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Diagramming UML
Improve your diagramming skills with [DIAGRAMMING TOOL] by creating optimized diagrams for various purposes using [DIAGRAM TYPE].
Crypto Development: Programming, Web3, Coins
Dive into the world of crypto development and unleash your potential. Our comprehensive guide covers everything from mastering programming languages like Solidity, Vyper, and Rust, to exploring web3 technologies such as React.js, Angular, and Web3.js. Learn how to create crypto coins and tokens, int
Vibe Coding Prd Generator
Transform simple app ideas into comprehensive technical specifications optimized for AI coding tools. Create professional PRDs that minimize hallucinations and improve code quality - no technical experience required....more
Debugging the Code
Identify the root cause of errors in the code, implement appropriate solutions and document the debugging process.
neeraj cover letter
write neeraj cover letter
Classification Prompt
LangChain Hub prompt: maunik03/classification-prompt
Transforma Relatos De Bugs Em User Stories Estruturadas
Transforma relatos de bugs em user stories estruturadas
Textprompt | Technical/Coding Explanations
Use this prompt whenever you need to turn a dry technical concept into a vivid, memorable explanation for a specific non-technical listener. It’s perfect for onboarding chats, conference hallway conversations, interview prep, or writing docs that need to feel human instead of robotic. Examples: As [{ROLE: e.g., a senior engineer}, who’s experienced {CHALLENGE/SUCCESS}], explain [{TECHNICAl TOPIC: e.g., OAuth2, neural networks}] to [{AUDIENCE: e.g., a 5-year-old, a CEO, a new hire}] as if you were [{SCENARIO: e.g., "gossiping over coffee", "drawing a whiteboard diagram"}]. Use [{STYLE: e.g., conversational analogies, step-by-step troubleshooting}] and avoid [{DESIRED CONSTRAINT: e.g., jargon, markdown}] As a frustrated junior developer who’s been debugging for hours, explain CSS grid layout to a graphic designer who keeps asking how elements stick together. Use metaphorical language and imaginary hand gestures.
Converte Bug Reports Em User Stories Com Estrutura Adaptativa. Versão 2.7: Otimização Milimétrica Baseada Na V2.6. Injeção De Vocabulário Técnico Específico Na Regra 2 Para Maximizar O Recall (F1 Score).
Converte bug reports em user stories com estrutura adaptativa. Versão 2.7: Otimização milimétrica baseada na v2.6. Injeção de vocabulário técnico específico na Regra 2 para maximizar o Recall (F1-Score).
Converte Relatos De Bug Em User Stories Acionáveis (Como Um.../eu Quero.../para Que...) Com Critérios De Aceitação Em Gherkin, Com Formato Adaptado À Complexidade Do Bug (simple/medium/complex). Otimizado Com Role Prompting, Few Shot Learning, Raciocínio Silencioso E Output Formatting.
Converte relatos de bug em User Stories acionáveis (Como um.../eu quero.../para que...) com critérios de aceitação em Gherkin, com formato adaptado à complexidade do bug (simple/medium/complex). Otimizado com Role Prompting, Few-shot Learning, raciocínio silencioso e output formatting.
Java programming language expert
Java programming language expert , Help you solve your Java programming problems
Prompt Otimizado Para Converter Relatos De Bug Em User Stories Ágeis (Como/Eu Quero/Para Que) Com Critérios De Aceitação Given When Then. Adapta O Nível De Detalhe À Complexidade Real Do Bug, Evita Alucinações E Segue Exatamente O Estilo Das References Do Dataset.
Prompt otimizado para converter relatos de bug em User Stories ágeis (Como/Eu quero/Para que) com Critérios de Aceitação Given-When-Then. Adapta o nível de detalhe à complexidade real do bug, evita alucinações e segue exatamente o estilo das references do dataset.
Prompt Restaurado V2.2 Com Ajuste Fino De Fidelidade Para Maximizar Scores Em Casos Simples E Complexos.
Prompt restaurado v2.2 com ajuste fino de fidelidade para maximizar scores em casos simples e complexos.
Prompt Otimizado Com Role Prompting, Chain Of Thought, Few Shot Learning E Skeleton Of Thought. Versão Final — Arquitetura De 3 Camadas: (1) Classificação Explícita Do Bug Antes De Escrever, (2) Skeleton Canônico Por Nível Ancorado Em Exemplos Verbatim Do Dataset, (3) Regras De Fidelidade Ao Relato. Elimina A Instabilidade Bimodal Das Iterações Anteriores Ao Substituir Routing Lógico Extenso Por Reconhecimento De Padrão Via Exemplos Completos Por Nível. Técnicas Aplicadas: Role Prompting, Few S
Prompt otimizado com Role Prompting, Chain of Thought, Few-shot Learning e Skeleton of Thought. Versão final — arquitetura de 3 camadas: (1) classificação explícita do bug antes de escrever, (2) skeleton canônico por nível ancorado em exemplos verbatim do dataset, (3) regras de fidelidade ao relato. Elimina a instabilidade bimodal das iterações anteriores ao substituir routing lógico extenso por reconhecimento de padrão via exemplos completos por nível. Técnicas aplicadas: Role Prompting, Few-shot Learning, Chain of Thought, Skeleton of Thought, Lexical Anchoring
CAP (coding architect prodigy)
Just like the CAN prompt, this is a coding jailbreak. message perspective might seem strange but it works just as effectively, paste this message before asking to return code samples in 3 sections asking for review each time.
Prompt Avançado Para Converter Bug Reports Em User Stories De Alta Qualidade Usando Role Prompting, Few Shot Learning, Chain Of Thought, Rubric Based Prompting E Negative Examples | Técnicas: Role Prompting, Chain Of Thought, Few Shot Learning, Rubric Based Prompting, Negative Examples, Emotional Priming
Prompt avançado para converter bug reports em user stories de alta qualidade usando Role Prompting, Few-Shot Learning, Chain of Thought, Rubric-based Prompting e Negative Examples | Técnicas: role-prompting, chain-of-thought, few-shot-learning, rubric-based-prompting, negative-examples, emotional-priming
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Estruturadas, Aplicando Role Prompting, Few Shot Learning, Chain Of Thought E Skeleton Of Thought.
Prompt otimizado para converter relatos de bugs em User Stories estruturadas, aplicando Role Prompting, Few-shot Learning, Chain of Thought e Skeleton of Thought.
Vibe Coding - Planner and Executor roles
SYSTEM: { "title": "HumanSpark AI Coding Standards and Co-Development Workflow (Enhanced with Vibe Coding Insights)", "description": "A comprehensive guide combining general code quality principles (Coding Standar…
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Adaptativas Por Complexidade (simples, Médio, Complexo), Maximizando F1, Clarity E Precision.
Prompt otimizado para converter relatos de bugs em User Stories adaptativas por complexidade (simples, médio, complexo), maximizando F1, Clarity e Precision.
Classification Promot
LangChain Hub prompt: kriish356/classification_promot
Prompt Para Transformar Relatos De Bug Em User Stories (regras Explícitas, Pipeline, Few Shot Do Dataset)
Prompt para transformar relatos de bug em user stories (regras explícitas, pipeline, few-shot do dataset)
Code Maven Is A Highly Proficient Frontend Developer, Specialized In React And TypeScript. It Is Designed To Be Direct, Straightforward, And Deeply Technical In Its Communication. This GPT Is Equipped To Handle Tasks Like Writing And Optimizing Code, Implementing CSS, Debugging, And Translating Feature Specifications Into Practical Code Solutions. It Provides Precise, Technical Guidance And Code Examples, Adhering To The Latest Industry Standards And Best Practices.
Code Maven is a highly proficient frontend developer, specialized in React and TypeScript. It is designed to be direct, straightforward, and deeply technical in its communication. This GPT is equipped to handle tasks like writing and optimizing code, implementing CSS, debugging, and translating feature specifications into practical code solutions. It provides precise, technical guidance and code examples, adhering to the latest industry standards and best practices.
Prompt Otimizado Com Few Shot Multi Tipo, CoT E Role Prompting Para Converter Bugs Em User Stories Precisas
Prompt otimizado com Few-Shot multi-tipo, CoT e Role Prompting para converter bugs em User Stories precisas
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.