agent-onboarding

Standardize provisioning and verification of AI agents across OpenClaw and Hermes runtimes.

1|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/Mattyreed1/fractal-agent-skills --skill agent-onboarding-mattyreed1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-onboarding
Source: https://github.com/Mattyreed1/fractal-agent-skills/tree/main/agent-onboarding
Command: npx skills add https://github.com/Mattyreed1/fractal-agent-skills --skill agent-onboarding-mattyreed1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the "reply once" failure mode where agents are deployed but lack the necessary integrations, permissions, or self-verification to perform their actual roles. It ensures agents are genuinely operational, secure, and fully integrated into their target harness.

Core Features & Use Cases

  • Multi-Harness Support: Provides standardized onboarding runbooks for both OpenClaw (multi-agent gateway) and Hermes (single-agent) architectures.
  • Verification-First Workflow: Implements a mandatory completion contract where the agent must verify its own runtime, tools, and channel connectivity before being marked operational.
  • Use Case: When deploying a new customer-facing agent, use this skill to systematically configure its identity, wire its Slack/Discord channels, and run a final-acceptance sweep to ensure it can handle real-world tasks without human intervention.

Quick Start

Run the agent-onboarding skill to initialize the identity interview and generate the capability manifest for your new agent.

Frequently Asked Questions about agent-onboarding

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

FAQPage Schema
How do I verify AI agent deployments are fully operational before going live?

You can verify AI agent deployments by running a mandatory self-verification checklist that provisions identity, configures communication channels, and executes live smoke tests for core capabilities and external integrations.

What is a verification-first workflow for autonomous AI agent onboarding?

A verification-first workflow for autonomous AI agent onboarding requires the agent to verify its own runtime, tools, and channel connectivity through live smoke tests before being marked as operational and fully integrated into the target harness.

Can I use a standardized onboarding runbook for both OpenClaw and Hermes agent architectures?

Yes, you can use a standardized onboarding runbook that supports both OpenClaw multi-agent gateway architectures and Hermes single-agent runtimes to systematically configure agent identity and external integrations.

How do I configure Slack and Discord channels for a newly deployed AI agent?

To configure Slack and Discord channels for a newly deployed AI agent, you run an onboarding skill that wires the communication channels and executes a final-acceptance sweep to ensure real-world task readiness without human intervention.

Why do my deployed AI agents fail to perform their actual roles after going live?

Deployed AI agents fail to perform their actual roles due to a "reply once" failure mode where they lack the necessary integrations, permissions, or self-verification to operate securely within their target harness.

Do I need to run live smoke tests for every integration lane during agent onboarding?

Yes, you need to run live smoke tests for every core capability and integration lane during agent onboarding to ensure operational readiness and confirm the agent can handle real-world tasks autonomously.