commander

Orchestrates task management and skill execution within a Claude-based AI system.

4|2|Updated Jan 27, 2026

Search Tags:#task-management #workflow-automation #commander #skill-upgrade #reasoning-logging #AI-orchestration

Ready to run

npx skills add https://github.com/gqy20/Skills_demo --skill commander

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: commander
Source: https://github.com/gqy20/Skills_demo/tree/main/.claude/skills/commander
Command: npx skills add https://github.com/gqy20/Skills_demo --skill commander

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill centralizes and automates the orchestration of tasks and sub-skills within a Claude-based AI assistant, reducing manual coordination and improving reliability.

Core Features & Use Cases

Task orchestration: coordinates task creation, progress tracking, and results aggregation across multiple sub-skills.
Reasoning capture: maintains a live inference log and ensures traceability for audits and debugging.
Skill upgrade coordination: manages transitions from k_ to p_ skills and archives older variants.

Quick Start

Use the commander skill to start a new task with /commander start and let it automatically generate and orchestrate the required sub-skills.

Frequently Asked Questions about commander

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

FAQPage Schema

How do I automate task orchestration and skill execution in a Claude-based AI system?▼

Task orchestration in a Claude-based AI system uses a centralized coordinator to initiate tasks, monitor progress, generate sub-skills, and aggregate results automatically. It relies on SKILL.md frontmatter and optional references to coordinate plans without external installation.

Why do I need a centralized coordinator for managing AI workflows and sub-skills?▼

A centralized coordinator for AI workflows reduces manual coordination and improves reliability. It maintains a live inference log for traceability, manages skill upgrade transitions, and archives older variants to ensure consistent execution across complex tasks.

How do I start a new task and generate the required sub-skills automatically?▼

To start a new task and generate sub-skills automatically, initiate the process using the /commander start command. The system then coordinates task creation, tracks progress, and orchestrates the required sub-skills throughout the workflow.

Can I record reasoning logs and ensure traceability for AI task debugging?▼

Reasoning logs and traceability for AI task debugging are maintained through live inference capture. The orchestration system records reasoning steps during task execution, ensuring complete audit trails and facilitating debugging across workflows.

Does AI workflow orchestration require any external dependencies or installation?▼

AI workflow orchestration requires no external dependencies or installation. It operates entirely within the Claude-based system, relying on SKILL.md frontmatter and optional references to coordinate plans, statuses, and results.

What is the best way to manage skill upgrades and archive older variants in an AI assistant?▼

Managing skill upgrades and archiving older variants is handled by the orchestration system, which coordinates transitions between skill versions and archives outdated ones. This ensures the AI assistant maintains current workflows while preserving historical data.