“best-practices”
Documentation Best Practices for AI Codebases: Beyond the Docstring
Explore modern documentation strategies for AI-driven projects, including prompt versioning, llms.txt, model dependency tracking, and agentic architecture diagrams.
Agent Skill Design Best Practices
Learn how to design effective, maintainable, and scalable AI agent skills with these industry best practices and common anti-patterns to avoid.
Creating Effective File-Based Skills
A comprehensive guide on creating file-based skills for AI agents, covering the structure of SKILL.md and best practices for writing custom scripts.
Advanced Agent Skill Patterns for Pydantic AI
A deep dive into advanced design patterns for creating robust, scalable, and maintainable AI agent skills with Pydantic.
Mastering Agent Skills: Patterns and Best Practices for Robust AI
Go beyond basic security. Learn the design patterns and best practices—like idempotency, the Single Responsibility Principle, and versioning—that turn simple skills into robust, enterprise-grade components.
Unlocking Agent Skills: A Guide to Secure Implementation
Agent Skills are the building blocks of powerful AI, but they can also be a source of risk. Learn how to implement them securely using input schemas, user confirmation, and diligent auditing.
Securing AI Agents: Tackling the Trust Crisis in OpenClaw
Autonomous AI agents built with frameworks like OpenClaw are powerful, but they introduce a crisis of trust. Learn how to address the core security concerns of authorization, authenticity, and accountability.