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master-execution

Orchestrate multi-agent development workflows with task routing and PR management.

5|1|Updated Feb 4, 2026
Search Tags:#workflow automation#agent orchestration#code management#pull requests#task routing#memory mcp
One-click install
npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill master-execution
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: master-execution
Source: https://github.com/Disaster-Terminator/RewardsCore/tree/main/.trae/archive/multi-agent/skills/master-execution
Command: npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill master-execution

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of managing multi-agent development workflows, including task routing, code commits, and pull request management, ensuring efficient and organized project progression.

Core Features & Use Cases

  • Intelligent Task Routing: Distributes tasks to appropriate sub-agents (dev, test, docs) based on type and status.
  • Code Commit & PR Management: Implements pre-commit hooks, micro-commit strategies, and manages PR review processes.
  • Memory MCP Integration: Utilizes a Memory MCP for knowledge retrieval and archiving of rules and task outcomes.
  • Use Case: When a development task is completed and passes initial tests, this Skill automatically routes it for documentation updates if necessary, or directly to the PR creation and review stage, ensuring a smooth handover.

Quick Start

Initiate the master execution skill to process a new development task by providing its details.

Frequently Asked Questions about master-execution

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

FAQPage Schema
How do I automate task routing for multi-agent development workflows?▼

Automate task routing by distributing development, testing, and documentation assignments to appropriate sub-agents based on task type and status. This ensures organized project progression and smooth handovers between different phases of the development lifecycle.

What is the best way to manage pull requests and code commits across multiple agents?▼

Manage pull requests by implementing pre-commit hooks for code integrity and using a micro-commit strategy for incremental changes. The workflow handles PR review processes, incorporating AI-driven feedback and enforcing manual merge requirements to ensure quality control.

Can I integrate Memory MCP for knowledge retrieval in agent orchestration?▼

Yes, you can integrate Memory MCP to archive rules and retrieve knowledge from task outcomes. This integration supports the agent orchestration workflow by maintaining a persistent knowledge base of past development results and operational guidelines.

How does automated code lifecycle management handle documentation updates after testing?▼

Automated code lifecycle management routes completed tasks that pass initial tests directly to documentation updates when necessary. This ensures that documentation sub-agents are triggered automatically before moving to the PR creation and review stage.

Do I need manual merge requirements for AI-driven PR review processes?▼

Yes, manual merge requirements are enforced even with AI-driven PR review processes. This ensures that human oversight is maintained during code integration, preventing automated agents from merging code changes without explicit approval.

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