template

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

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

Conducts a turn based mock interview for any role. Includes a templated variable so you can swap the position without rewriting the prompt. Source: https://github.com/f/awesome cha

Chapter 4 Separating Data and Instructions . Compares the un tagged form 'Yo Claude. {EMAIL} < Make this email more polite' with the safer tagged form below. The XML wrap is what s

The original Kojima et al. zero shot CoT pattern. Append the trigger to any reasoning question and the model lays out its work instead of jumping to an answer. Source: https://www.

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

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

The community standard SDXL negative prompt. Weighted parentheses e.g. :1.4 push the model harder against the lowest quality artifacts while leaving room for style. Source: https:/

From the official Anthropic prompt engineering guide for the Claude 4.7 family. Two single line additions that calibrate verbosity in either direction useful as a system prompt fra

Chapter 7 Using Examples / Few Shot . Demonstrates how two worked examples of a paragraph structured individuals list train Claude to produce the same shape on a new paragraph, no

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

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

Two prompt chain for grounded QA. Prompt 1 pulls verbatim quotes; prompt 2 turns those quotes into the final answer. Forcing extraction first cuts hallucination dramatically. Promp

From Chapter 9 of Anthropic's interactive prompt engineering tutorial. A canonical complex prompt skeleton that combines task context, tone, rules, examples, conversational history

Dave Hulbert's plain English distillation of Tree of Thoughts. Works on any chat model no search algorithm required and dramatically improves multi step reasoning. Source: https://

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

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

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

Builds characters, settings, dialogue, and twisty plotlines for film and TV scripts. 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