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opencode

Orchestrate AI coding tasks across CLI, API, and multi-provider workflows.

1|Updated Feb 17, 2026
Search Tags:#cli#orchestration#sessions#tools#ai-coding#server-api
One-click install
npx skills add https://github.com/lprior-repo/claude-skills --skill opencode-lprior-repo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opencode
Source: https://github.com/lprior-repo/claude-skills/tree/main/opencode
Command: npx skills add https://github.com/lprior-repo/claude-skills --skill opencode-lprior-repo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

OpenCode provides a token-efficient runtime for orchestrating AI-powered coding tasks across CLI, API, and provider routing, reducing friction and cost in building end-to-end automation workflows.

Core Features & Use Cases

  • Unified CLI/TUI for running and attaching to sessions, enabling deterministic workflows.
  • Server mode with HTTP API and SSE/polling for real-time orchestration, monitoring, and tooling integration.
  • Multi-provider model routing with MCP servers, custom agents, and tool integrations to streamline development pipelines.
  • Real-world scenario: manage a coding task from local prompt to remote assistant, orchestrate steps, and capture structured results.

Quick Start

Launch the server and attach a client to run a sample task.

Frequently Asked Questions about opencode

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

FAQPage Schema
How do I orchestrate AI coding tasks across multiple providers and CLI workflows?▼

You can orchestrate AI coding tasks across multiple providers using a unified CLI and API runtime that routes commands and manages sessions deterministically. This reduces friction by handling tool integrations and multi-provider model routing within a single environment.

What is the best way to monitor AI coding sessions in real-time during automation?▼

Real-time monitoring of AI coding sessions is handled via server mode with HTTP API and SSE/polling updates. This mechanism pushes live orchestration states and tooling integration results to connected clients without excessive token consumption.

Can I use MCP servers and custom agents with an AI coding runtime for tool integration?▼

Yes, the AI coding runtime supports MCP servers, custom agents, and tool integrations natively. It routes tasks through multi-provider models and modular architectures defined in SKILL.md to streamline dynamic development pipelines.

How do I run and attach to deterministic AI coding sessions from a local prompt to a remote assistant?▼

You can run and attach to deterministic AI coding sessions using the unified CLI/TUI. This allows you to launch a local prompt, orchestrate the execution steps, and capture structured results from a remote assistant seamlessly.

Does AI coding orchestration require specific dependencies to manage server APIs and SSE updates?▼

No specific dependencies are required to manage server APIs and SSE updates. The runtime operates independently with a modular architecture, using optional scripts, references, and assets defined in SKILL.md to execute token-efficient workflows.

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