Code review, debugging, architecture, testing and docs. 88 reviewed prompts for engineering.
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.
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.
Creates a preliminary design outline for a solar plus battery site: components, sizing logic, protection, controls and open questions for the engineers. Use it at concept stage before detailed design.
Writes a safe, documented Bash script for an automation task, with option handling, error checks and usage notes. Use when you need a script that others can run and maintain.
Recommends the simplest workable approach for an AI-powered feature (better prompts, retrieval over your documents, fine-tuning or a mix) with trade-offs, an evaluation plan and cost notes. Use at the start of an AI project.
Designs a normalized relational schema from an app description and its most common queries, with table definitions, keys, indexes tied to real access patterns, and migration order. Use when starting a new data model or reviewing one.
Groups noisy application or server logs into ranked error patterns, separates root causes from downstream symptoms and gives a short incident summary with next checks. Use when something broke and you have logs to read.
Reviews a network design or an outage description and returns risks, a hardening plan and a step-by-step troubleshooting path. Use when designing, auditing or debugging an office, hybrid or cloud network.
Produces a risk-first design review for an AI feature used in a clinical or patient-facing setting: hazards, guardrails, escalation rules, evaluation and governance steps. Use before building or piloting.
Drafts a short runbook a tired engineer can follow when paged: checks, safe mitigations, escalation rules and a handover note. Use when documenting a service for on-call.
Produces a first-pass FMEA table with ratings, ranked risks, recommended actions and listed assumptions. Use it to prepare a design or process risk review before the team workshop.
