agenttalk-sk-loop

Manage persistent task implementation and review loops for spec-kitty missions via agenttalk.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/JonusNattapong/agenttalk-mcp --skill agenttalk-sk-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agenttalk-sk-loop
Source: https://github.com/JonusNattapong/agenttalk-mcp/tree/main/src/skills/codex/agenttalk-sk-loop
Command: npx skills add https://github.com/JonusNattapong/agenttalk-mcp --skill agenttalk-sk-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires spec-kitty, agenttalk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill facilitates a persistent loop for Codex agents to implement and review tasks in a spec-kitty mission using agenttalk for coordination.

Core Features & Use Cases

  • Persistent Loop: Continuously monitor and execute tasks in a spec-kitty mission.
  • Task Implementation & Review: Automate the process of implementing code and reviewing it with peers.
  • Use Case: In a team-based software development project, use this Skill to ensure smooth coordination and task completion between developers using spec-kitty and agenttalk.

Quick Start

Start the skill loop by running: python -m agenttalk-sk-loop

Frequently Asked Questions about agenttalk-sk-loop

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

FAQPage Schema
How do I automate code review and task implementation in a continuous loop?

Automate code review and task implementation by running a persistent loop that continuously monitors and executes tasks within a spec-kitty mission. The skill handles assignment, implementation, and review cycles automatically using agenttalk for messaging and coordination.

What is the best way to coordinate mission tasks between developers using spec-kitty and agenttalk?

Coordinate mission tasks between developers by using agenttalk for messaging and spec-kitty for task management within a persistent loop. This setup ensures smooth task completion and continuous peer review cycles in team-based software development projects.

Do I need spec-kitty and agenttalk installed to run the persistent task loop?

Yes, you need both spec-kitty and agenttalk installed to run the persistent task loop. The skill requires spec-kitty for task management and agenttalk for coordination and communication to handle the implementation and review cycles.

How do I start the persistent loop for implementing and reviewing spec-kitty tasks?

Start the persistent loop for implementing and reviewing spec-kitty tasks by running the command `python -m agenttalk-sk-loop`. This initiates the continuous monitoring and execution cycle for your mission tasks.

Can I use this persistent loop for team-based software development task assignment?

Yes, you can use this persistent loop for team-based software development. It manages task assignment, implementation, and review cycles continuously, ensuring smooth coordination and task completion between developers using spec-kitty and agenttalk.

Why does the task loop require both spec-kitty and agenttalk for coordination?

The task loop requires both spec-kitty and agenttalk because spec-kitty handles task management and mission tracking, while agenttalk provides the messaging and coordination layer needed for communication during the implementation and review cycles.