/task

Automate Judgemind GitHub issues from claim through PR and review.

2|3|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/judgemind/judgemind --skill task-judgemind
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: /task
Source: https://github.com/judgemind/judgemind/tree/main/.claude/skills/task
Command: npx skills add https://github.com/judgemind/judgemind --skill task-judgemind

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end handling of Judgemind GitHub issues from claim through PR and review, reducing manual toil and error-prone handoffs.

Core Features & Use Cases

  • Autonomous issue picking from the backlog (agent/ready) or a specific issue, with natural-language filters like scrapers.
  • End-to-end execution including claim, task orchestration, PR creation, and review-request posting.
  • Governance and safety checks such as duplicate-PR detection, status updates, and escalation to human review when needed.

Quick Start

Request the next ready issue with /task and allow the agent to complete it end-to-end through PR and review without asking for confirmation.

Frequently Asked Questions about /task

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

FAQPage Schema
How do I automate GitHub issue management from claim through pull request?

Automating GitHub issue management end-to-end is achieved by using an autonomous agent that claims issues, orchestrates tasks, creates pull requests, and posts review requests. This eliminates manual toil and error-prone handoffs throughout the workflow.

Can I filter specific GitHub backlog issues for task automation using natural language?

Yes, task automation supports natural-language filters like scrapers to select specific issues. You can apply this to open agent or ready backlog items, or target a specific issue using its number for autonomous end-to-end processing.

What is the best way to prevent duplicate pull requests when automating GitHub workflows?

Preventing duplicate pull requests in GitHub workflow automation requires built-in governance and safety checks. The system performs duplicate-PR detection during autonomous operation before proceeding with PR creation and status updates.

How does an autonomous agent handle task escalation during GitHub pull request reviews?

Autonomous agents handle task escalation during pull request reviews by triggering human review when needed. This governance mechanism ensures safe operation while maintaining automated status updates throughout the issue resolution process.

Do I need to confirm actions when running automated task orchestration on GitHub issues?

No, automated task orchestration on GitHub issues operates autonomously without requiring confirmation. You can request the next ready issue and allow the agent to complete it end-to-end through PR and review automatically.

What are the limitations of autonomous task automation for GitHub issue resolution?

Autonomous task automation for GitHub issue resolution is limited to open agent or ready backlog items and specific numbered issues. It escalates to human review when governance checks fail or duplicate-PR detection triggers, preventing unsupervised PR creation.