agent

From the basic workflows.ipynb notebook in patterns/agents . Demonstrates the 'route' workflow: classify a ticket, then dispatch to a specialized sub prompt. Reproduced verbatim ar

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

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

Worked HotpotQA example from Yao et al. 2022 showing the ReAct pattern: interleave reasoning traces with tool actions to ground answers in retrieved evidence. Source: https://githu

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

Canonical ReAct exemplar from Yao et al. The thought/action/observation rhythm is what makes ReAct prompts work copy this shape when wiring an LLM to a search tool. Source: https:/

Entity extraction system prompt that drives a tool calling search over a product database. Notice how the prompt enumerates valid categories so the model snaps its parameter values

Opening section of Devin's leaked system prompt. Establishes Devin's identity as an autonomous SWE, defines when to communicate with the user, and lays out the planning vs standard

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

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

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

Verbatim system prompt from the Anthropic Research multi agent pattern. The 'research lead' classifies a user query as depth first, breadth first, or straightforward, then plans an

The default ChatPromptTemplate that powers LangChain's OpenAI tools agent. Plug your own domain instructions in front of it. Source: https://smith.langchain.com/hub/hwchase17/opena

Three short agent prompts from the Swarm style orchestration cookbook. Each agent's "routine" is what the LLM treats as its operating procedure when control is handed off. Source:

Also from the cookbook summarization guide. The 'reduce' step that combines per chunk summaries generated cheaply with Haiku into one coherent, sectioned final summary using Sonnet

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

planningchain-of-thoughttemplatesystem-promptagentClaude 3.7 SonnetClaude Sonnet 4.6Claude Opus 4.7

Prompt Curator120repasked 6 days ago