project-worker

Execute scoped work orders within a project directory using local indices.

4|Updated Dec 7, 2025
One-click install
npx skills add https://github.com/grigb/gas-prompt-library --skill project-worker-grigb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-worker
Source: https://github.com/grigb/gas-prompt-library/tree/main/agents/agent-project-worker
Command: npx skills add https://github.com/grigb/gas-prompt-library --skill project-worker-grigb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of fragmented project execution by providing an autonomous worker that handles work orders, updates status, and manages blockers without requiring constant human intervention.

Core Features & Use Cases

  • Autonomous Execution: Executes unblocked work orders inline, including analysis, implementation, and verification.
  • Lifecycle Management: Automatically updates work order indices, manages blocker resolution, and handles project-level status reporting.
  • Use Case: A developer can dispatch this agent to a project directory to clear a backlog of ready-to-work tasks, ensuring that all dependencies are checked and results are documented in the appropriate project artifacts.

Quick Start

Activate the project-worker skill by providing the absolute path to your project root and the specific work order IDs you wish to execute.

Frequently Asked Questions about project-worker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate work order execution for my development project?

To automate work order execution, you provide the project root path and specific work order IDs. The agent then reads local indices and applies development rules to unblock, implement, and verify tasks autonomously.

What is autonomous project execution and how does it manage blockers?

Autonomous project execution handles work orders without constant human intervention by automatically resolving blockers, updating work order indices, and managing project-level status reporting throughout the task lifecycle.

Do I need local rules files and work order queues to use autonomous task management?

Yes, autonomous task management requires access to project-specific rules files and work order queues within your project directory to ensure consistent, autonomous task completion and lifecycle management.

How do I dispatch an agent to clear a backlog of ready-to-work tasks?

You dispatch the agent by activating it with the absolute path to your project root and the target work order IDs, allowing it to check dependencies, execute implementation, and document results.

What's the best way to manage fragmented project execution across multiple work orders?

Managing fragmented project execution is best handled by an autonomous worker that processes unblocked work orders inline, automatically updating status indices and managing blocker resolution without requiring constant human intervention.

What are the limitations of using an autonomous worker for project task completion?

The autonomous worker is limited by its dependency on local project indices and specific rules files; without access to project-specific work order queues and rules, it cannot ensure consistent task completion.