29 prompts
A GitHub Copilot prompt that analyzes an existing feature, module, or bugfix area to identify current test coverage, missing cases, high-risk gaps, and a prioritized plan for adding the right tests before or alongside implementation.
A practical AI marketing prompt that turns raw market, audience, and offer inputs into a positioning decision brief for campaign planning, including audience segmentation, message hierarchy, proof gaps, risks, and recommended next actions.
A structured ChatGPT prompt that turns a business decision into an operator-ready memo with options analysis, assumptions, risks, decision criteria, and recommended next steps.
A GitHub Copilot prompt for turning a pull request goal into an implementation plan, code changes checklist, test strategy, and review-ready deliverable before editing code.
A GitHub Copilot prompt that turns a repository exploration goal into a structured onboarding brief, architecture map, key file inventory, local run/test checklist, and safe next-step plan for implementation work.
Copy-ready Codex exec prompt for implementing a scoped change in an existing repository, collecting missing inputs first, making minimal edits, and returning a verification-focused handoff with diffs, risks, and follow-up actions.
A claude code prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A code-focused prompt that converts a product requirement into an implementation brief, API integration plan, and risk-managed architecture decision for teams choosing among major AI model providers.
An autonomous Claude Code prompt for investigating a repository-local bug, collecting evidence from the codebase, identifying likely root causes, and producing a fix plan with validation steps before implementation.
A ai business workflows prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A github copilot prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A gemini prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A chatgpt prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A production-minded Claude Code prompt for implementing a scoped software feature end-to-end: plan, inspect codebase, make changes, add tests, self-review, and produce a verifiable handoff report.
A writing prompt to turn customer notes into a case study narrative with problem, stakes, implementation, outcomes, and proof gaps.
A research-oriented prompt that structures online source discovery planning, evidence review, citation table creation, synthesis, and decision support for use across major AI models without falsely implying live browsing occurred.
A production-minded Claude Code prompt for reproducing a reported bug, isolating root cause, implementing a scoped fix, validating impact, and preparing a clear engineering handoff with risks and verification evidence.
A Gemini prompt for synthesizing documents, slides, notes, and linked sources into a decision-ready research pack with evidence tracking, contradictions, source citations, and Google Workspace-oriented next actions.
A copy-ready ChatGPT prompt that turns a business or project decision into a structured decision brief with assumptions, options, evaluation criteria, risks, missing information, and a recommended next step.
A ai seo prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A ai marketing prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A cursor prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
A writing prompt to turn a rough topic into an article brief with angle, reader promise, outline, examples, and editing criteria.
A Gemini-ready research prompt that identifies how a brand or topic is represented across search and answer-engine ecosystems, maps citation gaps using primary and recent sources, and produces a decision-ready AI SEO brief with evidence, contradictions, risks, and next actions.