dispatching-parallel-agents

Dispatch parallel agents to investigate independent failures with MCP result aggregation.

2|Updated Sep 30, 2025
One-click install
npx skills add https://github.com/krzemienski/shannon-framework --skill dispatching-parallel-agents-krzemienski
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/krzemienski/shannon-framework/tree/main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/krzemienski/shannon-framework --skill dispatching-parallel-agents-krzemienski

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates multiple independent failure domains in parallel to reduce total investigation time and improve efficiency with structured MCP results.

Core Features & Use Cases

  • Independent-domain dispatch: Assign parallel agents per domain.
  • Shannon wave coordination: Synchronized parallel work with quantified progress.
  • MCP result aggregation: Consolidate per-domain results into a unified report.
  • Performance-focused workflow: Achieve significant time savings on multi-domain issues.

Quick Start

Identify 3+ independent failures, dispatch one agent per domain with a shared wave_id, then aggregate results via MCP.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I dispatch parallel agents to investigate multiple independent failures simultaneously?

Dispatch parallel agents by assigning one agent per independent failure domain with a shared wave_id. Each agent investigates its domain independently, then MCP aggregates results into a unified report, reducing total investigation time compared to sequential analysis.

What is Shannon-wave coordination and how does it improve parallel failure investigation?

Shannon-wave coordination synchronizes parallel work across multiple domains with quantified progress tracking. It enables structured, measurable parallel execution so each domain agent operates independently while maintaining visibility into overall investigation progress.

Can I use this approach when failures span multiple independent subsystems?

Yes. This Skill is designed for multi-domain scenarios where 3+ independent failures occur in distinct subsystems that don't require cross-domain context. Each domain receives its own agent, making it ideal when subsystems fail independently and can be analyzed without shared dependencies.

How does MCP result aggregation consolidate findings from multiple parallel agents?

MCP aggregates per-domain results into a centralized report. Each agent scores its domain investigation (0.00–1.00 success), then MCP collects and consolidates these domain-specific results and scores into a single unified output for review.

When should I use parallel agent dispatch instead of sequential investigation?

Use parallel dispatch when you have 3+ independent failures and need to reduce total investigation time. Sequential investigation is slower; parallel dispatch with per-domain agents and MCP aggregation delivers significant time savings on multi-domain issues without cross-domain dependencies.