What are Ultrawork Utility Scripts?

They are a collection of Bun-based scripts that allow Claude Code agents to manage sessions, tasks, and context using standardized terminal commands.

What is the {SCRIPTS_PATH} placeholder?

It is a text placeholder that represents the absolute path to the ultrawork scripts directory, provided dynamically in the agent's system prompt.

Can I use these scripts for TDD?

Yes, the task-create.js script includes a specific approach for Test-Driven Development, allowing agents to track test creation and failure before implementation.

How do these scripts save tokens?

Instead of reading entire JSON files, agents use the --field flag to extract only the specific data points they need, significantly reducing context window usage.

Which agents are compatible with this skill?

This skill is required for all agent roles in the Ultrawork ecosystem, including explorers, planners, workers, verifiers, and reviewers.

Ultrawork Utility Scripts

Name: Ultrawork Utility Scripts
Author: mnthe

bymnthe

•

Productivity & Workflow

Orchestrates multi-agent development workflows by providing standardized session, task, and context management scripts.

About

The Ultrawork Utility Scripts skill is designed to power sophisticated multi-agent team patterns within Claude Code. It provides a robust set of command-line utilities for managing the entire development lifecycle—from initial exploration and planning to task execution and verification. By abstracting session state and task tracking into a script-based interface, it ensures high token efficiency, consistent error handling, and seamless context sharing between specialized agents like Explorers, Planners, and Workers.

Key Features

Support for Test-Driven Development (TDD) and complex task dependencies
Full task lifecycle management including creation, tracking, and evidence collection
Session state orchestration for managing complex multi-phase AI workflows
Token-efficient data retrieval using field-specific extraction scripts
Context summarization tools that generate AI-friendly markdown findings
2 GitHub stars

Use Cases

Coordinating a team of specialized AI agents to complete complex software engineering projects
Automating progress tracking and evidence collection during automated code refactoring
Maintaining shared context and state across long-running development sessions

About

Key Features

Support for Test-Driven Development (TDD) and complex task dependencies
Full task lifecycle management including creation, tracking, and evidence collection
Session state orchestration for managing complex multi-phase AI workflows
Token-efficient data retrieval using field-specific extraction scripts
Context summarization tools that generate AI-friendly markdown findings
2 GitHub stars

Use Cases

Coordinating a team of specialized AI agents to complete complex software engineering projects
Automating progress tracking and evidence collection during automated code refactoring
Maintaining shared context and state across long-running development sessions