How does this skill improve context management?

It implements 'Context Protection' patterns that ensure the orchestrator only handles coordination, while specialized agents handle the heavy lifting, preventing the main conversation from becoming cluttered with code.

What agent templates are included?

The skill includes templates for Scouts (analysis), Builders (implementation), and Reviewers (verification), as well as patterns for result aggregation and final reporting.

What is an orchestrator workflow in Claude Code?

An orchestrator workflow is a design pattern where a lead AI agent manages specialized sub-agents (like scouts or builders) to complete complex, multi-step tasks efficiently without overwhelming the context window.

Can this skill handle failed implementation attempts?

Yes, it includes conditional flow logic specifically designed for review failures, allowing the orchestrator to parse issues and command builders to iterate until criteria are met.

Orchestrator Workflow Prompts

Name: Orchestrator Workflow Prompts
Author: melodic-software

bymelodic-software

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Productivity & Workflow

Generates structured prompts and phase transitions for complex multi-agent orchestration workflows.

About

The Orchestration Prompts skill provides a comprehensive framework for designing sophisticated multi-agent systems within Claude Code. It offers standardized templates for orchestrator system prompts, reconnaissance scouts, implementation builders, and verification reviewers. By implementing these patterns, developers can build robust workflows that handle complex tasks through discrete phases, maintain strict context boundaries, and aggregate results into professional reports, ensuring higher reliability and better code quality in AI-driven development.

Key Features

Robust result aggregation and final report formatting
1 GitHub stars
Standardized templates for Scout, Builder, and Reviewer agents
Conditional error handling and iteration patterns
Context protection strategies to prevent token bloat
Pre-defined multi-phase workflow logic (Analysis to Reporting)

Use Cases

Designing autonomous multi-agent systems for large-scale refactoring
Implementing automated verification gates in AI development pipelines
Building structured reconnaissance workflows for unfamiliar codebases

About

Key Features

Robust result aggregation and final report formatting
1 GitHub stars
Standardized templates for Scout, Builder, and Reviewer agents
Conditional error handling and iteration patterns
Context protection strategies to prevent token bloat
Pre-defined multi-phase workflow logic (Analysis to Reporting)

Use Cases

Designing autonomous multi-agent systems for large-scale refactoring
Implementing automated verification gates in AI development pipelines
Building structured reconnaissance workflows for unfamiliar codebases