Individual skill
swarm-pattern
Orchestrate lightweight multi-agent workflows where agents hand off to each other with routines and context variables.
skills/swarm-pattern/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 56
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,647 bytes
Read excerpt
## Overview
The swarm pattern structures multi-agent work as handoffs between small,
single-purpose agents. Each agent has a name, instructions, a narrow toolset, and
the ability to transfer control to another agent — returning which agent should
act next, optionally with updated context variables. There's no central
orchestrator reasoning over everything; the workflow emerges from the handoff
graph. A triage agent routes to a specialist, the specialist does its job and
hands back or onward.
The power is in the constraints: agents are routines, not general intelligences.
Each does one thing with the minimal tools it needs, which makes behavior
predictable, debuggable, and cheap. The pattern fits workflows that are naturally
staged — intake → specialist → review — better than it fits open-ended