1,473 件 ・ 関連度順
概要と使いどころ
Provides GDPR Article 14 information for personal data obtained from sources other than the data subject, covering timing requirements (within reasonable period, max one month), source disclosure, all required elements, and exemptions under Art. 14(5). Activate for Art. 14, indirect collection, third-party data source, indirect data notice queries.
日本語の概要は準備中です。原文の説明を表示しています。
Guides continuous privacy compliance monitoring implementation including automated control testing, evidence collection automation, real-time compliance dashboards, alert-based remediation workflows, regulatory change integration, and deviation management. Covers GRC platform configuration, control framework mapping, and compliance-as-code approaches. Keywords: continuous compliance, automated monitoring, evidence collection, dashboard, regulatory change, compliance-as-code.
日本語の概要は準備中です。原文の説明を表示しています。
Guides privacy audit evidence collection processes including evidence planning, sampling strategies, documentation standards, chain of custody, interview techniques, system walkthrough procedures, and evidence evaluation. Covers ISO 19011 evidence categories (records, statements of fact, observations) and ISACA audit evidence requirements for privacy compliance assessments. Keywords: audit evidence, evidence collection, sampling, chain of custody, audit documentation, interview techniques.
日本語の概要は準備中です。原文の説明を表示しています。
CesiumJS primitives and geometry - Primitive, GeometryInstance, Appearance, BufferPrimitive collections, GeoJsonPrimitive, Billboard/Label/PointPrimitive collections, built-in geometry shapes, ground primitives, classification. Use when rendering performance-critical static or vector geometry, loading GeoJSON without entities, creating custom shapes, batching draw calls, or using low-level collections.
日本語の概要は準備中です。原文の説明を表示しています。
Tests and debugs APIs with Bruno, the open-source API client that keeps collections as plain files in a Git repository. Use when a user asks to create API requests, organize collections, write test scripts, use environments and variables, run a collection from the terminal or CI with the bru CLI, or collaborate on API workflows stored in Git.
日本語の概要は準備中です。原文の説明を表示しています。
Manages a Zotero academic reference library through both the local API (localhost:23119, read-only) and the Web API (api.zotero.org, read-write), using a structured collection hierarchy (Inbox / Active Projects / Background / Reading Queue / Archive / Meta) plus project, status, priority, and type tags. Handles adding papers with full metadata, deduplication, attaching provenance notes, moving items between collections, updating tags after reading, listing the prioritized reading queue, and setting up the literature scaffold for a new project. Use when the user asks to add / save / file / organize a paper in Zotero, check / list / clean up the reading queue, move papers between collections, tag papers for a project, query their library ("what do I have on X?"), or set up Zotero for a new research project.
日本語の概要は準備中です。原文の説明を表示しています。
Query OpenSea marketplace data via the official CLI, SDK, MCP server, or shell scripts. Get floor prices, collection stats, NFT details, token data, trending collections, drops, events, search, favorites, profile and collection settings, and other wallet-scoped operations. For trading use opensea-marketplace, for token swaps use opensea-swaps.
日本語の概要は準備中です。原文の説明を表示しています。
ai_plc_collection - AI-PLC Stage 1。Execution Contextを確立し、外部・内部情報源からコンテキストを収集・構造化する。
【実験版・Jev監視つき】ai_plc_collection - AI-PLC Stage 1。Execution Contextを確立し、外部・内部情報源からコンテキストを収集・構造化する。
AI-PLC Stage 1 Collection。GoalとModeからExecution Contextを確立し、Context Store、intent.yaml、context.yaml、backlog.yamlを生成する。
Hunts for pre-exfiltration data staging and archiving by detecting archive-tool execution (rar, 7z, zip, tar), large compressed files written to staging directories, and collection into a single location before transfer. Activates for requests to hunt data staging, detect pre-exfil archiving, or find collection and compression before exfiltration.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when designing the FSC client onboarding process — mapping document collection touchpoints, approval steps, compliance checkpoint sequencing, and welcome journey handoffs. Trigger keywords: client onboarding design, onboarding workflow requirements, document collection flow, compliance checkpoint, welcome journey, intake process design. NOT for configuring the Action Plan template itself — use admin/fsc-action-plans. NOT for OmniScript screen and branching requirements — use admin/omniscript-flow-design-requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Render a crouton collection schema (the field-definition JSON) into a human-readable field table + relationships sketch (HTML + PNG + a terse Markdown table), so a human can sign off on the DATA MODEL before any code is generated. Use when an agent drafts or changes a collection schema (before `crouton config` / `generate_collection`), or when asked to "review a schema", "show the data model", "check these fields".
日本語の概要は準備中です。原文の説明を表示しています。
Generates Insomnia collection export files from Express, Next.js, Fastify, or other API routes. Creates organized workspaces with request groups, environments, and authentication. Use when users request "generate insomnia collection", "export to insomnia", "create insomnia workspace", or "insomnia import".
日本語の概要は準備中です。原文の説明を表示しています。
Automated API testing with Postman collections via Newman CLI. Use when user requests API testing, collection execution, automated testing, CI/CD integration, or mentions "Postman", "Newman", "API tests", "run collection", or "automated testing".
日本語の概要は準備中です。原文の説明を表示しています。
覚えたい事実を質問と答えのカードにし、回答に応じた間隔で復習できます。YouTube動画からのクイズ作成や、分野別の整理、CSVの入出力にも対応します。
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
日本語の概要は準備中です。原文の説明を表示しています。
Compile one or more OpenViking knowledge bases or document collections into topic-organized, evidence-grounded high-level knowledge, including cross-source findings, trends, changes, drivers, comparisons, implications, and uncertainties. Use with ov compile when the user asks to distill or synthesize a knowledge base, compare multiple collections, or derive higher-order insights such as changes across financial reports; do not use for document-by-document summaries.
日本語の概要は準備中です。原文の説明を表示しています。
Detect malicious inbox/mail-flow forwarding rules that adversaries create to maintain persistent access to email communications for intelligence collection and business email compromise. Use when hunting for suspicious auto-forwarding, hidden mailbox rules, or T1114-style email collection persistence after a compromised account or BEC incident.
日本語の概要は準備中です。原文の説明を表示しています。
Systematically collects, categorizes, and distributes indicators of compromise (IOCs) during and after security incidents to enable detection, blocking, and threat intelligence sharing. Covers network, host, email, and behavioral indicators using STIX/TAXII formats and threat intelligence platforms. Activates for requests involving IOC collection, indicator extraction, threat indicator sharing, compromise indicators, STIX export, or IOC enrichment.
日本語の概要は準備中です。原文の説明を表示しています。
A comprehensive collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact CELLxGENE Discover API requests for public collection and dataset metadata. Use when a user wants concise single-cell collection summaries
日本語の概要は準備中です。原文の説明を表示しています。
Run competitive research like an intelligence agency: eight collection disciplines (OSINT to MASINT), signal-to-inference chains, and fusion. Use when one-source research isn't enough.
日本語の概要は準備中です。原文の説明を表示しています。
Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing → performance tracking. Use when user mentions xiaohongshu auto posting, xhs auto post, little red book posting, xiaohongshu post, xiaohongshu auto posting, xiaohongshu content operations, xhs content marketing, post to xiaohongshu, publish on xhs, post on xiaohongshu, xiaohongshu promotion, xiaohongshu operations, xiaohongshu automation, xhs automation, track xhs performance, track xiaohongshu performance, xiaohongshu data tracking, xiaohongshu analytics, switch xhs account, update xhs keywords.
日本語の概要は準備中です。原文の説明を表示しています。