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.