Community-tested prompts with real feedback, version history, and freshness signals.
156 prompts
Designs a referral program with incentives, messaging, mechanics, and anti-abuse considerations.
Designs a useful lead magnet that naturally connects audience pain to the product.
Turn APIs and actions into agent tools that an LLM can call reliably.
Audit an LLM application for direct and indirect prompt-injection vulnerabilities.
Combine lexical and semantic retrieval into a practical hybrid search design.
Investigate a software bug systematically and distinguish symptoms from root cause.
Review Kubernetes manifests or Helm values for reliability, security, and operational readiness.
Creates creator-friendly briefs for authentic user-generated content ads.
Converts operating information into a concise board-level update focused on outcomes, risks, and decisions.
Design an end-to-end retrieval-augmented generation system for grounded answers.
Design an AI-ready knowledge base with clean structure, metadata, ownership, and freshness.
Plan a safe refactor that improves design without changing intended behavior.
Create a phased cloud migration plan with dependencies, risk callouts, and rollback strategies.
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.
Creates a usable brand voice guide with examples, anti-examples, and editing rules.
Rewrites product descriptions around use cases, benefits, clarity, and conversion.
Builds the strategic story behind a product launch before writing campaign assets.
Turns a growth hypothesis into a measurable marketing experiment.
Frames pricing options using value, customer segments, competition, and willingness-to-pay evidence.
Builds useful customer segments based on needs, economics, and behavior rather than demographics alone.
