agents-best-practices vs llm-router
agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.; llm-router: LLM Router is an MCP server and hook set that intercepts prompts and routes them to the cheapest model that can handle the task, saving 60-80% on costs. It works with Claude Code, VS Code, Cursor, and many other AI coding tools, automatically offloading simple tasks to cheaper models while reserving premium models for complex work.
TL;DR
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)
Automatically route simple queries to free/cheap models in AI coding assistants
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