What is TodoWrite Orchestration?

It is a set of patterns for using the TodoWrite tool to create transparent, trackable progress reports for long or complex AI-driven workflows within Claude Code.

Can it handle iterative loops?

Yes, it includes specific patterns for tracking iterations, allowing you to see progress through repeating tasks like validation, debugging, or testing loops.

When should I use this skill?

Use this skill for any workflow involving 5 or more phases, or for tasks expected to take more than 10 minutes to complete, to ensure the user isn't left in the dark.

How does it improve the user experience?

It removes the 'black box' feel of AI processing by showing exactly what phase is currently running, what has been finished, and what steps remain.

Does it support dynamic tasks?

Absolutely. The skill provides patterns for adding new tasks mid-execution if additional work is discovered during the implementation phase of a workflow.

TodoWrite Orchestration

Name: TodoWrite Orchestration
Author: tianzecn

bytianzecn

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生产力与工作流

Orchestrates complex multi-phase workflows by providing real-time progress visibility and task management using the TodoWrite tool.

关于

TodoWrite Orchestration is a specialized skill designed to transform opaque, long-running Claude tasks into transparent, trackable processes. It implements battle-tested patterns for initializing complete task lists upfront, managing status transitions between phases, and handling iteration loops. This skill is essential for developers managing workflows involving more than five phases or tasks exceeding ten minutes, ensuring users always have visibility into current status, pending steps, and overall completion percentages, effectively eliminating the 'black box' experience during complex AI operations.

主要功能

Automated iteration loop tracking with per-iteration task updates and limits
Real-time status transitions from pending to in-progress to completed
Support for dynamic task discovery to add new work phases during execution
Granular task tracking for significant operations to ensure meaningful progress updates
Pre-initialization of complete multi-phase task lists for full scope visibility
1 GitHub stars

使用场景

Tracking a multi-step code refactoring process across a large codebase
Monitoring iterative design-to-code loops that require multiple refinement cycles
Orchestrating complex deployment pipelines with multiple validation gates

关于

主要功能

Automated iteration loop tracking with per-iteration task updates and limits
Real-time status transitions from pending to in-progress to completed
Support for dynamic task discovery to add new work phases during execution
Granular task tracking for significant operations to ensure meaningful progress updates
Pre-initialization of complete multi-phase task lists for full scope visibility
1 GitHub stars

使用场景

Tracking a multi-step code refactoring process across a large codebase
Monitoring iterative design-to-code loops that require multiple refinement cycles
Orchestrating complex deployment pipelines with multiple validation gates