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ak-task

Manage the full lifecycle of AI agent tasks from creation to merge or reject.

439|35|Updated Mar 20, 2026
Search Tags:#automation#workflow#task-management#code-review#kanban#ai-agents#pull-requests
One-click install
npx skills add https://github.com/saltbo/agent-kanban --skill ak-task
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ak-task
Source: https://github.com/saltbo/agent-kanban/tree/main/skills/ak-task
Command: npx skills add https://github.com/saltbo/agent-kanban --skill ak-task

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI teams often struggle to coordinate complex, multi-step work across humans and agents. This Skill provides an end-to-end workflow to create tasks, assign them to agents, monitor progress, review changes, and finalize work, ensuring a structured lifecycle.

Core Features & Use Cases

  • Orchestrates the full task lifecycle: create → assign → monitor → review → merge/reject.
  • Reads a target repository's context (board, agents, repo) to select the right workflow and ensure prerequisites (e.g., CONTRIBUTING.md) are respected.
  • Handles interactive clarification with the user for ambiguous tasks and enforces dependencies to prevent overlapping work on shared files.
  • Use Case: when asked to implement a feature or fix a bug, the skill will generate and track a task, assign it, monitor PR status, and ensure completion or proper rejection.

Quick Start

Describe the feature or bug to the AI and invoke ak-task to create, assign, and monitor the full lifecycle automatically.

Frequently Asked Questions about ak-task

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

FAQPage Schema
How do I automate task lifecycle management for AI agents working on pull requests?▼

Automate task lifecycle management by orchestrating the full workflow from creation to merge, assigning tasks to AI agents, monitoring progress, and enforcing code review guidelines for pull requests.

What is the best way to coordinate multi-step AI agent workflows across a kanban board?▼

Coordinate multi-step AI agent workflows by orchestrating the end-to-end lifecycle on a kanban board, automatically tracking task status from creation through assignment, monitoring, and final review.

How does interactive clarification work when assigning ambiguous bug fixes to an AI agent?▼

Interactive clarification prompts the user for missing details when a bug fix or feature addition is ambiguous, ensuring the AI agent receives precise instructions before task assignment begins.

Can I use automated task management to prevent overlapping work on shared repository files?▼

Yes, automated task management enforces task dependencies to prevent overlapping work on shared files, ensuring agents respect repository context and prerequisites before modifying code.

Does the automated task workflow respect existing repository context like CONTRIBUTING.md?▼

Yes, the automated task workflow reads target repository context to select the right workflow, ensuring prerequisites such as CONTRIBUTING.md guidelines are strictly respected during code review and merging.

When should I not use end-to-end AI task lifecycle orchestration?▼

Avoid end-to-end AI task lifecycle orchestration for single-step, independent changes that require no monitoring, dependency enforcement, or pull request review, as the structured workflow adds unnecessary overhead.

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