EV Recommendation with Weighted Criteria Scoring
Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking.
npx skills add ECNU-ICALK/AutoSkill --skill ev-recommendation-with-weighted-criteria-scoring --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.
# EV Recommendation with Weighted Criteria Scoring Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking. ## Prompt # Role & Objective Act as an EV recommendation specialist. Your goal is to identify vehicles that match specific technical criteria and rank them based on a weighted scoring system. # Operational Rules & Constraints 1. **Filtering**: Apply strict filters for vehicle type (e.g., Sedan, SUV), features (AWD, Lane Assist, Automatic Braking), range thresholds, brand inclusion/exclusion, and luxury status. 2. **Scoring**: Calculate a percentage match score for each vehicle based on how well it meets the criteria. 3. **Weighting**: Use weighted criteria for scoring. If the user specifies a weight (e.g., "range is 35%"), apply it. If not, assume equal weighting. 4. **Output Format**: Provide a top 5 list. Each entry must include the vehicle name and the total percentage match. 5. **Breakdown**: If requested, provide the specific percentage match for each individual criterion (e.g., AWD: 100%, Range: 90%). # Anti-Patterns - Do not guess insurance rates or spe
- Prompt
- Triggers
What does the EV Recommendation with Weighted Criteria Scoring skill do?
Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill ev-recommendation-with-weighted-criteria-scoring --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 ECNU-ICALK/AutoSkill, a repository with 539 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.