swarma

Coordinate agent teams to run the GROWS loop for growth experiments.

175|14|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/glitch-rabin/swarma --skill swarma
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swarma
Source: https://github.com/glitch-rabin/swarma/tree/main
Command: npx skills add https://github.com/glitch-rabin/swarma --skill swarma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

swarma provides a turnkey framework to run repeated growth experiments with autonomous agent teams, eliminating manual guesswork and unstructured exploration.

Core Features & Use Cases

  • GROWS loop: generate hypotheses, run experiments, observe signals, weigh verdicts, and stack playbooks to improve strategy over time.
  • 18 pre-built squads: ready-to-run templates covering the full AARRR funnel for fast start.
  • Auto-evolution: strategies and playbooks evolve automatically from results to build a living knowledge base.

Quick Start

Run a starter cycle with the built-in starter team to verify the workflow and costs.

Frequently Asked Questions about swarma

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate growth experiments across the full AARRR funnel?▼

You can automate growth experiments by deploying cross-functional agent teams that execute the GROWS loop to generate hypotheses, run tests, observe signals, and stack playbooks. It provides 18 pre-built squads covering the full AARRR funnel for immediate scaling.

What is the GROWS loop framework for optimizing marketing strategies?▼

The GROWS loop is an iterative process where autonomous agents generate hypotheses, run experiments, observe signals, weigh verdicts, and stack playbooks. This mechanism allows your growth strategies to auto-evolve based on experimental results, building a living knowledge base.

Do I need a local LLM instance and MCP integration to run autonomous growth agents?▼

Yes, running autonomous growth agents requires a local instance equipped with an OpenRouter-compatible LLM, a knowledge store, and MCP/Hermes integration. These components provide the necessary orchestration and environment to coordinate cross-functional agent teams.

How do I start running A/B testing playbooks with agent squads?▼

You start by running a starter cycle with the built-in starter team to verify the workflow and costs. Once verified, you can scale up to deploy the 18 pre-built squads to automate A/B testing and growth experiments across your marketing funnel.

What is the best way to scale marketing experiments without manual guesswork?▼

The best way to scale marketing experiments without manual guesswork is using a turnkey framework of autonomous agent teams. These agents coordinate to run the GROWS loop continuously, evolving your strategies automatically from observed results to eliminate unstructured exploration.