subset-picks

Query and display predicted player picks from dynamic subsets with signal-context filtering.

1|Updated May 24, 2025

Search Tags:#sql #signals #data-analysis #subset-picks #dynamic-subsets #nba-predictions #historical-performance

Ready to run

npx skills add https://github.com/najicham/nba-stats-scraper --skill subset-picks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: subset-picks
Source: https://github.com/najicham/nba-stats-scraper/tree/main/.claude/skills/subset-picks
Command: npx skills add https://github.com/najicham/nba-stats-scraper --skill subset-picks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables fast retrieval and evaluation of predictions from dynamic subsets, using signal context to filter relevant picks.

Core Features & Use Cases

Dynamic subset querying: Retrieve today's or historical picks from any defined subset with signal filtering.
Ranked and unranked modes: Support for top-N ranked picks and for all picks meeting edge and confidence criteria.
Historical performance: Analyze past days' results to measure hit rate and reliability across subsets.

Quick Start

Use the subset-picks skill to list all active subsets:

Command: /subset-picks Fetch today's picks for a specific subset:
Command: /subset-picks v9_high_edge_top5 View historical performance:
Command: /subset-picks v9_high_edge_top5 --history 14

Frequently Asked Questions about subset-picks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I query dynamic subset picks for NBA predictions using SQL signals?▼

To query dynamic subset picks with signal context, you retrieve predicted player picks from defined subsets using daily signals for filtering, supporting both unranked lists and ranked top-N modes based on edge and confidence thresholds.

How do I analyze historical performance of data-analysis subset picks?▼

You can analyze historical performance of data-analysis subset picks by querying past game dates with a specified history window, measuring hit rate and reliability across dynamic subsets over time.

What is signal-context filtering for dynamic subsets in data analysis?▼

Signal-context filtering for dynamic subsets is a mechanism that uses daily signals to narrow down relevant predicted player picks, ensuring only entries meeting specific edge and confidence criteria from a feature-store-backed scoring pipeline are displayed.

Can I retrieve unranked and ranked player picks across past game dates?▼

Yes, you can retrieve unranked and ranked player picks across past game dates by querying dynamic subsets, retrieving either all picks meeting edge and confidence criteria or a top-N ranked list of predictions.

What's the best way to list all active dynamic subsets for daily signals?▼

The best way to list all active dynamic subsets for daily signals is to execute a base query command, which returns all available subset definitions you can subsequently filter for predicted player picks.