prediction-tracking
Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.
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2,172 skills indexed with the new KISS metadata standard.
Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.
Operating model for tracking, attributing, and accelerating partner-sourced
R 语言常用方法
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Name | Type | Description | Notes
An characters can have skills, skill can be buff skill, nerf skill, attack skill or may mix all of them as you wish
| データベース| JSONファイル | 大域変数 | オブジェクト |
This is a modern Pakistani tax calculation application with:
globs:
- **Project**: The AI Orchestrator - AI-Augmented Full-Stack Engineering Bootcamp
This project uses a custom Logger class instead of `print()` and `debugPrint()` statements. The logger provides structured, categorized, and colorized logging with different levels and categories.
"model": "DeepCORO_CLIP",
file_location: root_directory
This is for a bootstrapped startup.
- Follow the user's requirements exactly.
- Never remove existing code that is not directly related to the current change scope
Clear project structure with separate directories for source code, tests, docs, and config.
- The application name is "LLM-2000"
- Write concise, technical TypeScript code with accurate examples.
STOP! Before writing ANY code or suggesting ANY changes:
Your approach emphasizes:
This is **Vibercode CLI** - a command-line tool for generating Go web APIs with clean architecture, built entirely in Go using Cobra CLI and native Go templates.
- 本项目 **只使用 Foundry**(forge/cast/anvil),**不用 Hardhat、Truffle**。
These rules describe how to work in this repo using Cursor: file layout, React Server Components boundaries, where actions/forms live, and UI/data patterns.