orchestrating-swarms

Orchestrate parallel and sequential multi-agent workflows for research, code review, and pipelines.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/beratcelik1/compound-claude --skill orchestrating-swarms-beratcelik1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/beratcelik1/compound-claude/tree/main/skills/orchestrating-swarms
Command: npx skills add https://github.com/beratcelik1/compound-claude --skill orchestrating-swarms-beratcelik1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multi-agent swarms to coordinate parallel research, code reviews, and pipeline workflows so a single coordinator can synthesize results and avoid conflicts.

Core Features & Use Cases

  • Parallel Research and Review: Launch multiple agents in one message to gather diverse findings concurrently and synthesize a unified report.
  • Divide-and-Conquer Execution: Split independent files or modules across background agents to speed multi-file implementations while avoiding merge conflicts.
  • Pipeline & Worktree Patterns: Support sequential-phased pipelines with fan-out review stages and recommend worktree isolation for agents that write code.
  • Governance & Safety Rules: Enforce rules like capping parallelism, using specialized agent types, and always synthesizing outputs to assign severities and deduplicate findings.
  • Use Case: Run a parallel multi-agent code review that produces a single prioritized list of P1/P2/P3 issues and recommended fixes.

Quick Start

Start by instructing the coordinator to spawn parallel review agents with background execution for each target diff, wait for all to finish, and then synthesize a single unified report.

Frequently Asked Questions about orchestrating-swarms

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

FAQPage Schema
How do I coordinate multi-agent parallel code reviews without merge conflicts?

Multi-agent parallel code reviews require a coordinator to spawn background agents with worktree isolation for each target diff. This prevents merge conflicts by keeping independent file or module modifications isolated across agents.

What is the best way to synthesize outputs from parallel agents running concurrently?

Synthesizing outputs from parallel agents involves a central coordinator that deduplicates findings and assigns severities. The coordinator waits for all background agents to finish before merging results into a single unified report.

Can I run fan-out and fan-in pipeline workflows sequentially with multiple agents?

Fan-out and fan-in pipelines support sequential-phased execution where multiple agents run concurrently during the fan-out stage. The fan-in stage then synthesizes and deduplicates all agent outputs into a final unified result.

How many parallel agents can I spawn for a divide-and-conquer implementation?

Divide-and-conquer implementations enforce caps on parallelism to avoid conflicts and manage resource limits. You should spawn background agents within these enforced governance rules to safely speed multi-file implementations.

When do I need worktree isolation for multi-agent orchestration?

Worktree isolation is needed for multi-agent orchestration whenever agents write code simultaneously. It prevents merge conflicts by ensuring each background agent operates on an independent git diff within its own isolated worktree.

Does multi-agent swarm orchestration support security audits across multiple files?

Multi-agent swarm orchestration supports security audits by splitting independent files or modules across specialized background agents. The coordinator then synthesizes the concurrent findings into a single prioritized list of issues.