multiagent-orchestration

Orchestrates parallel subagent execution with environment gates, plan approval, and aggregation.

Updated Dec 29, 2025
One-click install
npx skills add https://github.com/snoodleboot-io/discrecontinual_equations --skill multiagent-orchestration-snoodleboot-io
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multiagent-orchestration
Source: https://github.com/snoodleboot-io/discrecontinual_equations/tree/main/.claude/skills/multiagent-orchestration
Command: npx skills add https://github.com/snoodleboot-io/discrecontinual_equations --skill multiagent-orchestration-snoodleboot-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating work that decomposes into independent units often defaults to slow serial execution, or parallel agents start against unprepared environments and unapproved plans, causing failures and rework. ## Core Features & Use Cases - Gated Parallel Execution: Enforces a hard environment-readiness gate and a plan-approval gate before any implementation lane spawns. - Dependency-Driven Spawning: Maps each unit's dependencies, dispatches unblocked subagents simultaneously, and supports recursive subagent spawning within units. - Aggregation and Debug Loops: Defines per-phase aggregators that validate cross-lane consistency, plus retry and escalation logic for failing units. - Use Case: When a feature request splits into independent backend, frontend, and test lanes, use this Skill to load conventions, verify services are running, present a Mermaid execution plan for approval, then run all lanes concurrently. ## Quick Start Ask the assistant to run the multiagent implementation for your decomposable task and approve the presented execution plan.

Frequently Asked Questions about multiagent-orchestration

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

FAQPage Schema
How do I run tasks in parallel with multiple AI subagents?▼

Decompose the work into units with explicit dependencies, then spawn one subagent per independent unit simultaneously. Units with no dependency between them run in parallel by default, and downstream units unblock as soon as their dependencies resolve.

What is an environment-readiness gate in multiagent workflows?▼

It is a hard gate where a setup subagent starts and verifies every required service, database, and watcher before any coding lane begins. An unstartable service is reported as a blocker rather than silently proceeding against a degraded environment.

When should I use multiagent orchestration instead of a single agent?▼

Use it when a request decomposes into independently executable units that would otherwise run one at a time, such as parallel feature lanes or concurrent test and implementation streams. Single-threaded tasks gain nothing from the orchestration overhead.

Does parallel subagent execution require human approval?▼

Yes, the plan-before-work gate is non-negotiable. The orchestrator presents a markdown plan with the agent roster, environment manifest, Mermaid execution map, and gap report, and waits for explicit approval before spawning any implementation lane.

What happens when a parallel subagent lane fails?▼

The orchestrator runs a debug and retry loop for the failing unit. A persistently failing unit is escalated as a surfaced blocker rather than retried indefinitely, and material plan changes trigger a pause and re-approval.