Backend & API Hardening
Procedural memory for diagnosing and fixing recurring performance, security, and error-handling issues in backend services and APIs.
Resources
Books and materials I recommend for people working with applied AI.
Skills
Reusable components and playbooks for taking applied AI to production.
Mac Developer Cleanup
A safe workflow for identifying and removing regenerable developer artifacts on macOS, always inspecting sizes and requesting confirmation before deletion.
MCP Security Hardening
Procedural memory for designing, reviewing, and hardening MCP servers with least privilege per tool, contract validation, and safe agent-facing responses.
LGPD Engineering
A single skill for translating LGPD into engineering controls: data mapping, minimization, consent, data-subject rights, retention, vendors, and incident response.
Ultra Writing
A clear, concise, reflective writing framework for technical texts, articles, messages, and social posts, with tone calibrated to purpose and audience.
Books
Engenharia de IA: Construindo aplicações com modelos de fundação
The most practical book I've read on taking AI to production. It covers evaluation, RAG, fine-tuning, and deployment without academic fluff — exactly the bridge between paper and product. Essential for anyone leaving the notebook for the real world.
View on Amazon →Projetando sistemas de machine learning
The reference for thinking of ML as a system, not an isolated model. Data pipelines, monitoring, feature stores, and the architecture decisions no course teaches. A must-read before putting any model into production.
View on Amazon →
Discuss the skills
Use this public space for questions, adaptations, and requests for new skills. Structured feedback remains available after download.