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 cardpointers 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 CardPointers CLI?
CardPointers CLI is a high-performance tool designed to bring the intelligence of the CardPointers+ platform to your terminal and AI workflows. It enables users to programmatically determine the best credit card for any purchase, track expiring offers, and manage multiple credit card profiles. By integrating this into your collection of Openclaw Skills, you can automate financial research and ensure you never miss a reward or redemption opportunity.
The skill provides deep access to your digital wallet, allowing for complex filtering by bank, category, or merchant. Whether you are a developer looking to build custom financial dashboards or a power user managing a complex portfolio of cards, this skill bridges the gap between manual browsing and automated reward optimization.
CardPointers CLI Use Cases
- Find the best credit card to use at specific merchants like Costco or Whole Foods.
- Identify high-value rewards for categories such as groceries, dining, or gas stations.
- Monitor and list credit card offers expiring within a specific timeframe to avoid missing out.
- Search and filter active offers across multiple banks including Amex, Chase, and Citi.
- Compare card benefits and recommendations across multiple linked family or business profiles.
How CardPointers CLI Works
- The skill utilizes the CardPointers CLI binary to communicate with the CardPointers API.
- Users authenticate via a secure login process that generates a local JWT token for session management.
- Commands like recommend or offers are executed with specific flags to query the CardPointers database.
- The tool processes the request based on the user's specific wallet configuration and active promotions.
- Data is returned in a clean, readable format or as raw JSON for integration with other Openclaw Skills.
CardPointers CLI Setup
To utilize this skill within the Openclaw Skills ecosystem, ensure you have a CardPointers+ subscription and follow these installation steps:
- Install the CLI and the jq dependency via Homebrew:
brew tap cardpointers/tap
brew install cardpointers jq
- Authenticate your account:
cardpointers login
- Test the connection to ensure the environment is ready:
cardpointers status
CardPointers CLI Data Schema & Taxonomy
The CardPointers CLI organizes data into structured entities that can be output as JSON for developer use cases.
| Entity | Attributes | Description |
|---|---|---|
| Cards | bank, status, name, approval_date | Represents physical or virtual cards in the user's wallet. |
| Offers | category, value, type, expiration | Targeted merchant or category promotions. |
| Profiles | name, id | Separate accounts managed under a single login. |
| Recommendations | merchant, category, best_card | Logic-based output indicating the highest-earning card for a scenario. |
CardPointers CLI Advanced Features
- Multi-profile support: Use the --profile all flag to query rewards across every linked user account simultaneously.
- Programmatic JSON output: Native --json support makes it easy to pipe data into other Openclaw Skills or custom automation scripts.
- Merchant-level granularity: Specific merchant lookups (-m) provide more accurate rewards than broad category matching.
- Flexible filtering: Combine bank, status, and limit flags to create highly specific financial reports.
- Environment variable overrides: Customize API endpoints and enable verbose debugging for complex troubleshooting.
SKILL.md
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