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Sell a Prompt172 results for “validation”
A Structured Prompt For LangChain Workflows That Analyzes Digital Advertising Markets. It Ranks The Top 20 Industry Verticals By Ad Spend, Identifies Fast Growing Sub Niches, And Computes Metrics Like CPM, CPC, And CAC. It Integrates Validation Protocols, Multi Source Analysis, And JSON Formatted Outputs For Insights And Action Plans. Designed For Developers Using Python Or JavaScript To Enhance Market Research And Analytics Workflows.
A structured prompt for LangChain workflows that analyzes digital advertising markets. It ranks the top 20 industry verticals by ad spend, identifies fast-growing sub-niches, and computes metrics like CPM, CPC, and CAC. It integrates validation protocols, multi-source analysis, and JSON-formatted outputs for insights and action plans. Designed for developers using Python or JavaScript to enhance market research and analytics workflows.
Tarot Reading Deepaccurate Insight
Unlock deep tarot insights with this AI-powered reading prompt. Simply input your question and three drawn cards, and receive a detailed, intuitive interpretation. This structured reading covers symbolism, card interactions, and actionable advice. Perfect for personal guidance, tarot enthusiasts, or professional readers looking to enhance their services. Gain clarity and direction instantly with this powerful tarot tool....more
Transforma Relatos De Bugs Em User Stories Com Critérios De Aceitação.
Transforma relatos de bugs em User Stories com critérios de aceitação.
Reflecting Technique for Mental Health
An Empathy Circle, developed by Edwin Rutch, is a structured dialogue process promoting mutual understanding and empathy among participants. One person speaks, another actively listens and reflects back their understanding, until the speaker feels fully heard. Speaking in an Empathy Circle promotes validation, as the speaker's thoughts and emotions are mirrored back to them. It fosters increased self-awareness and offers emotional release. This process also enhances communication skills and facilitates problem-solving by providing new perspectives through the act of active, empathetic listening.
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
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
Mere Attempt At Making It What We Want In Term Of Interactivity And Output Types But I Need More Study To Get There....
Mere attempt at making it what we want in term of interactivity and output types but I need more study to get there....
Prompt Com Few Shot Learning (3 Exemplos) E Chain Of Thought Para Transformar Bug Reports Em User Stories Ágeis Adaptadas À Complexidade
Prompt com Few-shot Learning (3 exemplos) e Chain of Thought para transformar bug reports em user stories ágeis adaptadas à complexidade
Validate Market Demand Now
✨ "Discover the potential demand for your product before investing time and money. This prompt guides you through market research, competitor analysis, and customer feedback to validate your idea effectively. Start now and gain confidence in your next business move!" Avoid costly mistakes, save time, and ensure your idea 🌟 resonates with your target audience by taking the right steps first." 🚀 ✅ "Validate Your Market Demand Today!"...more
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.
Cross Validation
LangChain Hub prompt: pruebanasa/cross_validation
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Com Few Shot, Role Prompting E Chain Of Thought
Prompt otimizado para converter relatos de bugs em User Stories com Few-Shot, Role Prompting e Chain of Thought
Prompt Otimizado Para Converter Bug Reports Em User Stories Ágeis. Aplica Role Prompting (persona Product Owner Sênior), Few Shot Learning (3 Exemplos Cobrindo Simple/medium/complex), Chain Of Thought (5 Passos Internos De Raciocínio) E Skeleton Of Thought (output Complexity Aware Com 3 Templates).
Prompt otimizado para converter bug reports em user stories ágeis. Aplica Role Prompting (persona Product Owner Sênior), Few-shot Learning (3 exemplos cobrindo simple/medium/complex), Chain of Thought (5 passos internos de raciocínio) e Skeleton of Thought (output complexity-aware com 3 templates).
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Usando Few Shot, Role Prompting E Chain Of Thought.
Prompt otimizado para converter relatos de bugs em User Stories usando Few-shot, Role Prompting e Chain of Thought.
Prompt V9 Base V4 (melhor F1) + Email, IOS, Estoque E Sync Completo
Prompt v9 - base v4 (melhor F1) + email, iOS, estoque e sync completo
Research React
LangChain Hub prompt: riviaoferalt/research_react
Hybrid Bill Extraction V2
LangChain Hub prompt: avrio-pdf-parser/hybrid_bill_extraction_v2
Prompt Backend
LangChain Hub prompt: doc-prompt/prompt_backend
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.
Prompt Otimizado Com Chain Of Thought E 23 Exemplos De Treinamento Para Conversao De Bugs Em User Stories Agile
Prompt otimizado com Chain of Thought e 23 exemplos de treinamento para conversao de bugs em User Stories Agile
Tooluse Ecommerce
LangChain Hub prompt: emily-sentiment/tooluse-ecommerce
Research And Plan
LangChain Hub prompt: astrodog/research-and-plan
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.