swarm-orchestration
78Coordinate Multi-Agent Swarms
Coordinating many agents is hard when roles, topology, and task flow are unclear. This skill provides swarm patterns, hook workflows, and coordination practices for agentic-flow.
Orchestrate Advanced Multi-Agent Swarms
Complex projects need coordinated agents, dependencies, memory, and recovery. This skill provides reusable Claude Flow patterns for research, development, testing, analysis, and monitoring.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "swarm-advanced" from https://skillstore.io/skills/ruvnet-swarm-advanced.md and its manifest at https://skillstore.io/api/skills/ruvnet-swarm-advanced/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "swarm-advanced". Plan a swarm to research current database options for a regulated application.
Expected outcome:
Using "swarm-advanced". Coordinate delivery of account recovery for an existing web application.
Expected outcome:
Using "swarm-advanced". Create a recovery plan for a testing swarm that fails during parallel execution.
Expected outcome:
Most alerts are false positives caused by Markdown fences, inline names, documentation links, and ordinary guidance. Four findings are confirmed because examples execute community npm packages through global installation or unversioned npx commands. No prompt injection, exfiltration intent, or malicious behavior was found.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/ruvnet-swarm-advanced/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/ruvnet-swarm-advanced?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/ruvnet-swarm-advanced?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/ruvnet-swarm-advanced/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/ruvnet-swarm-advanced.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ruvnet. (2026). swarm-advanced security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/ruvnet-swarm-advanced/audits/8@techreport{ruvnet-ruvnet-swarm-advanced-2026,
author = {ruvnet},
title = {swarm-advanced security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/ruvnet-swarm-advanced/audits/8},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "swarm-advanced security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "ruvnet"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/ruvnet-swarm-advanced/audits/8"
identifiers:
- type: other
value: "skillstore:ruvnet-swarm-advanced:audit:8"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
dnyoussef-swarm-advanced
2026-08-21
ruvnet-swarm-advanced
2026-08-21
Assign source discovery, validation, analysis, and synthesis to specialized agents, then combine results into a structured report.
Coordinate architecture, backend, frontend, database, testing, review, documentation, and deployment tasks with explicit dependencies.
Parallelize unit, integration, performance, and security checks while centralizing monitoring and final reporting.
Create a mesh swarm plan for [research topic]. Define agent roles, parallel tasks, validation steps, dependencies, and the final report structure.
Design a hierarchical swarm for [feature]. Assign architecture, implementation, testing, review, and documentation tasks with clear dependencies and completion criteria.
Plan a star-topology testing swarm for [system]. Cover unit, integration, end-to-end, performance, and security testing with monitoring and reporting.
Design a reusable swarm workflow for [objective]. Include topology changes, memory namespaces, checkpoints, retries, scaling rules, metrics, failure recovery, and approval boundaries.
Author
ruvnetLicense
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
ebdfe608f5de2b66ff37ab4af12af8ac4f5e8006
Maintenance freshness
7/26/2026
Usage
6 downloads ยท 284 views
File structure
๐ SKILL.md
Coordinate Multi-Agent Swarms
Coordinating many agents is hard when roles, topology, and task flow are unclear. This skill provides swarm patterns, hook workflows, and coordination practices for agentic-flow.
Build Adaptive ReasoningBank Agents
AI agents lose useful lessons when outcomes are not recorded. This skill shows how to capture experiences, learn patterns, and recommend better strategies.
Structure Software Delivery with SPARC
Complex software work often lacks a consistent path from requirements to completion. This skill applies SPARC phases, specialized modes, and coordinated development workflows.
Coordinate Advanced Claude Flow Agent Swarms
Complex projects require coordinated agents, durable context, and transparent decisions. This skill guides Claude Flow swarms through queen-led roles, consensus, memory, and sessions.
Build Claude Code Skills
Creating valid Claude or Codex skills can be hard when structure, metadata, and disclosure rules are unclear. This skill provides templates, checklists, and examples for building organized skills.
Build AgentDB Vector Search
Teams need fast semantic retrieval without designing vector storage from scratch. This skill guides AgentDB setup, embedding storage, similarity search, and RAG retrieval workflows.
Orchestrate Multi-Model Skill Cascades
by DNYoussef
Complex AI work often needs several skills, models, and quality checks. This skill helps design cascades with routing, sandbox testing, swarm coordination, and memory.
Build Streamed Multi-Agent Workflows
by DNYoussef
Sequential AI workflows often lose context between steps. This skill defines stream-chain patterns that pass each result into the next task.
Coordinate Parallel Subagent Workflows
by DieGopherLT
Multi-agent work can fail when tasks overlap or depend on hidden context. This skill helps Claude, Codex, and Claude Code plan bounded subagent assignments.
Create Reusable Lark CLI Skills
by larksuite
Building reusable Lark automation requires consistent API research, permissions, and workflow documentation. This skill guides Claude and Codex through focused lark-cli skills for single APIs or multi-step workflows.
Design Multi-Agent Architectures
by ChakshuGautam
Complex agent work can fail when one context window carries every task. This skill helps Claude, Codex, and Claude Code design agent systems with clear handoffs.
Standardize Nathan n8n and Python Workflows
by 89jobrien
Nathan automation work needs consistent n8n, Jira, and Python patterns. This skill gives Claude, Codex, and Claude Code project-specific standards for safer implementation.