multi-perspective-attack
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/multi-perspective-attackA structured approach to attacking a decision from multiple distinct viewpoints simultaneously. Each perspective brings different values, concerns, and failure modes — ensuring blind spots from any single viewpoint are exposed.
SKILL.md
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--- name: multi-perspective-attack description: Assign distinct perspectives to attack a decision from multiple angles, then synthesize findings into a unified assessment. execution: tactic used-by: steel-manning --- # Multi-Perspective Attack A structured approach to attacking a decision from multiple distinct viewpoints simultaneously. Each perspective brings different values, concerns, and failure modes — ensuring blind spots from any single viewpoint are exposed. ## Stages 1. **Perspective Assignment** — Define distinct perspectives with their values, concerns, and evaluation criteria 2. **Perspective Attack** — Each perspective independently attacks the decision and proposes alternatives 3. **Steel-Manning Synthesis** — Synthesize all attacks into a unified assessment with final verdict ## Available SOPs | SOP | Phase | Purpose | |-----|-------|---------| | perspective-assignment | Assign | Define perspective briefs | | perspective-attack | Attack | Execute attack from each perspective | | steel-manning-synthesis | Synthesize | Unify findings into verdict | ## Execution Guidance - Minimum 3 distinct perspectives (more for high-stakes decisions) - Perspectives must be genuinely different (not variations of same viewpoint) - Each perspective attacks independently before synthesis - Synthesis must address every attack, not just convenient ones - Final verdict must account for all perspectives, with explicit trade-off reasoning ## Minimum Yield - >= 3 perspective briefs with distinct values and concerns - Independent attack from each perspective with constructive alternatives - Synthesis across all attacks - Final verdict (ACCEPT/REJECT/REVISE) with surviving concerns - Recommended modifications addressing highest-severity cross-perspective concerns