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opencode-cli

Delegate multi-file coding and iterative debugging tasks to an AI agent via the OpenCode CLI.

850|114|Updated Mar 9, 2026
Search Tags:#refactoring#json output#ai coding#cli automation#session continuation#multi-provider models#multi-file context
One-click install
npx skills add https://github.com/wentorai/Research-Claw --skill opencode-cli-wentorai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opencode-cli
Source: https://github.com/wentorai/Research-Claw/tree/main/skills/opencode-cli
Command: npx skills add https://github.com/wentorai/Research-Claw --skill opencode-cli-wentorai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

It removes the friction of coordinating complex, multi-file coding work by letting you delegate implementation and debugging to an AI coding agent from the terminal.

Core Features & Use Cases

  • Multi-provider AI coding with CLI automation: Handles coding tasks using multiple LLM providers, including selecting models for different workloads.
  • Multi-file context and iterative refinement: Lets you attach relevant files, continue sessions, and fork when iterating on changes.
  • Structured outputs for downstream use: Supports JSON output to make results easier to parse and integrate into Research-Claw workflows.

Quick Start

Run opencode to implement a feature by saying: "Refactor the auth module to use dependency injection".

Frequently Asked Questions about opencode-cli

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

FAQPage Schema
How do I delegate multi-file refactoring to an AI from the command line?▼

You can delegate multi-file refactoring to an AI by running the CLI with a prompt like "Refactor the auth module to use dependency injection." The agent handles the implementation and debugging directly from your terminal.

Can I continue or fork a prior coding session when iterating on changes?▼

Yes, you can continue or fork prior coding sessions. This allows iterative refinement on multi-file changes by attaching relevant files and resuming work across different LLM providers.

Does this CLI tool support JSON output for downstream automation?▼

Yes, the CLI supports non-interactive runs with optional JSON-formatted output. This structured format makes results easier to parse and integrate into automated Research-Claw workflows.

What do I need to run AI coding automation with multiple LLM providers?▼

You need an installed OpenCode CLI and appropriate provider configuration with API keys. Optional file attachments can be added for context to handle multi-file coding tasks.

What's the best way to fix type errors across multiple files using an AI CLI?▼

Use the CLI to delegate type-error fixing by providing the relevant files as context. The AI agent iteratively debugs and resolves errors across the multi-file scope from the terminal.

When should I not use an AI coding agent for feature implementation?▼

You should not use it when you lack installed CLI access or configured API keys for LLM providers. It requires an established terminal environment to execute multi-file coding and debugging tasks.

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