Code-to-Prompt

Gather relevant source files for a task, resolve their dependencies, and package everything into a structured context prompt.

Produce an architectural design and implementation plan based on task requirements, identifying scope, dependencies, impact, and a step-by-step rollout strategy.

Explore the codebase and export a structured context file (e.g., context.xml) for pasting into an external LLM like ChatGPT or Claude Web.

Trace execution paths from an error or bug report to find the root cause, gathering surrounding context (callers, imports, tests) along the way.

Analyze dependencies, callers, and coupling before refactoring, then produce a safe incremental refactoring plan.

Review recent code changes by gathering git diffs, identifying affected callers and tests, and analyzing for security, performance, and breaking changes.

Identify untested functions by comparing source symbols with test symbols, then prepare context for writing missing tests.

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Design thinking and decision-making for web UI. Use when designing components, layouts, color schemes, typography, or creating aesthetic interfaces. Teaches principles, not fixed values.

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.

SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.

Testing patterns and principles. Unit, integration, mocking strategies.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.

Web application testing principles. E2E, Playwright, deep audit strategies.