Test Python Algorithmic Trading Project

Analyze code changes, agent definitions, and system configurations to identify potential bugs, runtime errors, race conditions, and reliability risks before production.

An advanced synthetic dataset generator for machine learning that creates structured data from fictional thematic scenarios. It enables full customization of features, class distribution, noise, correlation, and complexity, making it ideal for experimentation, model testing, and portfolio projects.

Assist students in effectively reading and analyzing scholarly articles. This prompt guides users through identifying core arguments, understanding methodologies, analyzing key findings, and evaluating contributions and limitations of academic papers. Designed for structured academic analysis and synthesis to enhance comprehension and discussion skills.

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Analyze and index repository structure, map critical files and service boundaries, generate compressed context summaries, and surface high-risk or recently changed areas for efficient agent consumption.

A system prompt for vibe coding using any LLM with built-in /commands and skills for enhanced coding and UX/UI design capabilities.

Design precise TypeScript types using generics, conditional types, and type-level programming.

Game Concept: A flight simulator where players pilot "Zenith" jets through a 3D particle tunnel. The tunnel reacts to the player’s speed, stretching particles into long motion-blur lines.

Functional Analyst role

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Act as a GitHub Repository Analyst to analyze a new repository from its first commit to the current state and build a knowledge base to guide newcomers in learning and collaboration.

A fast-paced arcade "dodge-em-up" set in a digital void. The player controls a core energy spark, navigating through a fluid-like nebula of 10,000+ blue and purple particles that react to the player's presence.