agents-best-practices

This Skill addresses the lack of standardized, reusable methodologies in Agent system design. In practice, developers often reinvent the wheel when tackling core issues like designing Agent loops, tool permissions, context compression, memory, and security, or face migration difficulties due to reliance on a specific vendor's SDK (e.g., OpenAI, Anthropic). This Skill provides a set of vendor-agnostic, general architectural principles and checklists to help teams build production-ready Agent systems from scratch.

Usage is straightforward: simply state your design intent clearly in your AI assistant (e.g., "I want to build a customer service Agent" or "Audit the reliability of an existing Agent"), then follow the step-by-step guidance using the provided MVP Builder mode or audit checklist. It will guide you through defining key dimensions such as domain, autonomy level, risk level, state persistence, tooling surface, and validation methods, and output corresponding architectural recommendations, loop workflows, tool design, permission policies, and more. You can adjust details via natural language instructions during the process, for example, "add an approval pause step" or "incorporate a context compression mechanism."

It is well-suited for teams and individuals needing to build or optimize Agent systems from the ground up. This is especially true for developers who have already used multiple AI models (e.g., GPT-4, Claude, OpenAI-compatible models) but seek a unified construction method, as well as for product managers and architects who need to deliver production-grade Agent solutions. For auditing existing Agents, it can quickly identify shortcomings in reliability, cost, latency, security, and other areas.

It is recommended to use this tool uniformly for blueprint design when starting a new Agent project or refactoring an existing one. Note that it primarily provides methodology and architectural design principles, not directly runnable code templates; actual development still requires implementation based on specific business logic and technology stack. Additionally, the Skill covers a broad scope, so it's advisable for first-time users to start with the MVP Builder mode and gradually familiarize themselves with each module.