agentleFS
yogsoth-aiyogsoth-ai/convergence/skills/aggregation-method/SKILL.md

aggregation-method

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

Aggregate multiple ranking ballots into a consensus ranking using a specified social choice method.

The file

Files
SKILL.md

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).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.