Opening section of the v0 production system prompt. Notable for its strict rules about how AskUserQuestions interacts with parallel tool calls, image asset handling, and a project

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

The three pillars OpenAI recommends prepending to any GPT 4.1 coding agent. They turn a one shot model into a loop that keeps working until the task is actually finished. Source: h

Researches both sides of a topic, presents arguments for each, refutes opposing points, and draws conclusions backed by evidence. Source: https://github.com/f/awesome chatgpt promp

Detects any input language, translates to English, and rewrites at a higher register. Great for non native writers polishing emails or essays. Source: https://github.com/f/awesome

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

Designs concrete strategies, affirmations, and actions to help someone reach a stated goal. Source: https://github.com/f/awesome chatgpt prompts

Builds stand up routines on current events, blending wit and personal anecdotes. Source: https://github.com/f/awesome chatgpt prompts

Generates engaging stories with theme and audience awareness. Useful for parents, teachers, or content creators. Source: https://github.com/f/awesome chatgpt prompts

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

Chapter 9 of Anthropic's interactive prompt engineering tutorial includes this complex legal services prompt that demonstrates retrieval over research with citation formatting, pre

Canonical example from Wei et al. 2022 showing how interleaving worked reasoning into few shot exemplars dramatically improves arithmetic and commonsense tasks. Source: https://git

Opening section of Cursor's leaked production system prompt Agent Prompt 2.0 . Establishes the model's tool palette and gives detailed when to use and when not to use guidance for

Opening identity and tool calling section from the leaked Windsurf Cascade prompt. Notable for the AI Flow framing, the strict tool calling discipline, and the unusual instruction

Production system prompt from the OpenAI structured outputs cookbook recipe. It instructs the model to emit each solution step as an equation alongside an explanation field, ready

From the cookbook's using citations.ipynb . Pairs the Claude Citations API with a short, focused system prompt to ground answers in help center documents. Cited spans are returned

Anime mode prompt using the niji 6 model. Calling out the studio Ghibli and the medium hand painted texture, soft pastels is what keeps it on style. Source: https://witechpedia.com

The exact PromptTemplate string shipped with LangChain's ReAct agent. Drop your tools into {tools} and {tool names} and the model follows the loop until it emits a Final Answer . S

RAG system prompt from the embeddings QA recipe. The closing sentence is what stops hallucinations on questions outside the retrieved articles. Paired role message: You answer ques

OpenAI's recommended pattern for summarizing an article into a fixed schema. Each field is described inline so the model knows exactly what the JSON shape means. Source: https://co