Coordinate multi-agent investigations to identify cross-layer tensions and contradictions.
npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill robot-talks
Please help me install this Agent Skill. Skill: robot-talks Source: https://github.com/cyberAlchemyAI/Arcanum/tree/main/.claude/skills/robot-talks Command: npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill robot-talks
Robot-Talks provides a governed, cross-layer investigation workflow that coordinates multiple agents to identify tensions and contradictions before any implementation work begins.
Define a central question, assign 3-5 agents with distinct concerns, collect independent findings, synthesize tensions, and apply a human gate.
High-intent search queries and answers about installing and using this skill.
A cross-layer investigation coordinates multiple agents to independently explore a defined central question, then synthesizes findings into a structured tensions inventory across system layers. This process requires a four-phase workflow with a human gate for informed decision-making.
You need a multi-agent audit when understanding the system shape across layers is more expensive than a structured audit. It is used to surface evidentiary contradictions and cross-layer tensions that require independent perspectives before any implementation work begins.
The workflow for orchestrating independent agents involves a four-phase process: Setup, Exploration, Synthesis, and a Human gate. You define a central question, assign 3-5 agents with distinct concerns, collect findings, synthesize tensions, and apply a human gate before action.
Yes, you can use this multi-agent investigation approach for evidence synthesis. It preserves session data and produces a structured tensions inventory across layers, enabling safer handoffs and informed decision gates during complex architecture reviews.
A governed human-gate workflow requires a defined central question and distinct agent roles to function effectively. It is not a rapid execution tool; it is designed for scenarios where identifying evidentiary contradictions and cross-layer tensions is necessary before any implementation work begins.
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