How does it know which workflow to use?

It scans your request for specific keywords like 'analyze' or 'research' for investigation tasks, and 'build', 'fix', or 'implement' for development tasks.

Can it handle tasks that require both research and coding?

Yes, it supports hybrid tasks by sequentially invoking the investigation workflow followed by the development workflow to ensure the code is well-informed.

What does the Ultrathink Orchestrator do?

It acts as a central router that detects the type of work you are requesting and triggers the most efficient workflow—either investigation or development.

Why is this skill better than standard prompting?

It uses standardized, canonical logic to estimate complexity and follow a structured execution pattern, leading to more consistent and reliable coding outcomes.

Ultrathink Orchestrator

Name: Ultrathink Orchestrator
Author: rysweet

byrysweet

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Productivity & Workflow

Automatically orchestrates development and investigation workflows by detecting task intent from natural language requests.

About

The Ultrathink Orchestrator serves as the primary intelligence hub for Claude Code, intelligently routing requests to the most appropriate workflow based on detected intent. By analyzing triggers such as 'implement', 'fix', or 'investigate', it determines whether a task requires deep analytical research or active code implementation, then delegates to specialized sub-skills. This pattern ensures a standardized, high-quality approach to agentic coding while maintaining a single source of truth for orchestration logic and task complexity estimation.

Key Features

Standardized task complexity estimation and orchestration logic
Centralized management via canonical command referencing
Automatic intent detection for investigation and development tasks
17 GitHub stars
Support for hybrid workflows involving both research and implementation
Intelligent delegation to specialized workflow skills

Use Cases

Orchestrating complex feature builds that require initial architectural analysis
Standardizing agentic coding patterns across a development team
Transitioning seamlessly from debugging/investigation to active bug resolution

About

Key Features

Standardized task complexity estimation and orchestration logic
Centralized management via canonical command referencing
Automatic intent detection for investigation and development tasks
17 GitHub stars
Support for hybrid workflows involving both research and implementation
Intelligent delegation to specialized workflow skills

Use Cases

Orchestrating complex feature builds that require initial architectural analysis
Standardizing agentic coding patterns across a development team
Transitioning seamlessly from debugging/investigation to active bug resolution