11 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 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.
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 implementing a scoped software feature end-to-end: plan, inspect codebase, make changes, add tests, self-review, and produce a verifiable handoff report.
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.
A Claude Code prompt that designs a multi-phase agent execution plan for a real delivery goal, including handoffs, dependencies, checkpoints, rollback triggers, assumptions, risks, and acceptance criteria.
Autonomous Codex prompt to inspect a repository, clarify inputs, identify affected files, and produce an implementation-ready change plan with risks, assumptions, and verification steps before any code edits.
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 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 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 script-ready prompt that turns one task into a provider-flexible test harness, helping teams decide whether a prompt specification is portable, safe, and consistent across major AI models before integrating it into production workflows.