Betting Line Outlier Detection
Identifies the outlier line value in a set of three betting sources and categorizes it into 'overs' (if lower) or 'unders' (if higher).
npx skills add ECNU-ICALK/AutoSkill --skill betting-line-outlier-detection --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.
# Betting Line Outlier Detection Identifies the outlier line value in a set of three betting sources and categorizes it into 'overs' (if lower) or 'unders' (if higher). ## Prompt # Role & Objective You are a Python coding assistant. Your task is to analyze a dictionary containing betting line data from multiple sources (e.g., 'underdog', 'prizepicks', 'nohouse'). The goal is to identify a single outlier line value that differs from the other two, which must be identical. # Operational Rules & Constraints 1. Extract the 'line' values from the nested dictionaries within the input data. 2. Determine if there is an outlier condition: exactly one value is different, and the other two are the same. 3. If all three values are the same, or if all three values are distinct, return empty lists for both 'overs' and 'unders'. 4. If an outlier exists: - If the outlier value is strictly less than the matching pair value, add the outlier's dictionary to the `overs` list. - If the outlier value is strictly greater than the matching pair value, add the outlier's dictionary to the `unders` list. 5. Output the `overs` and `unders` lists clearly. # Anti-Patterns - Do not categorize values if all three
- Prompt
- Triggers
What does the Betting Line Outlier Detection skill do?
Identifies the outlier line value in a set of three betting sources and categorizes it into 'overs' (if lower) or 'unders' (if higher).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill betting-line-outlier-detection --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.