780 reviewed prompts.
Extracts the most useful insights from an article, report or transcript and turns them into prioritized actions with owners and next steps. Use when you have little time and need what to do, not a summary.
Classifies a proposed AI use as approved, conditional or not approved against your own policy and the laws that may apply, with conditions and required reviewers. Use when a team asks to adopt an AI tool; output is a draft for legal review.
Finds likely unused code in a codebase or module, rates how safe each item is to remove and orders the cleanup into phases. Use when a codebase feels heavy and you want to shrink it safely.
Creates a realistic but fictional dataset with a clear schema, controlled quirks and a data dictionary. Use it for demos, training, testing dashboards or practising analysis.
Reviews backend service code for layering, SOLID violations, API design and performance risks, and proposes small concrete refactors. Use it before merging a feature or when a codebase becomes hard to change.
Turns rough notes from your day into a short, honest report of what you finished, what is blocked and what comes next. Use at the end of each day for your manager or team channel.
Standing guard for summarizing or analyzing emails, web pages, tickets and files written by others. Use when working with outside content that might contain hidden or misleading instructions.
Explains a security finding from a code scanner, fixes it in the context of your code, and proposes tests that prove nothing broke. Use when a scan flags unsafe handling of user input.
Produces a technical plan for a new mobile app: native vs cross-platform choice, offline and sync design, device features, performance budgets, testing and store release. Use it at the start of a mobile project or before hiring.
Sorts a messy list of worries, ideas and to-dos into concrete next steps, projects, follow-ups and a short plan for today. Use when your head is full and you need a trustworthy list.
Designs how to test an AI-powered feature before and after launch: success metrics, a balanced test set, a 1-5 scoring rubric with examples, pass criteria and a failure log. Use when you need to know whether an AI feature is good enough to ship.
Builds a realistic day-by-day itinerary with timing, travel legs, budget notes and backup options. Use it when planning a trip or a business visit.
