convergence-distillation
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/convergence-distillationDrives consensus through iterative feedback rounds using structured techniques
- Solves tasks requiring group consensus from diverse expert opinions
- Uses judgment-collection and feedback-distr for anonymous input and iteration
- Measures agreement using consensus score and interquartile range thresholds
- Delivers stable results when consensus or stability criteria are met
SKILL.md
.github/skills/convergence-distillationView on GitHub ↗
--- name: convergence-distillation description: Iterative convergence to a single answer through Classic Delphi, Modified Delphi, or Nominal Group Technique rounds. used-by: structured-consensus --- # Convergence Distillation **Purpose:** Drive multiple independent perspectives toward a single shared answer through iterative anonymous feedback rounds. Each round narrows the distribution of judgments until consensus threshold is met or stability is reached. **When to use:** - Need a single definitive answer from diverse experts - Establishing guidelines, thresholds, or standards - Quantitative estimates requiring group calibration - Situations where social pressure would bias face-to-face discussion ## Budget | Parameter | Constraint | |-----------|-----------| | Rounds | 2–4 (stop at consensus or stability) | | Perspectives | ≥4 independent | | Consensus threshold | ≥70% agreement or IQR ≤ 1 | ## State Ledger | Key | Type | Description | |-----|------|-------------| | question | string | The focal question being converged | | perspectives | array | List of perspective descriptions | | rounds | array | History of all round results | | current_round | integer | Current round number | | consensus_score | float | Latest consensus measurement | | stability | boolean | Whether scores stopped changing | ## Available Tactics - **iterative-convergence-round** — Core loop: collect → feedback → revise → measure → decide ## Available SOPs - judgment-collection - feedback-distribution - consensus-measurement - round-decision - consensus-synthesis ## Execution Guidance 1. Frame the question clearly with response format (Likert, numeric, ranking) 2. Run iterative-convergence-round until round-decision returns "stop" 3. If max rounds reached without consensus, document dissent 4. Run consensus-synthesis to produce final report ## Output Format ```yaml consensus_reached: true/false final_answer: <aggregated result> consensus_score: <float> rounds_completed: <int> dissent_record: <items that did not converge> ```
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