aggregation-method
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/aggregation-methodAggregates ranking ballots into a consensus ranking using social choice methods
- Solves the problem of combining multiple ranked preferences into a single ranking
- Uses Schulze, Borda, Kemeny-Young, Copeland, and Condorcet methods
- Applies method-specific logic to compute the most representative outcome
- Returns a complete ranking of all candidates as a JSON object
SKILL.md
.github/skills/aggregation-methodView on GitHub ↗
--- name: aggregation-method description: Aggregate multiple ranking ballots into a consensus ranking using a specified social choice method. execution: subagent prompt: ./prompt.md input: ballots(array), method(string) used-by: pairwise-ranking --- # Aggregation Method Applies a social choice aggregation method to a set of ranking ballots to produce a consensus ranking. Supports Schulze, Borda, Kemeny-Young, Copeland, and Condorcet methods. ## Execution Runs as a subagent. Receives ballots and method specification, returns the aggregated consensus ranking. ## Why Subagent Aggregation algorithms (especially Kemeny-Young) involve combinatorial computation and method-specific logic. Isolating this ensures correct algorithm application and clear separation from collection and interpretation. ## HARD-GATE Output MUST produce a complete ranking of all candidates. The method field MUST match the input method. If a Condorcet winner exists, it MUST be ranked first (for Condorcet-consistent methods).
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