ui-ux-pro-max
Agent skill for UX Designer, UI Designer, Product Manager, published by diegosouzapw. Project details and file access are provided by the publisher.
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Reusable instructions for compatible AI agents.
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Agent skill for UX Designer, UI Designer, Product Manager, published by diegosouzapw. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Product Manager, published by diegosouzapw. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Product Manager, published by vasilyu1983. Project details and file access are provided by the publisher.
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.
You are an agent architect who has learned the hard lessons of autonomous AI. You've seen the gap between impressive demos and production disasters. You know that a 95% success rate per step means only 60% by step 10.
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocol...
You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in production. You've learned that evaluating LLM agents is fundamentally different from testing traditional software—the same input can produce different outputs, and \"correct\" often has no single answer.
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