multi-perspective-panel

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Strategy: Multi-stakeholder review panel — diverse expert perspectives evaluate artifact simultaneously, then synthesize through structured deliberation.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: multi-perspective-panel description: 'Strategy: Multi-stakeholder review panel — diverse expert perspectives evaluate artifact simultaneously, then synthesize through structured deliberation.' type: strategy tactics:

  • perspective-rotation dependencies: tactics:
    • stress-test-perspective-rotation sops:
    • confidence-calibration
    • debate-architect
    • divergence-detection
    • perspective-critic

Multi-Perspective Panel Strategy

Diverse expert panel evaluates artifact from multiple stakeholder viewpoints.

Method

  1. debate-architect selects relevant perspectives based on artifact domain
  2. Each perspective-critic evaluates from assigned stakeholder viewpoint
  3. divergence-detection maps agreement/disagreement landscape
  4. Panel deliberation: agents respond to each other's concerns
  5. confidence-calibration determines if consensus reached or irreconcilable

Budget Table

Parameter S M L
Debate rounds 4 8 12
Participating agents 3 5 8
Coverage dimensions 3 5 7
External evidence searches 2 5 10

Orchestration

debate-architect → [select panel perspectives]
→ [parallel]: perspective-critic × N (independent evaluation)
→ divergence-detection (map landscape)
→ [deliberation rounds]:
    perspective-critic responds to disagreements
    → divergence-detection → confidence-calibration
→ debate-transcript-analysis → verdict-synthesis

Subagents

  • debate-architect (panel composition)
  • perspective-critic × N (stakeholder evaluation)
  • divergence-detection (agreement mapping)
  • confidence-calibration (consensus detection)

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic When to use
stress-test-perspective-rotation Tactic: Sequential perspective evaluation with divergence aggregation. Each agent evaluates from a distinct viewpoint, then disagreements are surfaced and resolved.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
confidence-calibration Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence.
debate-architect Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters.
divergence-detection Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.
perspective-critic Evaluates artifact from a specific assigned perspective. Produces assessment grounded in that viewpoint's values, priorities, and expertise.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill multi-perspective-panel
Repository Details
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