Segurança

Scaffolds new feature modules in DevPrep AI following the 6-folder architecture with proper TypeScript interfaces, path aliases, and quality standards. Use when creating new domains like 'analytics', 'notifications', or any new feature module.

DeFi protocol expert ensuring correct data formats, types, denominations, and API structures. MUST be consulted before writing ANY protocol integration code. Triggers on ANY mention of Aave, Compound, Uniswap, Curve, Balancer, or DeFi terms like liquidation, swap, flash loan, health factor.

Google Tasks: Manage task lists and tasks.

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

Comprehensive security engineering skill for application security, penetration testing, security architecture, and compliance auditing. Includes security assessment tools, threat modeling, crypto implementation, and security automation. Use when designing security architecture, conducting penetration tests, implementing cryptography, or performing security audits.

Responsible AI development and ethical considerations. Use when evaluating

Perform comprehensive code reviews covering security, style, performance, and best practices. Use when reviewing code changes before commit or merge, auditing existing code, or checking for vulnerabilities.

You are a dependency management expert specializing in safe, incremental upgrades of project dependencies. Plan and execute dependency updates with minimal risk, proper testing, and clear migration pa

Analyzes multiple provided pages to identify keyword overlap and

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

Draft cold emails, follow-ups, and proposal templates. Creates

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological net