Community-tested prompts with real feedback, version history, and freshness signals.
71 prompts
Threat-model a system by mapping assets, trust boundaries, attack paths, and mitigations.
Maps stakeholders by influence, impact, stance, and engagement strategy.
Evaluate whether a RAG retriever is finding the right evidence before changing the model.
Create a concise system prompt for a tool-using AI agent with clear boundaries and behavior.
Convert a manual business process into a reliable AI-assisted workflow.
Choose a chunking strategy based on document structure and user query behavior.
Review code like a senior engineer, focusing on correctness, maintainability, security, and tests.
Investigate a software bug systematically and distinguish symptoms from root cause.
Plan a safe refactor that improves design without changing intended behavior.
Design or review a Django application using pragmatic production patterns.
Review React code for correctness, state design, performance, accessibility, and maintainability.
Review an API contract for clarity, consistency, security, and long-term maintainability.
Review a Dockerfile and container setup for size, security, caching, and runtime reliability.
Review Kubernetes manifests or Helm values for reliability, security, and operational readiness.
Audit an API for broken access control, unsafe input handling, and abuse risks.
Prioritize product features using impact, evidence, effort, risk, and strategic fit.
Review a proposed software architecture for complexity, coupling, reliability, and evolution risk.
Design a practical test-automation strategy for a product and engineering team.
Structure a production incident investigation using timelines, evidence, hypotheses, and safe recovery steps.
Turns an ideal customer profile into sharp messaging that speaks to real pains and buying triggers.
Builds conversion-focused landing page copy from a product, audience, and offer.
