cognos-hivemind

Dispatch tasks to relevant skills and coordinate agent swarms.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/Eli5DeFi/Cognos --skill cognos-hivemind
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cognos-hivemind
Source: https://github.com/Eli5DeFi/Cognos/tree/main/modules/cognos-hivemind
Command: npx skills add https://github.com/Eli5DeFi/Cognos --skill cognos-hivemind

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides the central nervous system for AI agents, enabling them to coordinate, learn from each other, and collectively improve their capabilities over time.

Core Features & Use Cases

  • Skill Dispatch: Matches incoming tasks to the most relevant available skill.
  • Agent Coordination: Orchestrates multiple agents for complex tasks (swarms).
  • Skill Evolution: Processes feedback to automatically improve and version skills.
  • Use Case: When an agent needs to perform a complex analysis, the Hivemind can dispatch specialized agents to different parts of the task in parallel, then merge their findings.

Quick Start

Use the cognos hivemind skill to dispatch the task 'analyze user feedback for sentiment and key themes'.

Frequently Asked Questions about cognos-hivemind

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

FAQPage Schema
How do I orchestrate multiple AI agents to run tasks in parallel?

AI agent orchestration coordinates distributed agents by dispatching specialized tasks in parallel and merging findings. This enables complex analysis by matching incoming tasks to relevant skills and managing agent swarms for comprehensive execution.

How does collective feedback improve AI agent skills automatically?

Collective feedback improves AI agent skills through automated skill evolution. The system processes agent feedback to refine, version, and self-improve skills over time within a distributed cognitive architecture.

What is the best way to dispatch tasks to specialized AI agents?

Task dispatching matches incoming requests to the most relevant available skill within the cognitive architecture. This routes tasks to specialized agents, enabling parallel processing of complex analysis and seamless merging of results.

Do I need a distributed architecture to coordinate AI agent swarms?

Distributed cognitive architecture is required to coordinate AI agent swarms effectively. The system integrates with memory, graph, and skillforge modules to manage task dispatching and agent coordination across the distributed environment.

Can I use this for self-evolving AI and automated skill refinement?

Self-evolving AI is supported through automated skill refinement based on collective feedback. The orchestration system manages skill graph evolution, allowing distributed agents to collectively improve capabilities without manual intervention.

How do I manage a skill graph for distributed AI agents?

Skill graph management maintains and evolves AI agent capabilities within the distributed cognitive architecture. It facilitates task dispatching, agent coordination via swarms, and automated skill refinement by integrating memory and graph modules.