Automate neuroscience-based talent assessments and candidate data management using Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pymetrics
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 pymetrics 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 Pymetrics?
Pymetrics is a specialized talent assessment platform that utilizes neuroscience-based games to evaluate candidates. This Pymetrics integration for Openclaw Skills provides a robust framework for AI agents to manage candidate records, job details, and game data. By utilizing Openclaw Skills, technical teams can bridge the gap between assessment data and hiring decisions, enabling a more data-driven and efficient recruitment lifecycle. The skill leverages the Membrane ecosystem to handle complex authentication and connection management, allowing developers to focus on building intelligent hiring workflows without the burden of manual token handling.
Pymetrics Use Cases
- Automating the sync of Pymetrics candidate results to external Applicant Tracking Systems.
- Retrieving detailed cognitive and personality trait reports for high-volume hiring pipelines.
- Monitoring job-specific assessment progress for real-time candidate status updates.
- Developing custom HR analytics dashboards using raw neuroscience game data for predictive hiring.
How Pymetrics Works
- Install the Membrane CLI and authenticate using your specific agent type to begin using Openclaw Skills.
- Create a secure connection to the Pymetrics domain to handle OAuth and credential management automatically.
- Poll the connection status to ensure the environment is fully authenticated and ready for data interaction.
- Use natural language intent search to discover available actions for managing candidates, jobs, or games.
- Execute specific actions or send proxy requests to the Pymetrics API to perform tasks like fetching assessment scores or updating records.
Pymetrics Setup
Install the CLI globally to access the necessary tools for Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate your agent to initialize the integration environment:
membrane login --tenant --clientName=openclaw
Establish the connection to Pymetrics to start managing talent data:
membrane connection ensure "https://www.pymetrics.ai/" --json
Pymetrics Data Schema & Taxonomy
The skill organizes Pymetrics information into several key data entities to simplify the developer experience with Openclaw Skills:
| Entity | Description |
|---|---|
| Candidate | Profiles containing individual neuroscience assessment results and trait data. |
| Game | The specific neuroscience-based evaluation modules used in the assessment. |
| Job | Open roles and their associated benchmark requirements for candidates. |
| Account | Organizational settings, permissions, and account-level metadata. |
All data is returned in standardized, machine-readable JSON format for easy parsing and integration into existing business logic.
Pymetrics Advanced Features
- Automatic credential and token refresh ensuring zero-downtime for Openclaw Skills automations and long-running workflows.
- Intelligent intent-based action discovery using natural language to reduce token consumption during development cycles.
- Full API proxy support for accessing advanced Pymetrics endpoints with automatic authentication header injection.
- Headless environment support enabling seamless integration with server-side execution and CI/CD pipelines.
SKILL.md
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