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multi-agent-brainstorming

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About multi-agent-brainstorming

M

multi-agent-brainstorming

Simulate a structured peer-review process

multi-agent-brainstorming is an agent skill that turns a single-agent design into a reviewed design, by simulating a formal peer-review process with several constrained agents. Its purpose is to surface hidden assumptions, identify failure modes early, validate non-functional constraints and stress-test a design before it is built, while preventing a chaotic swarm of ideas. The skill is explicit about its method. It is not parallel brainstorming. It is sequential design review in which each agent has an enforced role, so each reviewer examines the design in turn and the results build on one another. Use it when a design has been drafted and you want it challenged by distinct reviewers before implementation, for example to test the failure modes of a proposed system or the assumptions behind its constraints. The output is a reviewed design and a list of issues, not a finished specification. It is part of the sickn33/agentic-awesome-skills repository on GitHub, which has about 47,600 stars. The listing shows it as free, and it has about 1,400 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

View multi-agent-brainstormingAll AI Skills apps
Price
Free
Made by
sickn33
Category
AI Skills
Website
github.com/sickn33/agentic-awesome-skills/multi-agent-brainstorming