'bulk' 검색 결과

Bulk Confluence operations on 10+ pages via the confluence-as wrapper: bulk-label / bulk-move / bulk-delete. Dry-run is MANDATORY first. Triggers: 'bulk update N pages', 'mass label', 'delete all pages matching CQL', 'bulk-move pages to PARENT'. NOT for single-page ops (mk:confluence-page); NOT for comment/attachment ops (mk:confluence-collaborate).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Bulk JIRA operations on 10+ issues via the jira-as wrapper: bulk transition / assign / set-priority / clone / delete. Dry-run is MANDATORY first. Triggers: 'bulk update N issues', 'mass transition', 'transition 50+ issues to Done', 'bulk-clone', 'bulk-delete'. NOT for single-issue ops (mk:jira-issue / mk:jira-lifecycle).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Prepare bulk RNA-seq sequencing files or quantification outputs for gene-level comparisons. Check sample information and data quality, configure processing workflows, and assemble validated count tables and metadata for downstream differential expression analysis with PyDESeq2.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing gene count tables from FASTQ files
• Configuring an nf-core/rnaseq workflow
• Combining Salmon, STAR, or featureCounts outputs

Review bulk deletions before they happen by showing affected data, recovery options, and alternatives. The skill asks for explicit user consent and records confirmed deletions, covering files and gbrain data through agent procedures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing files before a bulk cleanup
• Checking recovery options before deleting knowledge pages
• Confirming impact before dropping database tables

Plan or run bulk RNA-seq analysis to find genes whose expression differs between conditions. Check sample replication, study design, batch effects, and data quality, then produce comparison tables, diagnostic plots, and ranked gene lists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing gene expression between experimental conditions
• Planning analyses with donor pairing or batch variables
• Checking sample quality with PCA and distance plots

Plan or run bulk RNA-seq processing from sequencing reads to count matrices, tables of expression counts across samples. Check sample metadata, reference consistency, read mapping, and quantification quality, and produce summaries for downstream analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate count matrices from FASTQ files
• Check reference files and sample metadata
• Review mapping and quantification quality

Routes bulk RNA-seq requests to workflows for generating expression counts and checking quality, or comparing gene expression between groups. Checks input data, sample information, and analysis requirements before directing the next step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate expression counts from FASTQ files
• Compare gene expression between sample groups
• Plan quality checks and statistical analysis together

Hit the Cloudflare REST API directly for operations that wrangler and MCP can't handle well. Bulk DNS, custom hostnames, email routing, cache purge, WAF rules, redirect rules, zone settings, Worker routes, D1 cross-database queries, R2 bulk operations, KV bulk read/write, Vectorize queries, Queues, and fleet-wide resource audits. Produces curl commands or scripts. Triggers: 'cloudflare api', 'bulk dns', 'custom hostname', 'email routing', 'cache purge', 'waf rule', 'd1 query', 'r2 bucket', 'kv bulk', 'vectorize query', 'audit resources', 'fleet operation'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts U.S. bulk sales compliance packages for asset purchase transactions outside the ordinary course, including UCC Article 6 jurisdictional analysis, creditor schedules, notice of intended bulk sale, seller affidavit, escrow framework, and closing checklist. Use when handling bulk sale, bulk transfer, inventory sale, asset purchase compliance, creditor notice, or successor liability avoidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Archive several OpenSpec changes together after reviewing their documents and task progress. The skill checks code to resolve overlapping specification updates, syncs the selected updates, and reports which changes were archived, skipped, or failed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Archive several completed changes together
• Resolve overlapping specification updates
• Review unfinished work before archiving

Coordinate bulk contract clause extraction with Luminance or Kira, prepare loading requests, and check returned results according to your team's review settings. Assess flagged clauses against the transaction and organize findings and required consents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing bulk clause extraction requests for contract batches
• Sampling AI extraction results against original clauses
• Checking whether change-of-control clauses apply to a deal

Process multiple documents in bulk with parallel execution. Use when a user asks to batch process files, convert many documents at once, run parallel file operations, bulk rename, bulk transform, or process a directory of files concurrently. Covers parallel execution, error handling, and progress tracking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extracts structured data from large sets of legal documents into tabular format for review, analysis, and reporting. Processes contracts, agreements, correspondence, filings, and other legal documents in bulk — extracting key terms, dates, parties, obligations, risks, and custom fields into organized tables. Use when conducting due diligence document review, bulk contract extraction, compliance audits across document sets, lease portfolio analysis, employment agreement review, regulatory filing review, or any task requiring structured extraction from multiple documents. Trigger keywords: tabular review, bulk extraction, document review table, data room review, batch document analysis, contract extraction, portfolio review, structured extraction, document comparison table.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Stripe CLI の `stripe fixtures` コマンドで実行可能な fixture JSON を、対話的に整理しながら生成・検証する。test_clock を使った時間進行、サブスクのライフサイクル、失敗カードでの payment_intent 失敗、Connect 配下の Destination charge、bulk 件数のテスト顧客作成など、複数ステップの API リクエスト連鎖を扱う。「Stripe の fixture を書いて」「fixtures.json を作って」「このシナリオを fixture 化」「テストデータを大量に作りたい」「サブスクの月次失敗をテストしたい」「stripe trigger と fixture どっち使う」のような依頼で起動する。"fixture" という単語が無くても、複数ステップの Stripe テストデータ準備、 test clock を使った時間進行、 bulk なテスト顧客作成、 失敗パターンの再現といった意図が見えたら起動する。単発 API 呼び出しが目的なら起動せずに `stripe trigger` か API 1コールを案内する。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Bulk mode — maximum development speed by spending tokens aggressively on massive parallel sub-agents and multi-agent workflows, while the orchestrator context stays lean (pairs with /slim). Invoking /bulk is the user's explicit opt-in to Workflow/ultracode-style orchestration for this session. Use when the user types /bulk, asks for "爆速", "並列で大量に", "ultracode", "多エージェント", or hands over a big task where wall-clock speed matters more than token cost.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TypeScript 백엔드에서 Prisma를 사용하는 설계와 구현을 돕습니다. 구체적인 예제로 조회, 일괄 갱신, 마이그레이션, 연결 관리 방식과 주의점을 확인합니다.

• Prisma 모델과 관계 설계
• 조회와 페이지 분할 검토
• 트랜잭션과 일괄 갱신 문제 조사

Analyze single-cell RNA-seq data with Scanpy, from quality checks and normalization to cell grouping, exploratory marker genes, and plots. Bundled scripts also prepare sample-level count summaries and support conversion of R objects to h5ad.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check data quality and normalize single-cell measurements
• Visualize cell groups with UMAP or t-SNE
• Explore marker genes and review cell-type labels

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Generate concise Python examples for working with Microsoft Dataverse. Cover SDK installation, browser-based authentication, creating, reading, updating, and deleting records, plus bulk operations and retrieving results in pages using official example patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up the SDK and browser-based authentication
• Create, read, update, and delete individual records
• Create or update records in bulk

Organize human review in Arize by defining label choices, numeric ranges, or free-text feedback fields. Manage review queues and reviewers, submit annotations for individual records, and apply existing labels to project spans, or individual processing records, in bulk.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define shared labels and scoring ranges for reviewers
• Create review queues and assign reviewers
• Record feedback on individual queue items

Investigate suspected data theft from AWS S3 by comparing access logs, GuardDuty findings, and Macie classifications. Identify unusual bulk downloads and transfers across accounts, assess sensitive data exposure, and build automated detection rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unusual bulk downloads from S3
• Checking transfers to external AWS accounts
• Assessing exposure of sensitive data

Manage Microsoft 365 setup, bulk user onboarding and offboarding, licenses, and security reviews. Generate PowerShell scripts and setup plans, with workflows for checking inputs, reviewing changes, and validating results before applying them across an organization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan and configure a new Microsoft 365 environment
• Create user accounts and assign licenses in bulk
• Block departing users and prepare shared mailboxes

Develop Salesforce workflows, interface components, and integrations using Apex and Lightning Web Components. The skill guides database queries, bulk processing, platform resource limits, testing, and deployment through Salesforce DX.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating CRM tasks with Apex triggers
• Building Lightning Web Components
• Improving bulk processing and database queries

Create one editable Canva design per data row using a brand template with autofill fields. Map columns from files, pasted tables, JSON, or URLs to text and image fields, then receive design links and failure details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a design for each product
• Generate designs from CSV rows
• Fill templates with text and image URLs