openclaw-configuration

Configure OpenClaw CLI model providers, authentication, and default model selection.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Gitnapp/Skills --skill openclaw-configuration-gitnapp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-configuration
Source: https://github.com/Gitnapp/Skills/tree/main/openclaw-configuration
Command: npx skills add https://github.com/Gitnapp/Skills --skill openclaw-configuration-gitnapp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users configure OpenClaw AI agent CLI setups correctly by managing providers, API keys, models, and troubleshooting common configuration issues.

Core Features & Use Cases

  • Provider Configuration: Set up built-in and custom model providers with appropriate authentication and API adapters.
  • Model Management: Configure default models, aliases, provider routing, and verify available model catalogs.
  • Credential Troubleshooting: Diagnose configuration errors involving secrets, schemas, provider overrides, and validation workflows for OpenClaw deployments.

Quick Start

Use the openclaw configuration skill to set up my OpenClaw provider, API key storage, and default model selection.

Frequently Asked Questions about openclaw-configuration

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

FAQPage Schema
How do I configure AI agent CLI settings for custom model providers?

Configuring AI agent CLI settings for custom model providers requires schema validation, secure API key references, and model routing configuration. You can set up custom API gateways alongside built-in providers using command-based verification workflows.

What is the best way to manage API keys for AI agent command line interfaces?

Managing API keys for AI agent command line interfaces involves using secure API key references and secrets management. Provider schema validation ensures credentials are correctly mapped before applying configuration overrides and running verification workflows.

How do I set up default model selection and provider routing for an AI agent CLI?

Setting up default model selection and provider routing involves configuring model aliases and validating available model catalogs. Command-based verification workflows confirm that the routing configuration correctly points to the intended built-in or custom providers.

Why does my AI agent CLI configuration fail provider schema validation?

AI agent CLI configuration fails provider schema validation when custom API gateways or built-in providers have mismatched authentication settings. Credential troubleshooting diagnoses these configuration errors by checking secrets, schemas, and provider overrides.

Can I use built-in model providers alongside custom API gateways in my CLI configuration?

You can use built-in model providers alongside custom API gateways in your CLI configuration. This setup requires provider schema validation, secure API key references for authentication, and model routing configuration to direct traffic appropriately across both provider types.