nex

Query organizational context graphs for live insights via REST-like API wrappers.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/nex-crm/nex-as-a-skill --skill nex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nex
Source: https://github.com/nex-crm/nex-as-a-skill/tree/main
Command: npx skills add https://github.com/nex-crm/nex-as-a-skill --skill nex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, curl, jq, and includes scripts (resource) components.

What problem does it solve?

Nex provides AI agents with real-time access to an organizational context graph, enabling seamless querying of contacts, companies, relationships, tasks, notes, and insights during conversations.

Core Features & Use Cases

  • Real-time context access: query the context graph and receive live insights while interacting with users.
  • Comprehensive data operations: manage objects, records, relationships, lists, tasks, and notes via OpenClaw with safe API wrappers.
  • Bootstrap-ready workflow: auto-register and configure API keys using the included registration scripts for quick startup.

Quick Start

Copy SKILL.md to your OpenClaw skills directory and run the bootstrap to register or configure your Nex API key.

Frequently Asked Questions about nex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I give my AI agent real-time access to organizational context records?

To provide real-time access to organizational context records, you can use a context-graph query API that enables AI agents to retrieve live contacts, companies, and tasks during conversations. This Skill wraps REST-like API calls to fetch live insights safely.

What is a context graph and how does it work for live AI insights?

A context graph maps organizational relationships between objects like contacts, companies, tasks, and notes. Querying it during an AI conversation returns live insights and deterministic data records instead of relying on static training data.

How do I bootstrap an API key for querying organizational context schemas?

You bootstrap an API key by copying the Skill file to your OpenClaw skills directory and running the included registration script. This configures your environment and registers the API key required for secure Nex API wrapper calls.

Do I need bash and curl to manage organizational records through an AI agent?

Yes, bash, curl, and jq are required dependencies. They enable the bootstrap script and API wrappers to execute deterministic REST-like calls, parse JSON responses, and perform safe error handling with proper environment isolation.

Can I manage tasks, notes, and relationships directly through an AI conversation?

Yes, comprehensive data operations allow you to manage objects, records, relationships, lists, tasks, and notes via OpenClaw. The API wrappers handle these end-to-end workflows safely while interacting with users in real-time.

What are the limitations of using REST-like API wrappers for real-time context queries?

The API wrappers require a valid API key and proper environment isolation to function correctly. Deterministic calls depend on the OpenClaw bootstrap process, meaning queries will fail if the registration script is not executed or the environment is misconfigured.