by am-will · Claude Skill · ★ 158
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Swarms Multi-agent orchestration for Claude Code and Codex. Plan with explicit dependencies, execute in parallel waves, with an orchestrator that maintains context and verifies work. The Problem with Simple Loops A popular pattern for AI coding agents is the bash loop: spawn an agent, have it find the next task, execute it, repeat. It mirrors how humans work, logical and straightforward. But LLMs aren't humans. Each new agent session starts fresh. It has to: Re-read the same prompt as every previous iteration Discover the current project state through exploration Figure out what comes next by inspecting previous work Hope the last agent didn't cut corners There's no continuity. No one checking work. No context passed between agents. Each iteration burns tokens re-discovering what the orchestrator already knows. A Different Approach Swarms takes lessons from simple loops and more complex multi-agent systems, packaging them into something effective and beginner-friendly. The key insight: an orchestrator that plans the work should also coordinate the execution. It already has the complete picture: codebase research, documentation, clarified requirements, a reviewed plan.
| Stars | 158 |
| Forks | 8 |
| Language | Shell |
| Category | Claude Skill |
| Quality Score | 30.25/100 |
| Last Updated | 2026-04-18 |
| Created | 2026-02-02 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~6k |
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swarms is Multi-agent orchestration skills for Claude Code and Codex. It is categorized as a Claude Skill with 158 GitHub stars.
swarms is primarily written in Shell.
You can find installation instructions and usage details in the swarms GitHub repository at github.com/am-will/swarms. The project has 158 stars and 8 forks, indicating an active community.
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