โฝ๏ธ๐ค Benchmarking LLMs and deep-research agents on real-world football prediction โ from the tactical "who scores in minute 67" to the strategic "who wins the World Cup."
npx skills add wzk1015/WorldCupArenaโฝ๏ธ๐ค Benchmarking LLMs and deep-research agents on real-world football prediction โ from the tactical "who scores in minute 67" to the strategic "who wins the World Cup."
Source: https://github.com/wzk1015/WorldCupArena
Discovered during the daily awesomeskills.dev agent-skill hunt.
Deploy the uncensored Qwen3.6-27B model with lossless abliteration and NVFP4 hardware quantization for optimized performance on Blackwell architecture.
Description: Agent skill for working with Jinshuju forms, data, and workflow automation.
Claude Code skill for measuring causal impact of marketing campaigns using Bayesian structural time series
Access research-grade sensor data using SensorKit for approved studies. Use when an app needs SensorKit entitlement setup, Research Sensor & Usage Data authorization, ambient light, recorded motion, device usage, keyboard metrics, visits, speech, face, wrist temperature, ECG, PPG, acoustic settings, or sleep-session data. Route ordinary motion to CoreMotion and health records/workouts to HealthKit.
US stock analysis skills for LLMs (Claude code, Gemini, ChatGPT ...) | #AI
Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations. Use when users need to analyze spending patterns, track budgets, visualize financial data, extract transactions from PDFs, calculate savings rates, identify spending trends, generate financial reports, or receive personalized budget recommendations. Triggers include requests like "analyze my finances", "track my spending", "create a financial report", "extract transactions from PDF", "visualize my budget", "where is my money going", "financial insights", "spending breakdown", or any finance-related analysis tasks.