'power' 검색 결과

PptxGenJS로 PowerPoint 발표 자료를 처음부터 만들거나 편집하도록 에이전트에 요청합니다. 용도와 전체 작업 파일의 설치 방법을 안내합니다.

• PowerPoint 자료를 처음부터 만듭니다
• PowerPoint 자료 편집을 요청합니다
• PptxGenJS로 슬라이드 제작을 요청합니다

Unwrap layers of obfuscated PowerShell malware to recover hidden commands, additional malicious code, and server addresses. Combines script structure analysis with execution tracing and decoding tools to support incident investigation and detection work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating an obfuscated PowerShell script
• Recovering hidden commands and additional malicious code
• Extracting suspicious URLs, IP addresses, and file paths

Create a Power Apps Code App starter project with React and TypeScript. Set up development tools, authentication, connector examples, and deployment scripts, with documentation covering local development and Power Platform configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a Power Apps Code App project
• Build a sample that retrieves Office 365 Users profiles
• Document local development and deployment steps

Connect an AI agent to Power Automate through FlowStudio MCP. This skill covers authentication, discovering available tools, reusable Python or Node.js helpers, and extracting useful data from responses too large to display directly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up authentication for a Power Automate connection
• Discover available tools for a task
• Build a reusable Python or Node.js helper

superpowers 작업 기록을 읽고 중복 작업, 계획 이탈, 시간과 토큰 사용량을 조사합니다. 기록 파일의 경로와 줄 번호를 근거로 경위를 보고서로 정리합니다.

• 중복 작업과 계획 이탈 조사
• 세션 소요 시간과 토큰 사용량 확인
• 스킬 사용 여부 확인

Investigate suspicious PowerShell activity using endpoint monitoring data and security logs. Examine encoded commands, downloads, and attempts to evade inspection, then document evidence, affected systems, risk, and recommended response actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for suspicious PowerShell execution
• Investigating endpoint and security log alerts
• Assessing the scope of a PowerShell-related incident

Build presentation slides in HTML, preview them in a browser, and export PDF or PPTX files. Also create fully editable PowerPoint decks or modify existing templates, with checks for content, layout, and rendering issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating presentation slides and previewing them in a browser
• Exporting slides as PDF or PPTX files
• Creating fully editable PowerPoint decks

발표 메모나 PowerPoint로 브라우저에서 실행되는 HTML 슬라이드를 만듭니다. 미리보기로 디자인을 선택하고 화면에 맞는 레이아웃과 애니메이션을 구성합니다.

• 발표와 사내 보고용 슬라이드를 만듭니다
• PowerPoint를 HTML로 변환합니다
• 미리보기로 자료 디자인을 선택합니다

Turn business requirements or meeting transcripts into a Power Platform solution design. The skill recommends components, explains how people and data move through the process, and can provide a Mermaid.js diagram to illustrate the proposed architecture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning discovery meeting transcripts into a solution design
• Choosing components for employee onboarding
• Designing a Power Apps solution with SQL and approvals

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, the powersync Rust crate, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, edit, and extract content from PowerPoint presentations and templates. Combine or split decks, work with speaker notes, and build slides with consistent themes, reusable layouts, and charts that remain editable in PowerPoint.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a PowerPoint proposal or presentation
• Update slides using an existing template
• Extract slide text for summaries or other documents

Rebuild slide images, screenshots, scanned PDFs, or image-only presentations as editable PowerPoint files. Reconstruct text and simple shapes as separate objects, retain complex visuals as image assets where needed, and check rendered slides against their sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering editable slides from screenshots
• Converting scanned presentation PDFs into PowerPoint
• Rebuilding diagrams with editable shapes and connectors

Organize Power Automate flows by business impact and responsible team using FlowStudio’s cached records. Find resources without active owners, audit connections to other services, review compliance metadata, and configure notifications for failures or missing runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review flows for missing governance information
• Find resources owned by departing employees
• Audit connectors and premium license needs

Build detections for fileless attacks on Windows using process activity, script logs, and endpoint monitoring. Investigate suspicious PowerShell, code injected into running processes, WMI persistence, and registry-based execution with logging guidance and detection query examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building detections for suspicious PowerShell activity
• Hunting for code injection into running processes
• Monitoring WMI persistence and registry-based execution

Analyze Windows PowerShell event logs to reconstruct scripts split across records and identify encoded commands, suspicious downloads, and security scanning bypass attempts. Produce a report with recovered scripts, risk scores, and mappings to documented attack techniques.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious PowerShell activity
• Reconstructing scripts split across log records
• Finding encoded commands and suspicious downloads

Estimate study sample sizes and statistical power, the chance of detecting a specified effect. Calculate detectable effects for a fixed sample, compare assumptions with power curves, and document adjustments for dropout, multiple comparisons, or clustered observations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimate participant or sample counts before data collection
• Find the smallest effect detectable with a fixed sample
• Compare sample requirements across plausible effect sizes

Compute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a simulation-based power option for non-standard designs (DiD/event-study, IV, panel). Use when user says "power analysis", "power calculation", "MDE", "minimum detectable effect", "how big a sample do I need", "is my study powered", "power for an RCT", or when /preregister needs a power section for an experiment. Produces a power/MDE table, power curves, and a methods paragraph to paste into a preregistration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

PowerPoint 자료와 템플릿을 만들고 편집하며, 텍스트 추출과 슬라이드 병합·분할을 수행합니다. 파일 구조와 화면을 점검하고 글자 잘림과 겹침을 수정합니다.

• 내용을 바탕으로 PowerPoint 자료 제작
• 기존 템플릿으로 자료 업데이트
• 요약에 쓸 슬라이드 텍스트 추출

Convert an HTML slide deck into a PowerPoint file with editable text, shapes, and images. The skill handles font substitutions, imports speaker notes, and checks export warnings to help identify missing images or incorrectly captured slides.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert HTML slides into an editable PowerPoint deck
• Replace custom fonts before exporting
• Include speaker notes in a PowerPoint file