kanban-worker

Guide Hermes Kanban workers through task execution, handoffs, and retries.

Updated Feb 21, 2026

Search Tags:#workflow #task management #multi-agent #handoff #kanban #hermes

Ready to run

npx skills add https://github.com/Gitnapp/Skills --skill kanban-worker-gitnapp

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kanban-worker
Source: https://github.com/Gitnapp/Skills/tree/main/devops/kanban-worker
Command: npx skills add https://github.com/Gitnapp/Skills --skill kanban-worker-gitnapp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps Hermes Kanban workers avoid common workflow mistakes by providing detailed guidance for task execution, collaboration, retries, and completion handoffs.

Core Features & Use Cases

Worker Workflow Guidance: Explains workspace handling, tenant isolation, lifecycle expectations, and effective progress reporting patterns.
Handoff and Recovery Practices: Provides examples for completion metadata, review-required states, blocking decisions, and retry diagnostics.
Use Case: Help a distributed AI worker complete a coding or research task with clear summaries, structured metadata, and safe escalation when human input is needed.

Quick Start

Ask the AI to use the kanban-worker skill when handling Hermes Kanban worker tasks that require reliable handoffs and workflow decisions.

Frequently Asked Questions about kanban-worker

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

FAQPage Schema

How do I improve Kanban worker handoffs for multi-agent task execution?▼

You can improve Kanban worker handoffs by enforcing structured task reporting and completion metadata patterns. This provides operational guidance for reliable collaboration and clear downstream workflow processing.

What is the best way to handle blocked states and retries in a multi-agent workflow?▼

Handling blocked states and retries requires safe escalation when human input is needed and detailed retry diagnostics. Workers should use review-required states and structured metadata to communicate blocking decisions effectively.

How do I manage workspace isolation and lifecycle expectations for distributed AI workers?▼

Managing workspace isolation involves safe workspace handling and tenant isolation throughout the worker lifecycle. Workers must follow operational guidance for progress reporting and workspace management to maintain a reliable multi-agent environment.

Does this Kanban workflow guidance apply to both coding and research tasks?▼

Yes, this Kanban workflow guidance applies to both coding and research tasks. It helps distributed AI workers complete these tasks by providing clear summaries, structured metadata, and safe escalation protocols for human input.

Why do my Hermes Kanban workers fail during task completion and review handoffs?▼

Hermes Kanban workers often fail during handoffs due to common workflow mistakes like missing completion metadata or poor progress reporting. Providing detailed operational guidance for task execution and review-required states prevents these failures.