Ruflo Multi-Agent Orchestration
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
Patterns for running multi-agent swarms on research, development and testing work, with four topologies and a four-phase research swarm built on claude-flow MCP tools.
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/agentic-flow swarm-advanced --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/swarm-advanced .claude/skills/swarm-advanced && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .claude/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advancedType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/agentic-flow swarm-advanced --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/swarm-advanced .agents/skills/swarm-advanced && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .agents/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/agentic-flow swarm-advanced --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/swarm-advanced .cursor/skills/swarm-advanced && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .cursor/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/agentic-flow.git --path .claude/skills/swarm-advanced--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/agentic-flow swarm-advanced --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/swarm-advanced .gemini/skills/swarm-advanced && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .gemini/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/agentic-flow swarm-advancedInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/swarm-advanced .github/skills/swarm-advanced && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .github/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/agentic-flow --skill swarm-advanced -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/agentic-flow swarm-advanced --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/swarm-advanced .opencode/skills/swarm-advanced && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "swarm-advanced" agent skill from https://github.com/ruvnet/agentic-flow/tree/main/.claude/skills/swarm-advanced into .opencode/skills/swarm-advanced/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-advanced", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
swarm-advancedPatterns for running multi-agent swarms on research, development and testing work, with four topologies and a four-phase research swarm built on claude-flow MCP tools.
The skill is a pattern guide for Claude Flow swarms, used through MCP tools or CLI commands. It explains four topologies and what each suits: mesh for research and analysis, hierarchical for structured development, star for testing and validation, and ring for staged pipelines. Agent strategies are adaptive, balanced, specialized and parallel.
The first pattern is a research swarm that moves from parallel information gathering through analysis and validation and knowledge management to report generation. It calls claude-flow MCP tools such as swarm_init, parallel_execute, pattern_recognize, memory_search and task_orchestrate, and it expects claude-flow to be installed globally with npm.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a2f6c1c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxnpmclaudeFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Advanced Swarm Orchestration loads about 5.9k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 534 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 534 words (~5,948 tokens).
“Master advanced swarm patterns for distributed research, development, and testing workflows. This skill covers comprehensive orchestration strategies using both MCP tools and CLI commands.”
Just SKILL.md in .claude/skills/swarm-advanced of ruvnet/agentic-flow.
Open the folder on GitHubat commit a2f6c1c
We found 16 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in ruvnet/agentic-flow, which our catalogue first saw on October 7, 2026.
Advanced Swarm Orchestration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Advanced Swarm Orchestration this skillruvnet/agentic-flow | 818 | 5 repos | ~5.9k | Automated safety check: Pass | None | |
| Ruflo Multi-Agent Orchestrationruvnet/ruflo | 74k | 1 repos | ~975 | Automated safety check: Pass | MIT | |
| Puppetmaster Agent Orchestrationprofessorpalmer/Puppetmaster | 467 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Agent Deck Sessionsartwist-polyakov/polyakov-claude-skills | 208 | — | ~965 | Automated safety check: Pass | MIT | |
| Run Wavejpicklyk/task-orchestrator | 207 | — | ~5k | Automated safety check: Pass | MIT | |
| Sandboxed.sh MissionsTh0rgal/sandboxed.sh | 516 | — | ~23k | Automated safety check: Notes | MIT |
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
professorpalmer/Puppetmaster
Operates and supervises Puppetmaster, a multi-agent orchestrator, through its MCP tools or CLI, picking the right verb for edits, reviews, audits and long-running jobs.
artwist-polyakov/polyakov-claude-skills
Launches, monitors and collects results from child AI agent sessions with the agent-deck terminal session manager.
jpicklyk/task-orchestrator
Resolves ready MCP work items into a run plan, shows it to you, then executes it through the Workflow tool or direct subagent dispatch, with post-run verification.
Th0rgal/sandboxed.sh
Delegates multi-step coding or research tasks to isolated sandboxed.sh container missions through its MCP tools, each with a chosen workspace, agent profile and prompt.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
ruvnet/agentic-flow
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/agentic-flow
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet/agentic-flow
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
ruvnet/agentic-flow
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet/agentic-flow
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet/agentic-flow
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Works with
Categories
Patterns for running multi-agent swarms on research, development and testing work, with four topologies and a four-phase research swarm built on claude-flow MCP tools. The skill is a pattern guide for Claude Flow swarms, used through MCP tools or CLI commands. It explains four topologies and what each suits: mesh for research and analysis, hierarchical for structured development, star for testing and validation, and ring for staged pipelines.
Advanced Swarm Orchestration fits situations like: splitting a research task across agents that gather information in parallel; choosing a swarm topology for a development, testing or pipeline workflow; producing a synthesized research report from several agents' findings.
Run `npx skills add ruvnet/agentic-flow --skill swarm-advanced -a claude-code`. Or copy the skill folder (.claude/skills/swarm-advanced in ruvnet/agentic-flow) into .claude/skills/swarm-advanced in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/agentic-flow --skill swarm-advanced -a codex`. Or copy the skill folder (.claude/skills/swarm-advanced in ruvnet/agentic-flow) into .agents/skills/swarm-advanced in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/agentic-flow --skill swarm-advanced -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/swarm-advanced, .gemini/skills/swarm-advanced, .github/skills/swarm-advanced and .opencode/skills/swarm-advanced in your project.
Going by SKILL.md and its folder, Advanced Swarm Orchestration needs the command-line tools its instructions call (npx, npm and claude). Our summary lists: claude-flow installed globally with npm.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Advanced Swarm Orchestration or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 5.9k tokens (SKILL.md is roughly 24k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Advanced Swarm Orchestration: Ruflo Multi-Agent Orchestration (ruvnet/ruflo, 74k stars), Puppetmaster Agent Orchestration (professorpalmer/Puppetmaster, 467 stars), Agent Deck Sessions (artwist-polyakov/polyakov-claude-skills, 208 stars) and Run Wave (jpicklyk/task-orchestrator, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/agentic-flow, which has 818 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 10, 2026.
Source: ruvnet/agentic-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.