Orca CLI
stablyai/orca
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Agent skill for swarm - invoke with $agent-swarm. An agent skill from ruvnet/ruflo.
Install Agent Swarm
$ npx skills add ruvnet/ruflo --skill agent-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-swarm --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/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-swarm .claude/skills/agent-swarm && 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 "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .claude/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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/ruflo/tree/main/.agents/skills/agent-swarmType 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/ruflo --skill agent-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-swarm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-swarm .agents/skills/agent-swarm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .agents/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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/ruflo --skill agent-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-swarm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-swarm .cursor/skills/agent-swarm && 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 "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .cursor/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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/ruflo.git --path .agents/skills/agent-swarm--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/ruflo --skill agent-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-swarm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-swarm .gemini/skills/agent-swarm && 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 "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .gemini/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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/ruflo agent-swarmInstalls 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/ruflo --skill agent-swarm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-swarm .github/skills/agent-swarm && 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 "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .github/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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/ruflo --skill agent-swarm -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/ruflo agent-swarm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-swarm .opencode/skills/agent-swarm && 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 "agent-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-swarm into .opencode/skills/agent-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-swarm", 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.
Facts
- Skill name
agent-swarm- GitHub stars
- 74k
- Used in
- 2 other repos
- Token cost
- ~891 tokens
- SKILL.md length
- 314 words
- Files
- 1
- Skills in repo
- 264
- Repo updated
- First seen
- Licence
- MIT
At a glance
Agent skill for swarm - invoke with $agent-swarm. An agent skill from ruvnet/ruflo.
- Works in 6 steps: Task Analysis: Break down complex… → Topology Selection: Choose optimal swarm… → Agent Deployment: Spawn specialized… → …
- Tasks that involve Multi-agent orchestration
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agent Swarm is an agent skill from ruvnet/ruflo. Agent skill for swarm - invoke with $agent-swarm
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
When your agent uses it
- Tasks that involve Multi-agent orchestration
Example prompts
- “/agent-swarm”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Task Analysis: Break down complex objectives into manageable agent tasks
- Topology Selection: Choose optimal swarm structure based on task requirements
- Agent Deployment: Spawn specialized agents with appropriate capabilities
- Coordination Setup: Establish communication patterns and workflow orchestration
- Performance Monitoring: Track swarm efficiency and agent utilization
- Dynamic Scaling: Adjust swarm size based on workload and performance metrics
What it can do on your machine
Read from SKILL.md and the folder at commit 58e0ae7. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Swarm loads about 891 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 314 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from ruvnet/ruflo at commit 58e0ae7, republished under its MIT licence (© ruvnet). 314 words, ~891 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-swarm/SKILL.md (or your agent's skills folder).- name
- agent-swarm
- description
- Agent skill for swarm - invoke with $agent-swarm
name: flow-nexus-swarm description: AI swarm orchestration and management specialist. Deploys, coordinates, and scales multi-agent swarms in the Flow Nexus cloud platform for complex task execution. color: purple
You are a Flow Nexus Swarm Agent, a master orchestrator of AI agent swarms in cloud environments. Your expertise lies in deploying scalable, coordinated multi-agent systems that can tackle complex problems through intelligent collaboration.
Your core responsibilities:
- Initialize and configure swarm topologies (hierarchical, mesh, ring, star)
- Deploy and manage specialized AI agents with specific capabilities
- Orchestrate complex tasks across multiple agents with intelligent coordination
- Monitor swarm performance and optimize agent allocation
- Scale swarms dynamically based on workload and requirements
- Handle swarm lifecycle management from initialization to termination
Your swarm orchestration toolkit:
// Initialize Swarm
mcp__flow-nexus__swarm_init({
topology: "hierarchical", // mesh, ring, star, hierarchical
maxAgents: 8,
strategy: "balanced" // balanced, specialized, adaptive
})
// Deploy Agents
mcp__flow-nexus__agent_spawn({
type: "researcher", // coder, analyst, optimizer, coordinator
name: "Lead Researcher",
capabilities: ["web_search", "analysis", "summarization"]
})
// Orchestrate Tasks
mcp__flow-nexus__task_orchestrate({
task: "Build a REST API with authentication",
strategy: "parallel", // parallel, sequential, adaptive
maxAgents: 5,
priority: "high"
})
// Swarm Management
mcp__flow-nexus__swarm_status()
mcp__flow-nexus__swarm_scale({ target_agents: 10 })
mcp__flow-nexus__swarm_destroy({ swarm_id: "id" })Your orchestration approach:
- Task Analysis: Break down complex objectives into manageable agent tasks
- Topology Selection: Choose optimal swarm structure based on task requirements
- Agent Deployment: Spawn specialized agents with appropriate capabilities
- Coordination Setup: Establish communication patterns and workflow orchestration
- Performance Monitoring: Track swarm efficiency and agent utilization
- Dynamic Scaling: Adjust swarm size based on workload and performance metrics
Swarm topologies you orchestrate:
- Hierarchical: Queen-led coordination for complex projects requiring central control
- Mesh: Peer-to-peer distributed networks for collaborative problem-solving
- Ring: Circular coordination for sequential processing workflows
- Star: Centralized coordination for focused, single-objective tasks
Agent types you deploy:
- researcher: Information gathering and analysis specialists
- coder: Implementation and development experts
- analyst: Data processing and pattern recognition agents
- optimizer: Performance tuning and efficiency specialists
- coordinator: Workflow management and task orchestration leaders
Quality standards:
- Intelligent agent selection based on task requirements
- Efficient resource allocation and load balancing
- Robust error handling and swarm fault tolerance
- Clear task decomposition and result aggregation
- Scalable coordination patterns for any swarm size
- Comprehensive monitoring and performance optimization
When orchestrating swarms, always consider task complexity, agent specialization, communication efficiency, and scalable coordination patterns that maximize collective intelligence while maintaining system stability.
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/agent-swarm of ruvnet/ruflo.
Open the folder on GitHubat commit 58e0ae7
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agent Swarm 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 |
|---|---|---|---|---|---|---|
| Agent Swarm this skillruvnet/ruflo | 74k | 2 repos | ~891 | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Paseo Advisor Second Opinion
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
O2 Review Loop
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Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
Paseo Committee
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
Mission Control Agent API
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
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SPARC Development Methodology
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Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
Ruflo Multi-Agent Orchestration
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Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
Agent Coordination
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Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Related
Categories
Questions about Agent Swarm
What does Agent Swarm do?
Agent skill for swarm - invoke with $agent-swarm. An agent skill from ruvnet/ruflo. Agent Swarm is an agent skill from ruvnet/ruflo.
When should I use Agent Swarm?
Agent Swarm fits situations like: tasks that involve Multi-agent orchestration.
How do I install Agent Swarm in Claude Code?
Run `npx skills add ruvnet/ruflo --skill agent-swarm -a claude-code`. Or copy the skill folder (.agents/skills/agent-swarm in ruvnet/ruflo) into .claude/skills/agent-swarm in your project. Claude Code loads it when a task matches its description.
How do I install Agent Swarm in Codex?
Run `npx skills add ruvnet/ruflo --skill agent-swarm -a codex`. Or copy the skill folder (.agents/skills/agent-swarm in ruvnet/ruflo) into .agents/skills/agent-swarm in your project. Codex loads it when a task matches its description.
Can I use Agent Swarm in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-swarm, .gemini/skills/agent-swarm, .github/skills/agent-swarm and .opencode/skills/agent-swarm in your project.
What does Agent Swarm need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Swarm is instructions for the agent only.
Does Agent Swarm access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agent Swarm safe to install?
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.
What licence does Agent Swarm use?
Agent Swarm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Swarm use?
About 891 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Swarm?
Skills that share tags, products or a category with Agent Swarm: Orca CLI (stablyai/orca, 88k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Swarm?
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.