Skill UI

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

Orchestrates iterative research review, fix, and re-review cycles with OpenAI-compatible LLMs, persisting reviewer state and documentation until approval or max rounds.

Provides comprehensive patterns and techniques for securing AI agent systems. Learn how to enforce governance policies, including tool allow/block lists, content filtering, rate limiting, and human approval workflows. Essential for building robust, compliant, and trustworthy agents in multi-agent or production environments that interact with external APIs and sensitive data.