opcode

🥇Gold

Opcode is a GUI app and toolkit for Claude Code. It enables operations teams to create custom agents, manage interactive sessions, and run secure background agents. It connects to Claude Code SDK and integrates with IDEs like Cursor.

21,4061,5730Updated Today

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/winfunc/opcode.git

Works with:

Claude

Overview

About This Skill

https://github.com/user-attachments/assets/6bceea0f-60b6-4c3e-a745-b891de00b8d0

How to Use

["Install Opcode via the Claude Code SDK or Cursor IDE extension. Run `opcode install` in your terminal to set up the toolkit.","Define your custom agent's purpose and settings in a configuration file (e.g., `agent_config.json`). Include parameters like task scope, retry logic, and input/output sources.","Launch the agent using the Opcode CLI: `opcode run --config agent_config.json --mode [interactive/background]`. For background mode, add `--log-to-file /path/to/logs` to capture output.","Monitor the agent's progress in real-time using `opcode status --agent-name [AGENT_NAME]` or review logs in your specified destination.","Iterate by adjusting the agent's configuration based on performance metrics or error logs. Use `opcode update` to modify settings without restarting the agent."]

Use Cases

Create and manage custom AI agents for specific coding tasks.

Track and analyze Claude API usage and costs in real-time.

Manage multiple interactive coding sessions with session history and insights.

Run background agents to perform tasks without interrupting the main workflow.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/winfunc/opcode

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use Opcode to create a custom agent that [TASK]. Configure the agent with [AGENT_SETTINGS] and run it in [MODE]. Monitor the agent's output and log any errors or warnings to [LOG_DESTINATION].

Example Output

```json
{
  "agent_name": "inventory_sync_agent",
  "status": "completed",
  "duration": "4m 12s",
  "tasks_executed": 12,
  "success_rate": 100,
  "output": {
    "inventory_updates": [
      {"sku": "IPHONE-15-PRO", "old_qty": 150, "new_qty": 142, "warehouse": "NYC"},
      {"sku": "MACBOOK-PRO-M3", "old_qty": 89, "new_qty": 85, "warehouse": "LAX"},
      {"sku": "IPAD-AIR-5", "old_qty": 203, "new_qty": 200, "warehouse": "CHI"}
    ],
    "errors": [],
    "warnings": [
      {"message": "Low stock alert for SKU: MACBOOK-PRO-M3 (85 units)", "threshold": 100}
    ]
  },
  "logs": "Agent ran in background mode with auto-retry enabled. All tasks completed without manual intervention."
}
```

The inventory_sync_agent was configured with the following settings:
- Mode: Background (secure, no GUI)
- Retry attempts: 3
- Rate limit: 10 requests/second
- Input source: SQL database (inventory_db)
- Output destination: REST API (warehouse_api)

The agent executed a full inventory sync across 3 warehouses, updating quantities for 12 SKUs. All updates were processed in under 5 minutes with no failures. A low-stock warning was automatically generated for the MacBook Pro M3 (85 units remaining vs. 100 threshold). The agent logged all actions to a file in `/var/log/opcode/inventory_sync_agent.log` for audit purposes.