Code Conductor enables operations teams to run multiple Claude Code sub agents in parallel, accelerating development cycles. It provides GitHub-native orchestration, eliminating conflicts and complexity. Teams can ship features 10x faster by leveraging AI coding agents for rapid, conflict-free development.
git clone https://github.com/ryanmac/code-conductor.gitCode Conductor enables operations teams to run multiple Claude Code sub agents in parallel, accelerating development cycles. It provides GitHub-native orchestration, eliminating conflicts and complexity. Teams can ship features 10x faster by leveraging AI coding agents for rapid, conflict-free development.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ryanmac/code-conductorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as Code Conductor for our development team. We need to implement a new feature for [COMPANY] in the [INDUSTRY] sector. Use [NUMBER] Claude Code sub agents to work in parallel on the following tasks: [TASK1], [TASK2], and [TASK3]. Ensure all code is conflict-free and follows our GitHub workflow.
# Code Conductor Execution Report ## Feature Implementation: User Authentication for [COMPANY] ### Task Breakdown - **Task 1: Backend API Development** - Completed by Agent 1 - Implemented JWT authentication - Added user role management - **Task 2: Frontend Integration** - Completed by Agent 2 - Created React components for login/signup - Integrated with backend API - **Task 3: Database Schema** - Completed by Agent 3 - Designed user table with appropriate fields - Implemented secure password hashing ### Conflict Resolution - No conflicts detected during parallel execution - All changes merged successfully into main branch ### Next Steps 1. Conduct thorough testing of the new feature 2. Deploy to staging environment for QA 3. Monitor performance metrics post-deployment
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