Prompt catalog
Browse reusable AI prompts by topic, then open any prompt to copy and adapt it for your workflow.
375 prompts · page 25 of 42
Fill in the feature you want built, the language, and up to three specific requirements, and get an implementation request structured enough that nothing important gets skipped. It explicitly asks for error handling, edge cases, performance, and framework best practices to be considered up front, and instructs the output to keep existing comments intact and explain its own logic inline.
Reviews a PR the way a strict test reviewer would when the code looks fine but the test coverage feels shaky. It calls out missing negative and boundary tests, gaps in integration coverage, flaky test risks, and spots where implementation changed but the matching tests didn't. Returns the critical missing tests first, then useful additional ones, described as sample test cases in plain English.
Summarizes a pasted diff in exactly three bullets for a reviewer who has never seen this codebase: what changed, why it changed, and what could go wrong. It's built to name real classes, functions, and file paths rather than describe changes abstractly, and it doubles as a scope check — if the diff can't be summarized in three concrete bullets, the PR is probably too big.
Reviews a pasted PR or diff in two passes instead of one: the first pass lists every potential issue it can find, and the second pass critiques those findings and throws out anything weak or unsupported. The final output separates confirmed issues from possible risks and lists discarded findings with the reason they didn't hold up, which cuts down on the false alarms a single-pass review tends to produce.
Generates unit tests for a single pasted function in whatever test framework you name, without needing a full diff or surrounding file for context. Covers three buckets specifically: normal expected inputs, edge cases, and invalid inputs, written in your framework's syntax so the output can be dropped straight into a test file. A good default when you just have one function and need a quick, focused test pass.
A deep-research protocol for turning a backlink gap export into page-level outreach targets, not just competitor domains. - Inputs: backlink gap data, your URLs to promote, your niche or value proposition - Finds the exact page on each domain worth targeting via site: searches - Hunts down the real contact, an author or editor, via search patterns and LinkedIn - Drafts a 150-200 word personalized outreach email referencing their exact article - Output: domain, their page URL, your URL, link context, email copy, and contact
Give it the type of site, why the same content is reachable through multiple URLs (tagging, filtering, tracking parameters), and the CMS or platform in use, and it returns ready-to-paste canonical tag code for that exact stack. A follow-up pass lists common implementation pitfalls, like self-referencing errors and conflicting canonicals, so you can sanity-check the fix, and flags when a permanent redirect is the better call instead of a canonical tag.
Takes a raw keyword export CSV with search volumes plus your current site structure and turns it into page-ready clusters instead of a flat keyword list. It groups semantically related terms, maps each cluster to an existing page or flags where a new page is needed, and scores opportunity by combined volume, competition, and business relevance. The output also flags cannibalization risk between overlapping clusters and ranks the top five clusters worth pursuing first.
Compares your full content inventory against a competitor's to surface exactly what they cover that you don't, beyond a single-keyword check. - Inputs: your content inventory, the competitor's content inventory, and target audience - Flags missing topics, differing angles on shared subjects, and content formats you lack - Analyzes depth, meaning where competitors go further into a topic than you do - Delivers a priority gap list ranked by opportunity plus a content creation roadmap - Pairs well with the single-keyword Google first-page gap analysis for a narrower view