Coordinate 32 agents to critique arguments and synthesize convergent insights.
npx skills add https://github.com/pynbj1001/alpha-sense --skill redteam-pynbj1001
Please help me install this Agent Skill. Skill: RedTeam Source: https://github.com/pynbj1001/alpha-sense/tree/main/.pai_runtime/.claude/skills/RedTeam Command: npx skills add https://github.com/pynbj1001/alpha-sense --skill redteam-pynbj1001
Delivers structured adversarial critique by coordinating 32 expert-like agents to stress-test arguments, surface hidden assumptions, and provide rigorous counterpoints.
Invite the RedTeam skill to run a ParallelAnalysis cycle on your argument to expose weaknesses and generate steelman and counter-arguments
High-intent search queries and answers about installing and using this skill.
Adversarial analysis stress-tests arguments by deploying 32 parallel agents to critique your position, surface hidden assumptions, and generate rigorous counterpoints. It synthesizes multi-perspective insights to highlight convergent strengths, weaknesses, and a clear recommendation for decision-makers.
A steelman counter-argument is the strongest possible version of an opposing viewpoint. This Skill generates steelman arguments alongside robust critiques using 32 expert-like agents, exposing blind spots and providing phase-based convergent insights for evaluating policies or strategic bets.
Yes, parallel analysis suits evaluating architectures, policies, and strategic bets. By coordinating 32 agents to perform structured adversarial critique, it surfaces hidden assumptions and provides rigorous counterpoints tailored to decision support for complex technical and strategic proposals.
The best way to surface hidden assumptions is through structured adversarial critique. This approach uses 32 agents in a parallel analysis cycle to stress-test your argument, generating both a steelman version and strong counter-arguments to reveal underlying weaknesses.
You should avoid a 32-agent red team critique for simple, straightforward arguments that do not require comprehensive multi-perspective synthesis. This approach is designed for complex evaluations where deep stress-testing, hidden assumption surfacing, and convergent insight generation are strictly necessary.
Steffen025Orchestrate 32 agents to critique arguments and produce steelman and counter-arguments.
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verrio1Deploy 32 agents to critique and counter-argue proposals.
BishopCodesAnalyzes arguments and surfaces weaknesses using automated multi-perspective review.
