structured-consensus
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/structured-consensusConverge multiple perspectives into shared agreement using structured dialogue methods
- Solve complex group decision-making and consensus-building challenges
- Uses Delphi, NGT, RAND/UCLA, and Consensus Conference protocols
- Iteratively refines input through rounds of structured feedback and analysis
- Produces agreed-upon outcomes while preserving valid dissent
SKILL.md
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--- name: structured-consensus description: Structured Consensus Campaign — converge multiple perspectives into shared agreement through iterative structured dialogue using Delphi variants, NGT, RAND/UCLA, Consensus Conference methods. execution: campaign used-by: convergence --- # Structured Consensus Converge multiple independent perspectives into shared agreement through iterative structured dialogue. This campaign orchestrates Delphi variants, Nominal Group Technique, RAND/UCLA Appropriateness Method, and Consensus Conference protocols to systematically reduce disagreement while preserving legitimate dissent. ## Strategy Routing | Signal | Strategy | |--------|----------| | Iterative convergence to single answer / establish guidelines / determine threshold | convergence-distillation | | Map disagreement structure / wicked problems / value conflicts | disagreement-cartography | | Aggregate probability judgments / technology timeline / market forecast | futures-calibration | | Establish acceptability standards / medical guidelines / regulatory standards | appropriateness-bounding | | Distill strongest arguments / policy deliberation / interdisciplinary dispute | argument-crystallization | ## Manifest ### Strategies | Strategy | Method Family | Purpose | |----------|--------------|---------| | convergence-distillation | Classic Delphi, Modified Delphi, NGT | Iterative convergence to single answer | | disagreement-cartography | Policy Delphi, Argument Delphi, SAST | Map disagreement structure | | futures-calibration | Real-Time Delphi, Prediction Markets | Aggregate probability judgments | | appropriateness-bounding | RAND/UCLA Appropriateness, Consensus Conference | Establish acceptability standards | | argument-crystallization | Argument Delphi, Dialectical Delphi | Distill strongest arguments | ### Tactics | Tactic | Purpose | SOPs | |--------|---------|------| | iterative-convergence-round | Collect → feedback → revise → check → decide | judgment-collection, feedback-distribution, consensus-measurement, round-decision | | disagreement-mapping | Collect → cluster → extract arguments → visualize | judgment-collection, cluster-analysis, argument-extraction, disagreement-visualization | | threshold-calibration | Adjust thresholds → observe consensus changes | threshold-sweep, consensus-classification, consensus-measurement | ### SOPs | SOP | Input | Output | |-----|-------|--------| | judgment-collection | question, perspectives[] | judgments[] | | feedback-distribution | judgments[], round_n | feedback_report | | consensus-measurement | judgments[] | consensus_score, method_used | | round-decision | consensus_score, round_n, stability | continue/stop | | cluster-analysis | judgments[] | clusters[], cluster_characterization[] | | argument-extraction | cluster, judgments[] | arguments[] | | disagreement-visualization | clusters[], arguments[] | disagreement_map | | threshold-sweep | judgments[], threshold_range | threshold_curve | | consensus-classification | judgments[], threshold | consensus_items[], dissensus_items[] | | consensus-synthesis | rounds_history, final_judgments | consensus_report | ## Budget Table (M Tier) | Parameter | Constraint | |-----------|-----------| | Perspectives/experts | >=4 independent perspectives | | Iteration rounds | 2-4 rounds (until consensus threshold or stability) | | Consensus threshold | >=70% agreement or IQR <= 1 | | Dissent documentation | All non-consensus items must document reasons | ## MCP Tools - `mcp__semantic-scholar__relevanceSearch` — find methodological references - `mcp__wiki-vault__vault_search` — retrieve prior consensus results from vault ## Context Management - Each round's judgments are stored in state and passed forward - Feedback reports summarize prior round without exposing individual identities - Final synthesis aggregates all rounds into a single consensus report - Non-consensus items are explicitly documented with dissent rationale
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