'repl' 검색 결과

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

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Add privacy-aware session recording and replay to React applications using the Temps SDK. Captures user interactions for playback while respecting privacy through input masking, element blocking, and GDPR-compliant consent flows. Use when the user wants to: (1) Add session recording to their app, (2) Implement session replay functionality, (3) Record user sessions for debugging, (4) Add privacy-compliant screen recording, (5) Debug user issues with visual replay, (6) Implement rrweb-based recording, (7) Set up GDPR-compliant session capture. Triggers: "session recording", "session replay", "record sessions", "user replay", "screen recording", "rrweb", "session capture".

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Draft, confirm, and post a single conversational reply to GitHub PR conversation comments (issue comments). The reply addresses all tracked items in one natural-prose message. Use when the user asks to "reply to PR conversation", "post PR conversation replies", or "draft PR conversation messages".

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Fix silent data loss when mutating Nostr replaceable events (Kind 0 profile, Kind 3 contact/follow list, Kind 10002 relay list, etc.) in client apps. Use when: (1) Following someone wipes the user's entire follow list, (2) Updating profile metadata loses existing fields, (3) Fresh browser session or mobile login causes data loss on first action, (4) Replaceable event mutation uses stale or null cached state. Root cause: Nostr replaceable events are full-replace (no partial update), so publishing based on stale/unloaded cache overwrites the canonical version. Applies to any Nostr client using React, Flutter, or similar reactive frameworks where query state may not be loaded when a mutation fires.

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Draft a reply or a value-add quote post for a specific Threads (Meta) post from its URL. Use to reply in a conversation, answer a creator, or quote-post with added value. Parses the post URL, reads pasted context, decides reply vs quote post, and drafts 1-3 warm variants in your voice. A reply to another user is a separate post and Publora cannot target it, so the draft is returned as a copy-paste block to post yourself. Not for top-level posts (use threads-post-writer).

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Validate RuField CSI or ultrasonic recording replay and its fusion boundary. Use for captured CSI JSONL, BatVu ultrasonic replay, replay adapter integration, or replay regression diagnosis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read who commented on recent Facebook posts and publish personalized replies through the real logged-in Chrome tab, draft-first, with a daily cap and a minimum gap between replies. Triggers: "/fb-reply", "reply to my facebook comments".

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SwiftUI プレビュー・Swift REPL・Apple ドキュメント検索。Xcode ネイティブ MCP 経由でのみ利用可能。「preview」「SwiftUI preview」「プレビュー」「REPL」「playground」「Swift 実行」「Apple docs」「ドキュメント検索」などのキーワードで自動適用。

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Debugs why session recordings aren't appearing in the local dev environment. Use when a developer reports that local replay ingestion isn't working, recordings aren't showing up despite /s calls, or the replay pipeline seems broken after hogli start. Covers the full local pipeline: SDK capture, Caddy proxy, capture-replay (Rust), Kafka, ingestion-sessionreplay (Node), recording-api (Node), SeaweedFS, and common failure modes like orphaned processes, stuck phrocs workers, and trigger misconfiguration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Replays a CARLA .log recorded by the recorder — the whole run or a time window, at any speed, following a chosen actor, optionally regenerating sensors and restoring weather. Use when the user asks to "replay the recording", "play back the run", "watch it again in slow motion / at 2x", "follow vehicle N during replay", or "replay onto a different map".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MySQL과 MariaDB의 테이블 설계와 느린 SQL을 검토합니다. 인덱스, 갱신 처리, 연결 관리, 복제 지연을 점검하고 구체적인 수정안과 검증 절차를 정리합니다.

• 테이블과 인덱스 설계
• 느린 SQL과 교착 상태 조사
• 대규모 운영 테이블 변경 검토

Review Ant Design GitHub issues and prepare responses, labels, and closure recommendations. It distinguishes bugs from feature requests, checks bot answers, and presents a complete plan for approval before making changes.

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• Draft responses to unanswered issues
• Classify bugs and feature requests
• Review dosubot answers

Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.

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• Sending a prompt from a terminal
• Using file contents as a prompt
• Displaying and saving streaming responses

Compare two recorded browser sessions at matching step IDs using screenshots and accessibility snapshots, which describe page elements. Report the first difference and overall similarity to check interface changes or verify replayed sessions.

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• Checking visual regressions after interface changes
• Verifying a replay against its original session
• Comparing A/B variants of a form workflow

Replay recorded browser actions on the original or an alternative URL to check UI changes or reproduce bugs. When a page element cannot be found, the skill searches for a similar target and records how many steps succeeded.

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• Checking UI flows after a deployment
• Reproducing a bug from a recorded session
• Preparing repeated runs for screenshot comparison

Create and edit Word documents and templates, reorganize text, replace images, and work with tracked changes or comments. Apply proper headings and lists, then render every page to check its appearance before delivery.

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• Create a structured Word document
• Reorganize content in an existing document
• Replace images or text in a document

Create, read, and edit Word documents and templates, including image replacement, comments, and tracked changes that record revisions. The workflow also checks document structure and renders finished files for visual review.

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• Create a formatted Word report
• Extract and reorganize text from Word files
• Review edits with tracked changes and comments

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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• Check installed Nsight Graphics versions and compatibility
• Capture frames from a graphics application
• Summarize GPU activity and investigate performance bottlenecks

Work through GitHub pull request feedback by classifying findings, fixing code, running repository checks, and posting replies. With suitable permissions, the skill repeats Copilot reviews until the latest code is reviewed and every thread has an agent response.

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• Address outstanding Copilot review comments
• Run repeated reviews on a completed pull request
• Explain declined suggestions and hand off design decisions

Set up an agent that replies in Slack or Microsoft Teams using CopilotKit's guided CLI workflow. It covers project preparation, agent creation, channel configuration, a persistent host process, and verification with a real message.

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• Building a first agent that replies in Slack
• Connecting an agent to Microsoft Teams
• Checking channel setup through a real reply