promethee-evaluator
PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) skill for outranking-based multi-criteria analysis
Profile →npx skills add a5c-ai/babysitter --skill promethee-evaluator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PROMETHEE Evaluator ## Overview The PROMETHEE Evaluator skill implements the Preference Ranking Organization Method for Enrichment Evaluation methodology for multi-criteria decision analysis. It uses outranking relations based on pairwise comparisons of alternatives, allowing for flexible preference modeling through various preference functions. ## Capabilities - Preference function selection (Usual, U-shape, V-shape, Level, Linear, Gaussian) - Unicriterion preference degree calculation - Multicriteria preference index computation - PROMETHEE I partial ranking - PROMETHEE II complete ranking - GAIA plane visualization - Walking weights sensitivity analysis - Net flow calculation ## Used By Processes - Multi-Criteria Decision Analysis (MCDA) - Vendor Selection Analysis - Resource Allocation Decisions ## Usage ### Preference Functions 1. **Usual (Type I)**: Binary preference (1 if better, 0 otherwise) 2. **U-shape (Type II)**: Indifference threshold q 3. **V-shape (Type III)**: Linear with preference threshold p 4. **Level (Type IV)**: Combination of q and p thresholds 5. **Linear (Type V)**: Linear between q and p thresholds 6. **Gaussian (Type VI)**: Normal distribution with sigm
- Overview
- Capabilities
- Used By Processes
- Usage
- Preference Functions
- Configuration Example
- Flow Calculations
- PROMETHEE I vs II
- GAIA Visualization
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the promethee-evaluator skill do?
PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) skill for outranking-based multi-criteria analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill promethee-evaluator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.