qplace-super-power

Coordinates parallel AI agents for QPlace task automation across multiple tools.

Updated Jan 12, 2026
One-click install
npx skills add https://github.com/qplace-company/qplace-marketplace --skill qplace-super-power
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qplace-super-power
Source: https://github.com/qplace-company/qplace-marketplace/tree/main/plugins/qplace-super-power/skills/qplace-super-power
Command: npx skills add https://github.com/qplace-company/qplace-marketplace --skill qplace-super-power

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

QPlace Super Power mode enables seamless orchestration of multiple AI agents to tackle complex, multi-tool tasks in enterprise workflows. It activates when the qsp or qplace-super-power keywords are used, pulling in comprehensive tool support and enforcing completion.

Core Features & Use Cases

  • Parallel execution of explore, librarian, and multimodal-looker to accelerate work
  • Oracle architecture advisory to guide complex decisions
  • Todo management with forced completion to prevent mid-course abandonment
  • Deterministic multi-agent coordination across external tools for scalable automation
  • Suitable for enterprise automation, product workflows, and cross-tool analysis

Quick Start

Activate QPlace Super Power mode by prefixing your request with qplace-super-power or qsp and let the orchestrator run explore, librarian, and multimodal-looker in parallel.

Frequently Asked Questions about qplace-super-power

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

FAQPage Schema
How do I automate enterprise workflows with parallel AI agents?

Automate enterprise workflows with parallel AI agents by using an orchestration mode that coordinates explore, librarian, and multimodal-looker agents simultaneously. This enables parallel execution across multiple tools to accelerate complex task completion.

What is deterministic multi-agent coordination for task automation?

Deterministic multi-agent coordination ensures reliable, predictable orchestration across external tools. It enforces task completion and prevents mid-course abandonment by applying Sisyphus and Ultrawork patterns to manage complex, simultaneous agent workflows.

How do I run parallel information retrieval and multimodal analysis across multiple tools?

Run parallel information retrieval and multimodal analysis by activating an orchestrator that dispatches explore and multimodal-looker agents concurrently. This architecture supports simultaneous exploration and analysis across external tools for scalable enterprise automation.

Can I use parallel agent orchestration for enterprise cross-tool analysis?

Yes, parallel agent orchestration suits enterprise cross-tool analysis by coordinating multiple AI agents simultaneously. It applies Oracle-based architecture guidance to manage deterministic workflows across various external tools and platforms.

How do I prevent AI agents from abandoning mid-course tasks during workflow automation?

Prevent AI agents from abandoning tasks by using forced completion mechanisms within the orchestration architecture. Todo management enforces task completion, ensuring parallel agents finish their assigned enterprise workflows without mid-course abandonment.