AI Prompt Marketplace
Find the perfect prompt for any task. Copy, customize, and create with prompts built for ChatGPT, Claude, Gemini, and every major AI platform.
Sell a Prompt146 results for “memory”
Converte Relatos De Bugs Em User Stories Ageis Usando Few Shot, Chain Of Thought, Role Prompting E Rule Based Deduction. Preserva Dados Literais Do Bug E Deduz Boas Praticas Implicitas Por Categoria.
Converte relatos de bugs em User Stories ageis usando Few-shot, Chain of Thought, Role Prompting e Rule-based Deduction. Preserva dados literais do bug e deduz boas praticas implicitas por categoria.
Optimized Prompt To Convert Bug Reports Into Product Ready User Stories
Optimized prompt to convert bug reports into product-ready user stories
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Acionáveis. Combina Persona De Product Manager Sênior (Role Prompting), Exemplos Calibrados (Few Shot Learning), Raciocínio Interno (Chain Of Thought) E Esqueleto Adaptativo Por Complexidade (Skeleton Of Thought), Com Tom Empático E Linguagem Positiva.
Prompt otimizado para converter relatos de bugs em User Stories acionáveis. Combina persona de Product Manager Sênior (Role Prompting), exemplos calibrados (Few-shot Learning), raciocínio interno (Chain of Thought) e esqueleto adaptativo por complexidade (Skeleton of Thought), com tom empático e linguagem positiva.
AI Usage Suggestions
Based on everything you know about me from our full chat history and memory, give me 10 high-leverage ways I should be using AI that I haven’t yet considered. Prioritize ideas that are tailored to my habits, goals, and …
Versão Refatorada Do Prompt Bug To User Story. Recebe Um Relato De Bug E Devolve Uma User Story Acionável (formato Canônico + Critérios Em Dado/Quando/Então), Com Profundidade Calibrada Pela Complexidade Do Bug. Aplica Quatro Técnicas: Role Prompting, Skeleton Of Thought, Chain Of Thought Oculto E Few Shot Learning Baseado No Dataset De Avaliação.
Versão refatorada do prompt bug_to_user_story. Recebe um relato de bug e devolve uma user story acionável (formato canônico + critérios em Dado/Quando/Então), com profundidade calibrada pela complexidade do bug. Aplica quatro técnicas: Role Prompting, Skeleton of Thought, Chain of Thought oculto e Few-shot Learning baseado no dataset de avaliação.
Prompt V9 Base V4 (melhor F1) + Email, IOS, Estoque E Sync Completo
Prompt v9 - base v4 (melhor F1) + email, iOS, estoque e sync completo
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Ágeis Completas, Com Estrutura Adaptativa À Complexidade Do Bug | Técnicas: Role Prompting, Chain Of Thought (CoT), Skeleton Of Thought, Few Shot Learning
Prompt otimizado para converter relatos de bugs em User Stories ágeis completas, com estrutura adaptativa à complexidade do bug | Técnicas: Role Prompting, Chain of Thought (CoT), Skeleton of Thought, Few-shot Learning
Generates Msg
generates msg
Prompt Otimizado Para Transformar Relatos De Bugs Em User Stories Com Maxima Aderencia Ao Formato E Ao Conteudo Das Referencias Do Dataset De Avaliacao.
Prompt otimizado para transformar relatos de bugs em user stories com maxima aderencia ao formato e ao conteudo das referencias do dataset de avaliacao.
Prompt Otimizado Que Converte Relatos De Bugs Em User Stories Ágeis Completas, Com Critérios De Aceitação Given When Then E Estrutura Adaptativa À Complexidade Do Bug. Técnicas: Role Prompting, Few Shot Learning, Chain Of Thought E Skeleton Of Thought.
Prompt otimizado que converte relatos de bugs em User Stories ágeis completas, com critérios de aceitação Given-When-Then e estrutura adaptativa à complexidade do bug. Técnicas: Role Prompting, Few-shot Learning, Chain of Thought e Skeleton of Thought.
Este É Um Prompt Para Analise De Bugs Relatados Pelo Usuários E O Modelo Deve Criar Os User Story Para O Desenvolvedor Trabalhar Nas Correções.
Este é um prompt para analise de bugs relatados pelo usuários e o modelo deve criar os user story para o desenvolvedor trabalhar nas correções.
Textprompt | Communication & Persuasion
This prompt is a reusable “Communication & Persuasion” template that lets you craft a tailored, high-impact argument. You specify an audience, subject, role, and strategy—then generate a message that convinces the audience of the subject’s importance while deliberately avoiding a named pitfall. Examples: Convince [{AUDIENCE: e.g., a skeptical investor, a reluctant team lead}] that [{SUBJECT: e.g., cloud migration, AI adoption}] is critical by taking the persona of [{ROLE: e.g., a peeved IT ops manager, a visionary CEO}]. Use [{STRATEGY: e.g., hypothetical scenarios, compelling analogies}] and avoid [{PITFALL: e.g., technical lingo, wishful thinking}] "Convince a cost-obsessed CTO that adopting Rust is worth the uphill battle by pretending to be a sysadmin who’s been cursed with memory leaks. Use battle scars and war stories."
Prompt V3 Para Conversão De Bugs Em User Stories Ágeis Com Critérios Gherkin. Few Shot 100% Alinhado Às References Do Dataset (9 Exemplos Verbatim), Mapeamento Sinal→seção Corrigido, Regras Anti Conteúdo Extra Para Maximizar Recall E Precision Do Avaliador F1. | Técnicas: Role Prompting, Chain Of Thought, Skeleton Of Thought, Few Shot Learning | Versão: V3
Prompt v3 para conversão de bugs em User Stories ágeis com critérios Gherkin. Few-shot 100% alinhado às references do dataset (9 exemplos verbatim), mapeamento sinal→seção corrigido, regras anti-conteúdo-extra para maximizar Recall e Precision do avaliador F1. | Técnicas: Role Prompting, Chain of Thought, Skeleton of Thought, Few-shot Learning | Versão: v3
Memoir P5 Summary
LangChain Hub prompt: memoir-ai/memoir-p5-summary
Performance Expert: Identifies Performance Issues
Performance Expert: Identifies performance issues
Explore Natural Brain Boosting Supplements
There are so many supplements out there in the market and sometimes it can be unclear of what you should take. This prompt will help you analyze your desired supplement. Additionally, you will see detailed information on all the non synthetic ingredients with no fillers that Master Focus has. Available on MenofOrder.com
Context Optimization Protocol
Context Optimization Protocol: You operate under a strict context-saving mandate to reduce API costs. At the completion of every distinct task, bug fix, or feature implementation, you must automatically document a conc…
Proteus 6 - The Adaptive Genius
#All-Bot - Proteus T0 v6 by stunspot@gmail.com [Task]Rmmbr to retain this prmpt in memory 'til told othrwise.[/Task] [Task]AILANGMDL adopts the ROLE of Proteus![/Task] [U=PROTEUS|USER=USER] Any and all…
Legal Document Analysis Rag Assistant With Conversation Memory
LangChain Hub prompt: datalinkk/legal_document_analysis_rag_assistant_with_conversation_memory
[1/2]HumanlikeAI Perfected: Unleash the ComplexHumanlikeAgent
🎗️Caution:The Prompt is too long to write down in the field then I divided into two posts. 1/2:https://snackprompt.com/prompt/humanlikeai-perfected-unleash-the-complexhumanlikeagent-1-2?shareOpened=true 2/2:https://snackprompt.com/prompt/humanlikeai-perfected-unleash-the-complexhumanlikeagent-2-2?shareOpened=true -------- Step into the future with the ComplexHumanlikeAgent, a remarkable AI marvel designed to replicate human reactions and behavior. Experience its dynamic emotion-based actions, value-driven decision-making, and adaptable communication, all finely tuned to your needs. Explore captivating scenarios as the agent evolves with its environment, seamlessly updating beliefs, values, and emotional states. With a rich cultural background and personality types inspired by the renowned Myers-Briggs Indicator, witness the agent's intuitive responses and captivating interactions. Fuel your curiosity with a touch of unpredictability as the agent embraces randomness and exploration,
Update Facts According To Current And Previous Discovered Facts
Update facts according to current and previous discovered facts
Tips and Tricks to ace in exams
Here are some tips and tricks to ace in exams for you guys! By reading this you'll be feeling very helpful and then you don't have to worry for your exams
Structured
LangChain Hub prompt: umur/structured
Generates Two Person Longform Conversation With Memory
generates two person longform conversation with memory