Team Swarm

by catlog22

Team Swarm is an AI Engineering skill for Claude Code, published by catlog22 in maestro-flow.

530 stars65 forkson catlog22/maestro-flowAdded 2026/08/26+1% in starsRepository updated 2026/08/24

View source on GitHub Download repo ZIP

ai-agentsclaude-codeclicodexgeminiknowledge-graphmcpmulti-agenttypescriptworkflow-orchestration

Install in seconds

Install Team Swarm

Copy Team Swarm into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/catlog22/maestro-flow/tree/master/.claude/skills/team-swarm ~/.claude/skills/team-swarm

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/catlog22/maestro-flow.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/team-swarm/SKILL.md in catlog22/maestro-flow
Installs to: ~/.claude/skills/team-swarm
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Team Swarm does

Team Swarm orchestrates ant-colony-style multi-agent exploration over a configurable task space. Use it when you want a coordinator to spawn parallel workers, score results, and iterate until convergence.

Team Swarm is cataloged under AI Engineering on DirSkills. Team Swarm comes from a repository tagged ai-agents, claude-code, cli, codex and gemini.

Documentation

README

Excerpt

<required_reading> @~/.maestro/workflows/run-mode-lite.md </required_reading>

Team Swarm

Orchestrate ant-colony-style exploration over a user-defined task space. Hybrid coordinator: LLM handles task translation + worker spawning; Python script owns all numeric decisions (selection / pheromone update / convergence). Universal — task space and scoring rule come from swarm-config.json.

Architecture

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Team Swarm

What else does catlog22 publish alongside Team Swarm?
Team Swarm is one of 25 skills that DirSkills catalogs from catlog22/maestro-flow, the repository it ships in. Its siblings there include Maestro Companion, Maestro Fork and Maestro Guard. Each one is a separate skill with its own page in this directory, installs the same way Team Swarm does, and is maintained by catlog22 in that same repository. The rest of the collection is listed on the catlog22/maestro-flow page.
How does Team Swarm compare to other AI Engineering skills?
Team Swarm ranks #2098 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Team Swarm against them. Open each page to compare what they document and how they install.