A comprehensive command-line interface for managing AI-driven voice interviews and professional matching networks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nimrobo
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 nimrobo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Nimrobo is a specialized command-line interface designed to bridge the gap between AI voice screening and organizational matching. It provides developers and hiring teams with two distinct platforms: Voice, for conducting automated interviews and diagnostic conversations via shareable links, and Net, a robust matching network for job postings, applications, and organizational management.
By leveraging this Openclaw Skills integration, users can automate the entire recruitment lifecycle from initial screening to final application acceptance. The skill supports sophisticated context management, allowing agents to maintain state across multiple commands without repetitive ID entry, making it a perfect fit for complex human resources and talent acquisition workflows.
To begin using the Nimrobo CLI, follow these steps to initialize your environment:
# Install the Nimrobo CLI and initialize your profile
nimrobo onboard
# Set the context for an organization to start posting jobs
nimrobo net orgs use [org_id]
# Verify your connection and platform status
nimrobo net context show
The skill utilizes a structured approach to data handling, primarily through JSON-based inputs and outputs to ensure compatibility with modern automation tools.
| Data Component | Format | Description |
|---|---|---|
| Context Storage | Internal State | Persists IDs for orgs and posts to enable the use of the 'current' keyword. |
| Input Methods | CLI / JSON / Stdin | Supports various input streams, with JSON files being preferred for complex objects. |
| Machine Output | JSON | Using the --json flag provides structured data for all platform responses. |
| Pagination | Query Params | Uses --limit and --skip to manage large datasets of applicants or listings. |
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