kanban-worker

Standardize ZedClaw Kanban worker handoffs with structured metadata and correct completion semantics.

4|Updated May 18, 2026
One-click install
npx skills add https://github.com/ZardLi1115/zedclaw --skill kanban-worker-zardli1115
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kanban-worker
Source: https://github.com/ZardLi1115/zedclaw/tree/main/skills/devops/kanban-worker
Command: npx skills add https://github.com/ZardLi1115/zedclaw --skill kanban-worker-zardli1115

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents failed or low-signal Kanban worker handoffs by documenting workspace rules, tenant isolation, correct completion/block semantics, safe retry diagnosis, and common lifecycle pitfalls for ZedClaw workers.

Core Features & Use Cases

  • Workspace and state correctness: Helps workers behave correctly in scratch vs persistent directories vs git worktrees, including how to avoid stale artifacts and improper file modifications.
  • High-quality handoffs: Defines how to shape kanban_complete, kanban_block, and kanban_comment so downstream tools and humans can reliably parse results and decide next actions.
  • Safe review gating & retry hygiene: Ensures tasks are blocked for human review when appropriate and provides guidance on interpreting prior run outcomes to avoid repeating failing paths.

Quick Start

Use the kanban-worker skill to craft a correct kanban_complete or kanban_block handoff by following the lifecycle guidance and structured metadata patterns for your current task.

Frequently Asked Questions about kanban-worker

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

FAQPage Schema
How do I write reliable Kanban worker handoffs with structured metadata?

Reliable Kanban worker handoffs require using kanban_show before starting, then shaping kanban_complete, kanban_block, and comment payloads with structured metadata and review-required reasons. This prevents low-signal outcomes from reaching downstream human reviewers.

How does workspace isolation work for multi-tenant Kanban workers?

Workspace isolation for multi-tenant Kanban workers ensures correct behavior across scratch directories, persistent shared state, and git worktrees. This prevents stale artifacts and improper file modifications across isolated tenant memory boundaries during worker execution.

When do I need to block a Kanban task for human review?

You need to block a Kanban task for human review when outcomes require manual validation before proceeding. Safe review gating uses kanban_block payloads to provide downstream tools and humans with structured reasons to decide next actions reliably.

How do I diagnose retry scenarios for failed Kanban worker tasks?

Diagnosing retry scenarios for failed Kanban tasks involves interpreting prior run outcomes to avoid repeating failing paths. Safe retry hygiene requires reviewing previous execution metadata to identify and bypass previously unsuccessful worker execution routes.

What is the best way to structure kanban_complete payloads for downstream parsing?

The best way to structure kanban_complete payloads is to include structured metadata, outcomes, and review-required reasons. This standardization allows downstream tools and human reviewers to reliably parse worker results and decide next actions without ambiguity.

Why should I avoid claiming nonexistent created cards in Kanban workflows?

Claiming nonexistent created cards in Kanban workflows breaks downstream parsing and misleads human reviewers. Correct completion semantics require providing accurate metadata and outcomes without fabricating card creation to maintain workflow handoff reliability.