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Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
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Chrome DevTools MCPを使ってWeb performanceを分析する。Core Web Vitals（LCP、INP、CLS）とFCP、TBT、Speed Indexを計測し、render-blocking resources、network dependency chains、layout shifts、cache、accessibilityの問題を特定する。表示速度の監査・計測・デバッグ・最適化、Lighthouse scoreの改善で使用する。既定スタックの必須スキルではないoptional群であり、要件で明示された場合、またはapp-orchestratorがv1前の計測として指示した場合のみロードする。事前学習の知識より最新の公式ドキュメントを優先する。
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React Hook Form v7 (RHF、非制御フォームライブラリ) リファレンス。別名 rhf / React-Hook-Form。 useForm, register, handleSubmit, watch, setValue, getValues, getErrors, reset、 Controller, useFieldArray / FieldArray, formState / FormState, ErrorMessage、 resolver (Zod / Yup / Joi)、バリデーション、Server Actions / useActionState、 DevTools (@hookform/devtools)、TypeScript 型。
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chrome-devtools を使って動作確認チェックリストに沿ったテストを実行する。「動作確認して」「テストして」「動作テストして」「ブラウザで確認して」「チェックリストを確認して」などの依頼で発火する。
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Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
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Generates and delivers all outreach for OUTREACH_READY leads. Automated delivery via Chrome DevTools MCP -- email, LinkedIn, Instagram. Gig leads auto-applied on platform. No approval gates.
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End-of-day response check and pipeline update. Run at 6 PM via cron. Checks all channels for replies via Chrome DevTools MCP + Zoho MCP, updates lead statuses, pauses cadence for responded leads, sends EOD report via Telegram.
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Full daily sales pipeline execution. Run at 9 AM via cron. Scans for signals, enriches company leads, auto-applies to gigs, runs multi-channel outreach, processes follow-ups. All delivery automated via Chrome DevTools MCP.
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Determines all follow-up actions due today across the 10-day outreach cadence. Generates content and delivers automatically via Chrome DevTools MCP. Sends Telegram confirmation after completion.
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Check all outreach channels for replies using Chrome DevTools MCP. Scans Zoho webmail, LinkedIn messaging, and Instagram DMs.
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Find phone numbers for decision makers via Lemlist using Chrome DevTools MCP. Takes LinkedIn profile URLs and returns phone numbers where available.
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Find and validate email addresses using Snov.io via Chrome DevTools MCP. Takes LinkedIn profile URLs and returns verified emails. Replaces ZeroBounce.
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Find 5 decision makers at a company via Apollo.io UI using Chrome DevTools MCP. No enrichment, no credits used.
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调查OpenClaw测试中的内存增长和内存不足，比较测量结果与内存对象记录，区分实际释放遗漏和测试进程保留的模块，并验证修复效果。
Debug Node.js from the terminal by pausing execution, inspecting variables, and tracing function calls. Use interactive commands or scripts to investigate failing tests, collect runtime state, and capture CPU profiles or memory snapshots.
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通过测量定位页面显示、交互、API和数据库的性能瓶颈，对比修改前后的数据验证效果。撤销没有明确收益的修改，并添加性能检查与监控，防止再次变慢。
为新功能和缺陷修复先编写失败测试，再以最少代码实现通过并整理代码。反复验证预期行为及对现有功能的影响，遵循项目已有测试工具与约定。
Review picture elements that select images by format or display conditions. Check fallback images, alternative text, dimensions, and source ordering, then provide corrected HTML with JPEG or PNG fallbacks for browsers that cannot use the selected formats.
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Review image loading settings based on where images appear on a page. Identify offscreen images that should load later, keep important visible images loading promptly, and add image dimensions to reduce layout shifts.
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Review website images for high-density displays, where standard assets can look blurry. Check higher-resolution versions, HTML and CSS image selection, delivery settings, and loading behavior, then identify specific files or components that need changes.
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Review website JPEGs for progressive encoding, which displays a blurry preview before sharpening. Identify images that could use this format, consider file size and loading behavior together, and explain how to confirm the change in browser developer tools.
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Audit website images for excessive file sizes, unnecessary metadata, and loading issues. Apply format-specific compression and cleanup, then compare file sizes before and after changes to show the resulting reduction in image data.
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Review mobile test coverage across real devices and simulated screen sizes. Find gaps in automated checks and CI, the workflow that runs project checks, and add Playwright tests for key mobile user flows.
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Audit website images and guide conversion to WebP and AVIF, formats that reduce image transfer size. Identify affected files, add fallback images, and review dimensions and loading behavior alongside the impact on initially visible content.
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