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Documentation Index

Fetch the complete documentation index at: https://lindo.ai/docs/llms.txt

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Connect Lindo to autonomous AI agents. Install the CLI, login, and let the agent manage your workspace through conversation.

OpenClaw

OpenClaw is an open-source AI agent that can negotiate, manage tasks, and interact with tools through messaging apps like Telegram.

Setup

  1. Install OpenClaw following the official guide
  2. Ask your agent to install the Lindo CLI:
First install lindoai-cli globally and run lindoai skill to install the skill. Then run lindoai --help to learn all available commands. Finally run lindoai login to authenticate and connect to my workspace.
The agent will install the CLI, install the skill, read the help, authenticate, and start managing your workspace autonomously.

What OpenClaw Can Do with Lindo

  • Create websites from a text description
  • Onboard new clients and assign credits
  • Publish pages and blog posts
  • Monitor workflow status
  • Check analytics and credit balances

Hermes Agent

Hermes Agent is an autonomous AI agent built by Nous Research.

Setup

  1. Install Hermes Agent from Nous Research
  2. Ask your agent to install the Lindo CLI:
First install lindoai-cli globally and run lindoai skill to install the skill. Then run lindoai --help to learn all available commands. Finally run lindoai login to authenticate and connect to my workspace.

What Hermes Can Do with Lindo

  • Create and manage websites autonomously
  • Handle client onboarding workflows
  • Publish content on schedule
  • Monitor workspace health and credits

OpenCode

OpenCode is an open-source terminal-based AI coding agent. It executes shell commands, edits files, and manages projects — making it a natural fit for running Lindo CLI commands autonomously.

Setup

  1. Install OpenCode from opencode.ai or GitHub
  2. Tell OpenCode:
First install lindoai-cli globally and run lindoai skill to install the skill. Then run lindoai --help to learn all available commands. Finally run lindoai login to authenticate and connect to my workspace.

What OpenCode Can Do with Lindo

  • Build websites from natural language descriptions
  • Batch-create multiple sites for client onboarding
  • Manage client accounts and credit allocations
  • Publish pages and blog posts programmatically
  • Check workflow status and analytics

Claude Code

Claude Code is Anthropic’s terminal-based agentic coding tool. It runs shell commands, manages files, and orchestrates multi-step tasks — perfect for using the Lindo CLI to build and manage websites from your development environment.

Setup

  1. Install Claude Code from Anthropic or GitHub
  2. Tell Claude Code:
First install lindoai-cli globally and run lindoai skill to install the skill. Then run lindoai --help to learn all available commands. Finally run lindoai login to authenticate and connect to my workspace.

What Claude Code Can Do with Lindo

  • Create websites with detailed design prompts
  • Chain multiple operations (create client → build site → assign → magic link)
  • Debug and retry failed workflows
  • Integrate Lindo into larger development workflows

OpenAI Codex CLI

Codex is OpenAI’s open-source terminal coding agent. It executes shell commands and edits code autonomously — give it the Lindo CLI and it can create websites, manage clients, and publish content through natural language instructions.

Setup

  1. Install Codex from GitHub
  2. Tell Codex:
First install lindoai-cli globally and run lindoai skill to install the skill. Then run lindoai --help to learn all available commands. Finally run lindoai login to authenticate and connect to my workspace.

What Codex Can Do with Lindo

  • Create and manage websites via CLI commands
  • Automate repetitive client setup tasks
  • Publish content and check build status
  • Integrate with other tools in your terminal workflow

How It Works

AI agents interact with Lindo through the CLI. The flow is:
  1. Agent installs the Lindo CLI (npm install -g lindoai-cli)
  2. Agent installs the skill (lindoai skill) — writes the full command reference to the agent’s skill directory
  3. Agent reads the help (lindoai --help) — discovers available commands and the skill --print tip
  4. Agent authenticates (lindoai login)
  5. Agent runs commands to manage your workspace
When an agent runs lindoai --help, the output includes a tip to run lindoai skill --print which outputs the full SKILL.md — a complete reference of every command, parameter, and usage example. This teaches the agent everything it can do without needing external docs. The CLI also provides JSON output mode (--format json) which agents parse to understand results and make decisions.

Supported Agents

Any AI agent that can execute shell commands can use Lindo. The CLI is designed to be agent-friendly with:
  • Structured JSON output for machine parsing
  • Clear error messages with actionable suggestions
  • Non-interactive authentication via LINDO_API_KEY env var
  • Idempotent operations safe for retry
AgentStatusNotes
OpenClaw✅ SupportedFull CLI access via Telegram
Hermes✅ SupportedAutonomous task execution
OpenCode✅ SupportedTerminal-based coding agent
Claude Code✅ SupportedAlso works via MCP or Plugin
OpenAI Codex✅ SupportedAlso works via Codex Plugin
Custom agents✅ SupportedAny agent with shell access