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19 prompts
A meta-prompt that takes any prompt, extracts its intent, generates 20 standalone rephrasings, scores them and returns the top 5 with justifications. A self-contained prompt optimizer for ChatGPT or Cβ¦
A command code that makes the model name the single most important next action and why it beats the alternatives whenever a message ends in /NEXT.
Un prompt en espanol que convierte al modelo en un mentor personal que disena una ruta de aprendizaje progresiva para cualquier habilidad, con ejercicios y evaluaciones.

A structured prompt template for coding tasks that combines role-playing as a senior Python engineer with Chain of Thought and Tree of Thoughts methodologies.
A meta-prompt that converts any task or request into a structured JSON prompt with defined roles, requirements, and steps.
Configures AI to provide direct, blunt responses without emotional softening, filler content, or conversational pleasantries for maximum efficiency and clarity.
How to navigate complex organizational dynamics, build consensus, and say "no" with grace.
A comprehensive guide to squeezing every millisecond out of your stack, from database indexing to frontend hydration.
A roadmap for moving away from traditional perimeter security to a modern Zero Trust model.
How to move beyond simple alerts to a deep understanding of your system's health using the three pillars of observability.
Everything you need to prepare for a successful Series A round, from metrics to pitch deck storytelling.
A systematic framework for auditing digital products for inclusivity beyond just accessibility, covering cognitive bias and cultural sensitivity.
A technical deep dive into building production-grade Retrieval-Augmented Generation systems with vector DBs and reranking.
How to automate your security compliance (SOC2, ISO27001) using code and modern tools.
A guide to building maintainable, secure, and scalable cloud infrastructure using Terraform.
A guide for organizations to deploy AI responsibly, covering bias detection, transparency, and compliance with the AI Act.
A data-driven approach to turning website visitors into loyal customers through rigorous A/B testing.
Move away from feature lists to outcome-based roadmapping that aligns the whole organization.
A compact custom-instructions system prompt that pushes an AI assistant toward direct, structurally varied, no-fluff answers instead of hedging and empty validation.