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Measure the size and nesting of a page's DOM, the tree of HTML elements. Identify unnecessary wrappers and oversized lists, then simplify the structure or render only visible list items to reduce confirmed rendering costs.
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Review JavaScript module usage and convert CommonJS code to ES modules using import/export. Inspect source code and browser execution, explain how unused code can be removed during builds, and describe how to verify changes.
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Audit slow page loads by measuring how static files, such as images and scripts, are delivered. Check CDN usage, a network of distributed servers, and identify caching or delivery settings that need improvement.
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Audit browser caching to reduce repeated downloads when people revisit a site. Check cache headers for static files and HTML pages, then suggest suitable storage durations and validation settings based on measured loading problems.
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Review JavaScript variable declarations, report every use of var with line numbers, and replace declarations with const or let according to reassignment. Explain variable scope and initialization behavior, and check affected browser execution paths.
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Find console output left in production JavaScript and help remove it, disable it by environment, or replace it with a logging service. Reviews cover source code and browser execution paths, including how to verify the changes.
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Measure CLS, a score for unexpected movement of page content, and identify what causes it. Review image dimensions, reserved advertising space, fonts, and animations to recommend changes that reduce reading interruptions and accidental clicks.
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Check whether HTML, JavaScript, and CSS are delivered with Gzip or Brotli compression. Use measured loading problems and response headers to guide server or CDN changes that reduce the amount of data downloaded.
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Review communication between different websites for security issues. Inspect code and browser behavior to identify overly broad CORS permissions, unchecked message senders, missing request protections, and unsafe redirects, then propose fixes and browser checks.
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Audit CSS file sizes and loading behavior to find stylesheets that delay page rendering. Confirm the problem with performance measurements, then reduce unnecessary CSS through minification, unused-style removal, or splitting files by page.
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Check Google Consent Mode v2 implementation and the consent states sent to Google services. Review advertising consent settings and help update GTM or gtag.js so tag behavior reflects users’ consent choices.
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Find JavaScript that executes strings as code, including eval(), new Function(), and string-based timers. Review how it runs in the browser and suggest alternatives for parsing data, choosing operations, and scheduling functions to reduce code injection risks.
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Audit large animated GIFs that may slow a web page, confirm their impact with performance measurements, and guide conversion to MP4 or WebM with video markup suited to looping animations.
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Audit the macOS and Windows branches of Mole CLI for safety risks, excess complexity, outdated information, performance issues, and lessons missing from tests or rules. Challenge each finding before reporting it, then implement and record approved fixes.
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Operate NVIDIA Nsight Graphics from the command line to capture application frames and GPU activity. Summarize performance traces, analyze existing capture files through ngfx-replay, and check installed versions and compatibility before starting an investigation.
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Guide Angular development, code review, and refactoring with prioritized performance rules. Review rendering efficiency, loading time, and bundle size—the amount of code delivered to browsers—alongside data fetching and server-rendered page setup.
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Measure Python execution time and memory use to locate slow or resource-heavy code. Use profiling results to guide improvements in data structures, caching, input and output operations, algorithms, and parallel processing.
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Set up distributed tracing with Jaeger and Tempo to follow requests across services. Examine delays, service dependencies, and error propagation, with guidance on sampling, linking logs to traces, and troubleshooting missing trace data.
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Investigate bugs and slow applications through reproducible examples, logs, environment comparisons, and hypothesis testing. The skill structures root cause analysis and performance measurement, helping developers narrow down failures and verify that a fix works.
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Investigate slow SQL using execution plans, which show how a database processes a query. Review indexes, filters, joins, and maintenance practices through PostgreSQL examples to identify bottlenecks and plan changes to queries or database structure.
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Improve slow Apache Spark jobs by reviewing data partitions, caching, memory settings, and shuffles, which move data between workers. Use the guidance to investigate bottlenecks and tune pipelines for larger datasets.
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Diagnose slow Power BI reports, data refreshes, and queries through structured measurement and troubleshooting. Get recommendations for data models, DAX calculation formulas, report layouts, and infrastructure, with guidance for validating improvements and ongoing monitoring.
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Support product and business decisions for internet services in mainland China. Assess goals, evidence, constraints, and bottlenecks to recommend a focused next step, including actions, success measures, and conditions for changing direction.
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Analyze business workflows to find delays, repeated work, unnecessary steps, and opportunities for automation. Get a before-and-after process comparison, specific recommendations, estimated effects, and an implementation plan based on how the work currently happens.
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