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Screen study titles, abstracts, and full texts against confirmed eligibility rules. Two AI reviewers assess records separately, with a third resolving conflicts, while outputs document exclusion reasons, selection counts, and the methods used.
中文简介正在准备中。当前显示英语简介。
Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.
中文简介正在准备中。当前显示英语简介。
Check Screenpipe's process, API, screen capture, and audio transcription status. Inspect logs, storage, resource usage, and processing metrics to identify problems, then report the findings with relevant errors and suggested fixes.
中文简介正在准备中。当前显示英语简介。
Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.
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Find past discussions across existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats by title, workspace, or message text. With explicit authorization, send follow-up work to a specific supported chat; Gemini CLI supports search only.
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Generate Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.
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Edit Screenpipe walkthrough videos built from screenshots and narration while preserving the original procedure. Adjust wording, titles, pacing, and visual focus, then render an updated video when requested.
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Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.
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Create charts, dashboards, scorecards, and styled summaries as standalone HTML reports for the screenpipe viewer. Keep styles, scripts, and images inside the file so the report renders in a sandbox with no network access.
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Find past decisions, documents, and conversations in Screenpipe recordings. Get an answer with timestamps and available source links, with clear distinctions between recorded evidence, inference, and gaps in coverage.
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Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.
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Capture before and after screenshots of Lite UI changes on a local machine, compare the images, and publish changed screens to a pull request. It also guides screenshot coverage checks and updates to an existing comment.
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Search screen text and audio recorded by Screenpipe to recall meetings or activity in other apps. Filter by topic, time, or application, then optionally save selected facts with source references into claude-mem.
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Turn selected Screenpipe activity into a concise recap for a defined audience. Summarize outcomes from recorded evidence, then review the draft to remove identifying details, private links, sensitive amounts, and unnecessary personal information before sharing.
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Retrieve and analyze Screenpipe recording engine and desktop app logs to investigate errors or events at a specific time. Get timestamped findings, recurring error patterns, possible causes, suggested fixes, and indications of service status.
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Search team activity in Screenpipe Enterprise and review records by device and time. Preview, deploy, and schedule managed Pipes, which are AI automations, with explicit targets and checks before changes.
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Develop and test Windows-specific Screenpipe changes on a disposable Azure virtual machine. The workflow verifies native behavior, preserves logs and desktop video, and handles branch and pull request delivery when authorized.
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Investigate and maintain documented workflows using Screenpipe evidence and shared drafts. Review whether recorded actions support each procedure, preserve verified steps, and add timing measurements only when clear start and end evidence is available.
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This skill should be used when the user asks to "dev-screen-spec", "画面仕様を生成", "画面仕様を更新", "screen spec", "generate screen spec", "update screen spec", "画面仕様ドキュメント". ソースコードから画面仕様ドキュメントを自動生成・差分更新する。受け入れ条件から画面仕様を事前生成する from-plan モードも対応。
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Use when user asks to create/design a big screen (大屏), full-screen data visualization, or says "创建大屏", "生成大屏", "新建大屏", "设计大屏", "做一个大屏", "BI大屏", "数据大屏", "可视化大屏", "监控大屏", "create big screen", "design big screen", "BI visualization big screen". Also triggers when user describes big screen requirements like "做一个销售数据大屏" or mentions full-screen display like "展厅展示", "监控室大屏". Make sure to use this skill for big screens (大屏) — NOT dashboards (仪表盘/看板), which use a completely different layout and styling system.
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End-to-end pooled and single-cell CRISPR screen analysis from FASTQ to hit genes. Orchestrates library design QC, guide counting, six-stage screen QC (plasmid Gini, replicate Pearson, CEGv2 PR-AUC, copy-number artifact), method-appropriate hit calling across MAGeCK RRA/MLE, BAGEL2, drugZ, JACKS, and Chronos, cancer-cell-line copy-number correction (CRISPRcleanR / Chronos), batch correction for multi-batch screens, and the specialized branches for combinatorial paralog screens, single-cell Perturb-seq, base-editor variant-function screens, prime-editor screens, and in vivo bottleneck-aware screens. Use when analyzing any pooled CRISPR screen end-to-end, choosing the correct hit-calling method by experimental design, integrating copy-number correction into the pipeline, or branching the workflow for single-cell, combinatorial, base-editor, prime-editor, or in vivo variants.
中文简介正在准备中。当前显示原文说明。
End-to-end pooled and single-cell CRISPR screen analysis from FASTQ to hit genes. Orchestrates library design QC, guide counting, six-stage screen QC (plasmid Gini, replicate Pearson, CEGv2 PR-AUC, copy-number artifact), method-appropriate hit calling across MAGeCK RRA/MLE, BAGEL2, drugZ, JACKS, and Chronos, cancer-cell-line copy-number correction (CRISPRcleanR / Chronos), batch correction for multi-batch screens, and the specialized branches for combinatorial paralog screens, single-cell Perturb-seq, base-editor variant-function screens, prime-editor screens, and in vivo bottleneck-aware screens. Use when analyzing any pooled CRISPR screen end-to-end, matching the hit-calling method to the experimental design, integrating copy-number correction into the pipeline, or branching the workflow for single-cell, combinatorial, base-editor, prime-editor, or in vivo variants.
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Capture screenshots of an entire desktop, an app window, or a selected pixel region across operating systems. Use the resulting images as marketing materials, references for design reviews, or evidence in bug reports.
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Edit screen recordings from the command line with zoom effects, speed changes, cuts, cropping, and text annotations. Adjust backgrounds and framing, review rendered previews, and export the finished video as MP4 or GIF.
中文简介正在准备中。当前显示英语简介。