How does it handle iteration loops?

It creates individual tasks for each possible iteration (e.g., 'Iteration 1/10') so the user can see exactly which cycle is running and how close the process is to hitting a max limit.

When should I use TodoWrite Orchestration?

Use it for complex workflows with 5 or more phases, or any task expected to last longer than 10 minutes, to provide real-time visibility and prevent 'black box' execution.

Why should I initialize all phases upfront?

Initializing upfront sets user expectations for the total scope, allows the system to calculate accurate progress percentages, and prevents 'surprise' phases later in the process.

How many tasks should a typical workflow include?

For a 15-minute workflow, aim for 8-12 tasks. Longer workflows can scale up to 20 tasks. Each task should ideally represent a significant operation lasting 1-5 minutes.

TodoWrite Workflow Orchestration

Name: TodoWrite Workflow Orchestration
Author: MadAppGang

byMadAppGang

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177

Productivity & Workflow

Orchestrates complex multi-phase AI workflows using TodoWrite to provide real-time progress visibility and task management.

About

TodoWrite Workflow Orchestration provides a standardized framework for managing complex, long-running tasks within Claude Code by converting opaque 'black box' processes into transparent, trackable milestones. By implementing battle-tested patterns like upfront phase initialization, granular task breakdown, and real-time status transitions, this skill ensures users have constant visibility into progress, iteration counts, and remaining work. It is particularly effective for workflows exceeding five phases or ten minutes, eliminating uncertainty by providing clear progress percentages and immediate feedback on current execution states.

Key Features

Granular Task Management: Breaks complex operations into 1-5 minute trackable units for better feedback.
177 GitHub stars
Real-time Status Transitions: Updates task states immediately from pending to in-progress to completed.
Phase Initialization: Creates comprehensive task lists before workflow execution begins to set scope.
Iteration Loop Tracking: Provides specific visibility into repeated cycles and progress against max limits.
Discovery Handling: Allows for adding newly discovered tasks during execution without losing context.

Use Cases

Tracking complex CI/CD pipeline deployments or multi-stage integration testing.
Managing multi-hour codebase migrations or large-scale architectural refactors.
Monitoring iterative design validation loops or repetitive AI data processing tasks.

About

Key Features

Granular Task Management: Breaks complex operations into 1-5 minute trackable units for better feedback.
177 GitHub stars
Real-time Status Transitions: Updates task states immediately from pending to in-progress to completed.
Phase Initialization: Creates comprehensive task lists before workflow execution begins to set scope.
Iteration Loop Tracking: Provides specific visibility into repeated cycles and progress against max limits.
Discovery Handling: Allows for adding newly discovered tasks during execution without losing context.

Use Cases

Tracking complex CI/CD pipeline deployments or multi-stage integration testing.
Managing multi-hour codebase migrations or large-scale architectural refactors.
Monitoring iterative design validation loops or repetitive AI data processing tasks.