Code review for a pull request prompt
Produces a constructive, prioritized review report from a diff.
A strong open model; good at math, code and reasoning tasks.
Produces a constructive, prioritized review report from a diff.
Produces unit tests covering happy path, edge cases and error conditions for a function or class.
Refactors a messy code block without changing its behavior, improving naming and structure.
Identifies common vulnerabilities (OWASP Top 10 first) and proposes fixes.
Produces the best-fit Excel/Google Sheets formula with alternatives and debugging tips.
Picks an appropriate test, sizes the sample and sets a reporting frame for a hypothesis.
Picks the right chart type for your question and data, with axes and emphasis tips.
Turns algorithmic pseudocode into idiomatic, testable code in a target language.
Maps failure points in a piece of code and proposes a clear resilience strategy.
Teaches an algorithm with visual intuition, a concrete example and a small reference implementation.
Adds tight, readable TypeScript types to untyped or loosely typed code without changing runtime behavior.
Produces a small, secure multi-stage Dockerfile with a short usage guide.
Improves a slow SQL query with index, rewrite and schema suggestions.
Generates a regex for a described goal, explains it piece by piece and tests it against samples.
Produces a working, commented and safe SQL query for the given schema.
Suggests 2–3 patterns for a problem with pros/cons and justifies one.
Produces a fast, cached and secure CI/CD config with concise usage notes.
Writes a Conventional Commits-compliant, concise commit message.
Balances the test pyramid, picks the right level per risk and outlines an automation roadmap.
Plans a schema change in production in incremental, safe steps.
Analyzes slow or resource-heavy code, forms hypotheses and proposes measurable improvements.
Stress-tests a feature from three angles and surfaces easy-to-miss boundary cases.