oxbshw/LLM-Agents-Ecosystem-Handbook ? reverse-engineered prompt
Reverse engineered prompt
Build me a polished handbook project for learning and shipping LLM agents.
I want a clear, well organized repo that feels like a practical guide, not just notes. It should cover the full agent stack, like model providers, memory, skills, MCP, prompt design, safety, observability, evals, and deployment, with lots of examples and templates people can actually reuse. Include beginner friendly docs, a few runnable Python examples, and simple helper code for choosing a provider and routing requests with fallback support.
Make it easy for someone to start from zero and then grow into a production setup. Add checklists, design doc templates, and a few end to end blueprints for common agent setups. Keep the writing concise and useful, and make the structure obvious so readers can find what they need fast.
If you need to look up current docs online for provider or MCP details, do that. Focus on making the repo feel complete, practical, and ready for real use.
Are you gonna build this?
make sure you review the code using coderabbit