'modi' 검색 결과

Audit article update dates across the visible page, HTTP response headers, and structured data that describes the article to search engines. Align these signals with substantive content changes and review how the CMS or build process updates them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing update dates on articles and blog posts
• Reviewing CMS rules for updating modification dates
• Checking timestamps applied during static site deployments

Use SwiftUI interface components and appearance settings in an Expo SDK 55 app. The skill guides package installation, wrapping SwiftUI content in Host, and embedding React Native components within a SwiftUI layout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add SwiftUI interface components to an Expo app
• Embed React Native components in a SwiftUI layout
• Check component and modifier APIs for SDK 55

원유·가스·금·반도체 등의 무역 데이터를 국가나 품목으로 조회합니다. 거래 상대, 금액, 중량, 전년 대비 급변을 통해 중요 물자의 흐름과 무역 의존도 변화를 살펴봅니다.

• 중요 물자의 거래 상대 확인
• 반도체 무역의 전년 대비 급변 탐색
• 물자 무역 의존도 변화 확인

Audit publication and update dates on articles and blog posts. Add visible dates and structured metadata, information search engines can read, and check that modification dates reflect meaningful content changes rather than routine deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing date displays on blog posts
• Adding publication and update dates to Article JSON-LD
• Checking date handling in CMS templates

Modify asset file in the project. Use 'assets-get-data' tool first to inspect the asset structure before modifying. Not allowed to modify asset file in 'Packages/' folder. Please modify it in 'Assets/' folder.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when practitioners need to understand system-managed fields (CreatedDate, LastModifiedDate, SystemModstamp, CreatedById, LastModifiedById, IsDeleted) — their update behavior, indexing, and queryability. Triggers: 'difference between SystemModstamp and LastModifiedDate', 'how to query deleted records', 'set CreatedDate during data migration', 'why does LastModifiedDate not match SystemModstamp', 'Create Audit Fields permission'. NOT for a field's value-change history — use data/field-history-tracking. NOT for Shield Field Audit Trail — use security/field-audit-trail.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects m6A modifications from Oxford Nanopore direct-RNA-sequencing (ONT DRS) signal data using m6Anet (Hendra 2022 *Nat Methods* 19:1590; multiple-instance-learning neural network over DRACH 5-mer signal). Covers the required upstream pipeline (Dorado / Guppy basecalling -> minimap2 transcriptome alignment with `-ax map-ont -uf -k14 --secondary=no` -> nanopolish eventalign with `--scale-events --signal-index` (m6Anet-required) plus `--summary` / `--threads` housekeeping -> m6anet dataprep -> m6anet inference), per-site vs per-read probability interpretation including the `mod_ratio` per-site stoichiometry column, the DRACH-only modeling constraint, minimum-coverage thresholds (20-50 reads per site for stable probability estimates), multi-condition comparison via xPore (Pratanwanich 2021 *Nat Biotechnol* 39:1394), Nanocompore (Leger 2021 *Nat Commun* 12:7198), ELIGOS (Jenjaroenpun 2021 *NAR* 49:e7), and Dorado native modification calling (RNA004 chemistry, 2024+), reference-transcriptome version pinning, the cDNA-vs-DRS chemistry distinction (cDNA-Nanopore CANNOT be used for modification detection), and orthogonal validation against MeRIP / GLORI. Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting per-site `probability_modified` vs `mod_ratio` vs per-read modification probabilities, comparing methylation between conditions from ONT data, deciding between m6Anet for known DRACH sites and Dorado/Remora for genome-wide screening, pinning RNA002 vs RNA004 chemistry and basecaller model versions, or troubleshooting eventalign / dataprep failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects m6A modifications from Oxford Nanopore direct-RNA-sequencing (ONT DRS) signal data using m6Anet (Hendra 2022 *Nat Methods* 19:1590; multiple-instance-learning neural network over DRACH 5-mer signal). Covers the required upstream pipeline (Dorado / Guppy basecalling -> minimap2 transcriptome alignment with `-ax map-ont -uf -k14 --secondary=no` -> nanopolish eventalign with `--scale-events --signal-index` (m6Anet-required) plus `--summary` / `--threads` housekeeping -> m6anet dataprep -> m6anet inference), per-site vs per-read probability interpretation including the `mod_ratio` per-site stoichiometry column, the DRACH-only modeling constraint, minimum-coverage thresholds (20-50 reads per site for stable probability estimates), multi-condition comparison via xPore (Pratanwanich 2021 *Nat Biotechnol* 39:1394), Nanocompore (Leger 2021 *Nat Commun* 12:7198), ELIGOS (Jenjaroenpun 2021 *NAR* 49:e7), and Dorado native modification calling (RNA004 chemistry, 2024+), reference-transcriptome version pinning, the cDNA-vs-DRS chemistry distinction (cDNA-Nanopore CANNOT be used for modification detection), and orthogonal validation against MeRIP / GLORI. Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting per-site `probability_modified` vs `mod_ratio` vs per-read modification probabilities, comparing methylation between conditions from ONT data, deciding between m6Anet for known DRACH sites and Dorado/Remora for genome-wide screening, pinning RNA002 vs RNA004 chemistry and basecaller model versions, or troubleshooting eventalign / dataprep failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent fallback for CBaseEntity_ModifyOrAppendCriteria (auto-generated, category: vfunc). Locate CBaseEntity::ModifyOrAppendCriteria in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_ModifyOrAppendCriteria, CBaseEntity::ModifyOrAppendCriteria

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement or change behavior in Composio’s TypeScript SDK, the library used to integrate Composio into applications. Covers tools, sessions, authentication settings, connected accounts, and generated interfaces in @composio/core and shared TypeScript packages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Change tool or toolkit behavior
• Implement session or authentication changes
• Update connected account handling

Detects m6A modifications from Oxford Nanopore direct-RNA-seq (DRS) signal using m6Anet (multiple-instance-learning over DRACH 5-mer signal). Covers the upstream pipeline (Dorado/Guppy basecalling -> minimap2 map-ont -> nanopolish eventalign -> m6anet dataprep -> m6anet inference), per-site vs per-read probability including the mod_ratio stoichiometry column, the DRACH-only constraint, minimum-coverage thresholds (20-50 reads/site), multi-condition comparison via xPore/Nanocompore/ELIGOS, Dorado native modification calling (RNA004, 2024+), and the cDNA-vs-DRS distinction (cDNA Nanopore CANNOT detect modifications). Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting probability_modified vs mod_ratio vs per-read probabilities, deciding between m6Anet (known DRACH sites) and Dorado/Remora (genome-wide screening), pinning RNA002 vs RNA004 chemistry and basecaller versions, or troubleshooting eventalign/dataprep failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Evaluates commodity swaps, options, and exotic structures with seasonality, convenience yield, and storage cost analysis. Use when pricing commodity derivatives, analyzing energy structures, or evaluating commodity hedging.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects m6A modifications from Oxford Nanopore direct-RNA-seq (DRS) signal using m6Anet (multiple-instance-learning over DRACH 5-mer signal). Covers the upstream pipeline (Dorado/Guppy basecalling -> minimap2 map-ont -> nanopolish eventalign -> m6anet dataprep -> m6anet inference), per-site vs per-read probability including the mod_ratio stoichiometry column, the DRACH-only constraint, minimum-coverage thresholds (20-50 reads/site), multi-condition comparison via xPore/Nanocompore/ELIGOS, Dorado native modification calling (RNA004, 2024+), and the cDNA-vs-DRS distinction (cDNA Nanopore CANNOT detect modifications). Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting probability_modified vs mod_ratio vs per-read probabilities, deciding between m6Anet (known DRACH sites) and Dorado/Remora (genome-wide screening), pinning RNA002 vs RNA004 chemistry and basecaller versions, or troubleshooting eventalign/dataprep failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

값 반환과 부수효과가 혼재된 메서드를 Query(순수)와 Modifier(부수효과)로 분리(CQS). "쿼리와 명령 분리", "getter가 상태를 바꿔", "CQS", "/separate-query-modifier" 요청 시 사용. 단, I/O 전체를 계산에서 떼어내는 것은 /segregate-functional-core가 적합. /separate-query-modifier [commit-ref]로 호출.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Hermes Docker 이미지의 s6 서비스 감독 구성을 파악합니다. 상주 서비스를 추가하고 프로필별 gateway의 시작·재시작 오류와 파일 소유권 문제를 조사합니다.

• Docker 이미지에 상주 서비스 추가
• gateway가 시작되지 않는 원인 조사
• 재시작 후 gateway 복원 실패 조사

Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess crude oil supply and demand
• Review gold drivers such as real rates and the dollar
• Study copper inventories and economic signals

Create, inspect, and modify Word, Excel, and PowerPoint files using officecli, a command-line tool that does not require Office. Extract text, check formatting and structure, replace content, and add tables or charts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create reports, spreadsheets, and slide decks
• Extract text and inspect document structure
• Find formatting issues and replace text

Implement or modify Composio's Python SDK, the code used to integrate its features into Python applications. Covers tools, sessions, authentication settings, connected accounts, client integration, and shared models under python/composio.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement or modify Python tools and toolkits
• Update session and authentication behavior
• Revise client integration and shared Python models

Create, modify, test, or package Python provider adapters, the components used for framework connections. Work covers framework dependencies, public imports, type inference, and provider metadata within python/providers, with a referenced workflow to consult before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create or modify a Python provider adapter
• Adjust framework-specific dependencies and public imports
• Work on type inference and provider metadata

Create or modify Handsontable cell renderers, functions that control cell appearance. It guides safe text and HTML handling, accessible cell attributes, content placement, and caching choices for expensive rendering work during scrolling and redraws.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a custom cell renderer
• Reviewing safe text and HTML display
• Investigating row height changes after rendering

Develop and modify the Handsontable wrapper for Vue 3 with guidance on component structure, settings updates, column configuration, and shared data references. It also explains the build order and tests used to check wrapper changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix settings updates in the Vue 3 wrapper
• Modify per-column configuration
• Investigate how array changes reach the grid

Assess how changes, failures, or paused updates to a BigQuery table or view affect downstream assets. Trace data lineage, the relationships showing where data flows, and summarize dependent tables, dashboards, and processes with direct and indirect impacts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess downstream effects of a table failure
• Check dependencies before changing or deleting a view
• Evaluate the impact of pausing data updates

Guides Java SDK development in Apache Beam, from finding relevant modules to building code, running focused tests, and trying examples. Also explains how to publish modified modules locally and build SDK containers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the Java SDK module to modify
• Running a specific test class or method
• Checking setup with the WordCount example

Build Android interfaces in Expo using Jetpack Compose components and modifiers, which control layout and appearance. The skill guides component selection, sizing, scrollable lists, and XML icons for SDK 55.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add native Android UI components to an Expo app
• Build a scrollable list with LazyColumn
• Display Android XML vector icons