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lamtuanvu
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claude-code-driver

Delegate coding tasks to Claude Code via invoke.sh or subagent execution.

Updated Feb 24, 2026
Search Tags:#developer tools#prompt engineering#code generation#task delegation#codebase management#ai coding assistant
One-click install
npx skills add https://github.com/lamtuanvu/claude-code-driver --skill claude-code-driver
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-code-driver
Source: https://github.com/lamtuanvu/claude-code-driver/tree/main
Command: npx skills add https://github.com/lamtuanvu/claude-code-driver --skill claude-code-driver

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of handing off complex coding tasks to a specialized AI agent (Claude Code), ensuring efficient and context-aware code development, modification, and bug fixing.

Core Features & Use Cases

  • Intelligent Task Delegation: Seamlessly transfers user requests to Claude Code, which handles the full cognitive loop of codebase exploration, planning, implementation, and verification.
  • Context-Aware Development: Claude Code leverages direct access to the codebase to understand patterns, dependencies, and architectural nuances, leading to more accurate and integrated solutions.
  • Use Case: When a user asks to "add a new API endpoint for user profiles," this Skill constructs a detailed prompt and dispatches it to Claude Code, which then explores the existing API structure, implements the endpoint, writes tests, and verifies its functionality.

Quick Start

Use the claude-code-driver skill to add a new feature to the project.

Frequently Asked Questions about claude-code-driver

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

FAQPage Schema
How do I delegate complex coding tasks to an AI coding assistant for autonomous implementation?▼

You can delegate coding tasks to an AI coding assistant by orchestrating a hand-off that enables autonomous codebase exploration, planning, implementation, and verification. This ensures context continuity and appropriate task scoping.

What is the best way to manage AI code generation context when adding new features across an existing codebase?▼

Managing AI code generation context is best handled through intelligent task delegation that provides direct codebase access. This allows the AI to understand patterns, dependencies, and architectural nuances for accurate solutions.

Does this task delegation approach support different modes for bug fixing and feature planning?▼

Yes, task delegation supports four distinct modes: one-shot, plan-checkpoint, hotfix, and follow-up. These modes ensure appropriate task scoping and context continuity for both bug fixing and feature planning.

Can I use the Claude Code CLI for script execution if my environment lacks direct CLI access?▼

Yes, script execution is supported via invoke.sh for direct interaction with the Claude Code CLI. If the CLI is unavailable, it automatically falls back to subagent execution to complete the coding task.

How does an AI coding assistant handle codebase exploration and test writing when dispatched a task?▼

When dispatched a task, the AI coding assistant handles codebase exploration and test writing by running a full cognitive loop. It explores existing structures, implements changes, writes tests, and verifies functionality.

What are the limitations of using subagent execution as a fallback for code generation tasks?▼

The primary limitation of using subagent execution as a fallback is that it activates only when the Claude Code CLI is unavailable. Fallback execution ensures task completion but may lack the direct CLI interaction depth of primary script execution.

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