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概要と使いどころ
Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.
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。
Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune detection logic for reducing false positives.
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。
Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
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。
Collects and synthesizes open-source intelligence (OSINT) about threat actors, malicious infrastructure, and attack campaigns using publicly available data sources, passive reconnaissance tools, and dark web monitoring. Use when investigating external threat actor infrastructure, performing pre-engagement reconnaissance for authorized red team assessments, or enriching CTI reports with publicly available adversary context. Activates for requests involving Maltego, Shodan, OSINT framework, SpiderFoot, or infrastructure reconnaissance.
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。
Deploy MISP (Malware Information Sharing Platform) to aggregate, correlate, and distribute threat intelligence feeds from multiple sources for centralized IOC management and automated SIEM integration.
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 when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration
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。
Route requests for current library, framework, SDK, API, CLI, or cloud-service documentation through available documentation tools and primary sources.
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。
Unified document optimization skill that chains docling-converter, imagemagick-expert, and markdown-to-pdf. Automatically detects input format, applies appropriate conversion pipeline, optimizes embedded images, and produces web/print-ready output with configurable quality presets. Use when converting documents through multi-step pipelines, optimizing PDF images, creating print-ready documents from various sources, or batch processing documents with image optimization.
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。
Interactively build a Narrative identity graph workflow from one or more first-party datasets and (optionally) third-party data sources. Confirms each input dataset is mapped to the Rosetta Stone graph edge attribute (mapping it via /generate-rosetta-stone-mappings if not), then composes and submits a workflow that unions every edge source and labels connected components. Use when: "build an identity graph", "generate an identity graph", "create an identity graph", "stitch these datasets into a graph", "make a graph workflow", "label connected components on these datasets", "I want a person graph / household graph / device graph". (narrative-identity)
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。
Publish or refresh one or a few free-AI-credit offers from screenshots or text — official sources win, unverifiable offers dropped, validates, diffs, commits on approval. Don't use for catalog-wide re-checks, scraping, or bulk imports.
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。
Re-verify active offers vs official sources, fix drifted terms, refresh evidence, then issue, PR, review, merge unattended; report-only/no-merge modes. Use for daily checks or stale-content issues. Don't use for adding or editing one offer, or CI.
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。
Review storage placement across framework global data, workspace data, host state, sidecars, caches, vaults, and external sources.
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。
Update docs, playbooks, shims, generated docs, and alignment checks so public instructions route to the right canonical sources.
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。
Load when creating, updating, auditing, simplifying, routing, or validating `.agents/skills/*`, `SKILL.md` descriptions/resources, the skill schema, or skill-related agent context tests; not for ordinary application code or generic documentation.
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。
Synthesized reference notes from three US Government vehicle-safety sources: NHTSA Cybersecurity Best Practices for the Safety of Modern Vehicles (updated 2022, final), NHTSA Automated Driving Systems 2.0: A Vision for Safety (2017), and a 16-section selection of 49 CFR Part 571 (FMVSS) pinned at eCFR versioner date 2025-01-01. Use for voluntary vehicle cybersecurity practices, the ADS 2.0 twelve priority safety design elements, and FMVSS occupant protection, brakes/stability/lighting, and fuel/EV integrity requirements. Not ISO 26262, not ASPICE, not ISO/SAE 21434, not UNECE R155/R156, not SAE J3016, and not the full Part 571; the FMVSS material is a selection of vehicle-level minimum performance standards, not a process standard.
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Knowledge base from the SD-22 DMSMS Guidebook (DSPO, FY24 working draft). Use for managing Diminished Manufacturing Sources and Material Shortages (DMSMS) and obsolescence across a long-lived system's life cycle: the five-step process (Prepare, Identify, Assess, Analyze, Implement) plus the Strategize overlay; standing up a DMSMS Management Team (DMT) and Management Plan (DMP); risk-based monitoring and surveillance (the risk cube, predictive tools, vendor surveys, GIDEP/DLA PDNs, critical-materials analysis); health assessments and resolution timing; costing and selecting resolutions (life-of-need buys, substitutes, redesign, technology refreshment) by AoA/BCA; and budgeting/executing resolutions through modification funding and the ECP process. Defense-sustainment / DoD-acquisition framing throughout. Does NOT teach general systems engineering, parts-management standards, or contracting law in depth, and does not reproduce DoD policy text or the source's tables and figures.
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ドゥ・シェーザーとバーグによる解決志向ブリーフセラピー（SFBT）：ミラクル・クエスチョン、例外の探索、スケーリング、リソースの活性化。
Ориентированная на решение краткосрочная терапия по де Шейзеру и Берг: Чудо-вопрос, исследование исключений, шкалирование, активация ресурсов.
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。
德·沙泽尔与伯格的焦点解决短期心理治疗（SFBT）：奇迹提问、例外探索、评定量表、资源激活。
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。
Terapia Breve Centrada en Soluciones según de Shazer y Berg: Pregunta del milagro, exploración de excepciones, escalamiento, activación de recursos.
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。
Solution-Focused Brief Therapy according to de Shazer and Berg: Miracle question, exception exploration, scaling, resource activation.
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。
Genogram work: Recognizing and reflecting on family relationship patterns. Multigenerational perspective, genogram symbols, pattern recognition, and resources in family history.
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。
Fetch video transcripts (subtitles) and metadata from online video sources and output them as Markdown, JSON, or plain text. Currently supported: YouTube. Prefers manually created subtitles, falls back to auto-generated ones.
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。
Creates a personalised daily newspaper from RSS feeds and web sources. Ported from the BACH news system (news.py + newspaper_generator.py). Own SQLite store (no Origin-DB). feedparser optional — XML fallback via stdlib. PDF export via Edge Headless (msedge.exe).
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。