Does it require manual input between every task?

No, the skill is designed for full automation. It will continue looping through the task list until the entire specification is completed or a halt is triggered.

Can I monitor the tasks while they are running?

Yes, the orchestrator uses tmux to create dedicated windows for each sub-task, allowing you to attach to the session and view live execution logs.

Where is the task progress stored?

Progress is automatically saved to SEQUENTIAL_STATE.json and a human-readable SEQUENTIAL_PROGRESS.md file within your spec directory.

What happens if a task requires human intervention?

The system includes a HALT signal mechanism. If a task outputs a specific halt promise, the orchestrator pauses and waits for user input before continuing.

How does this skill prevent API quota exhaustion?

It executes tasks one at a time with configurable delays between iterations, ensuring your API usage stays within safe limits during long-running jobs.

Sequential Task Orchestrator

Name: Sequential Task Orchestrator
Author: PeterFile

byPeterFile

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Productividad y Flujo de Trabajo

Automates the serial execution of complex project specifications with real-time tmux visibility and intelligent rate-limit management.

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The Sequential Orchestrator is designed for high-reliability execution of multi-step development tasks derived from Kiro specifications. It manages long-running jobs by processing sub-tasks one at a time, preventing API quota exhaustion and rate-limit triggers. By utilizing a Python-based loop and tmux sessions, it provides a transparent, windowed environment where developers can monitor progress or let the agent run autonomously overnight. The skill features automated state persistence, sub-agent task assignment for precision, and integrated safety halts for manual intervention.

Características Principales

Real-time monitoring via organized tmux windows for each sub-task
Persistent progress tracking via JSON and Markdown state files
Configurable execution delays to avoid API rate limits and quota exhaustion
Fully automated serial task execution without user intervention
25 GitHub stars
Intelligent task assignment using specialized LLM sub-agents

Casos de Uso

Processing complex feature implementations from detailed Kiro specs
Managing throttled sequences of agent tasks that require high stability
Executing massive codebase refactors or migrations overnight

Acerca de

Características Principales

Real-time monitoring via organized tmux windows for each sub-task
Persistent progress tracking via JSON and Markdown state files
Configurable execution delays to avoid API rate limits and quota exhaustion
Fully automated serial task execution without user intervention
25 GitHub stars
Intelligent task assignment using specialized LLM sub-agents

Casos de Uso

Processing complex feature implementations from detailed Kiro specs
Managing throttled sequences of agent tasks that require high stability
Executing massive codebase refactors or migrations overnight