dispatch

Name: dispatch
Availability: InStock
Author: jadecli

Coordinate multi-agent dispatch tasks with quality scoring and JSONL audit logs.

1|1|Updated Mar 27, 2026

Search Tags:#automation #logging #cli #multi-agent #dispatch #orchestration #scoring

Ready to run

npx skills add https://github.com/jadecli/researchers --skill dispatch-jadecli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dispatch
Source: https://github.com/jadecli/researchers/tree/main/claude-multi-agent-dispatch/.claude/skills/dispatch
Command: npx skills add https://github.com/jadecli/researchers --skill dispatch-jadecli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates a multi-agent workflow to complete a dispatch task with quality scoring and auditable logging, enabling reliable cross-agent collaboration and traceability.

Core Features & Use Cases

Orchestrated task flow: analyze tasks, classify complexity, select appropriate agents, fan out workload, and consolidate results.
Quality scoring & logging: compute result quality scores and emit structured logs (JSONL) for auditing and analytics.
Deterministic execution: maintain a reproducible dispatch pipeline with clear inputs, outputs, and audit trails.

Quick Start

Run a headless dispatch using the CLI to execute the workflow.

Frequently Asked Questions about dispatch

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

FAQPage Schema

How do I orchestrate multiple agents for a complex task dispatch?▼

Multi-agent dispatch orchestration coordinates task analysis, agent selection, and workload fan-out to execute complex workflows. It classifies task complexity, assigns work to appropriate agents, and consolidates results into a deterministic pipeline.

What is the best way to add quality scoring to a multi-agent workflow?▼

Quality scoring in a multi-agent workflow evaluates consolidated results to ensure reliable execution. It computes result quality scores automatically after workload fan-out, providing measurable feedback on agent performance and output accuracy.

How do I generate JSONL audit trails for automated agent orchestration?▼

JSONL audit trails for automated orchestration are generated as structured logs during the dispatch pipeline. They capture deterministic task flow events and quality scores, providing traceable records for analytics and debugging.

Can I run multi-agent dispatch workflows from the command line?▼

Yes, you can run headless multi-agent dispatch workflows directly from the command line. The CLI executes the full orchestration pipeline, handling task analysis, agent selection, and result logging without requiring a graphical interface.

When do I need a deterministic task flow for multi-agent orchestration?▼

A deterministic task flow is needed for multi-agent orchestration when reproducible pipelines and clear input-output mappings are required. It ensures consistent execution across diverse agents and produces auditable JSONL outputs for compliance.

Does multi-agent dispatch work without external dependencies?▼

Yes, multi-agent dispatch operates without external dependencies. The orchestration pipeline handles task analysis, agent selection, workload fan-out, and JSONL logging as a self-contained system, requiring no additional packages.