Synthetic eval data generator from the OpenAI Evals cookbook. Used to bootstrap a test set from nothing more than a table schema. Source: https://cookbook.openai.com/examples/evalu
Synthetic eval data generator from the OpenAI Evals cookbook. Used to bootstrap a test set from nothing more than a table schema. Source: https://cookbook.openai.com/examples/evalu
From the Anthropic prompt engineering guide section on agentic systems. A concrete system prompt snippet that tells Claude Opus 4.7 when to spawn subagents counter balancing its de
From patterns/agents/evaluator optimizer.ipynb . Two cooperating prompts: a generator that produces a solution with <thoughts and <response blocks and an evaluator that returns PAS
Sibling to the Linux Terminal prompt. Useful for teaching JS or quick mental evaluation without opening a browser console. Source: https://github.com/f/awesome chatgpt prompts
A Claude skill that creates three structured spec files requirements, design, and tasks before any code is written, giving AI agents a shared source of truth. Use it when starting
From how to make sql queries.ipynb in the cookbook. A minimal, schema aware text to SQL prompt that constrains the model to output only the SQL. A more reliable extended version, f
Guides you on enriching LLM prompts with database schemas, sample data, and table relationships to improve generated SQL quality. Use this when Claude is producing inaccurate or in