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Generate/create/scaffold azure-pipelines.yml, stages, jobs, steps, or reusable templates.

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。

Generate/create Loki configs — ingester, querier, compactor, ruler, S3/GCS/Azure backends.

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。

Validate, lint, audit, or dry-run Kubernetes manifests (Deployment, Service, ConfigMap, CRD).

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。

Generate/create/scaffold Jenkinsfile — declarative, scripted, shared library, CI/CD pipelines.

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。

Generate/create/scaffold Kubernetes YAML — Deployment, Service, ConfigMap, Ingress, RBAC, StatefulSet, CRDs.

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。

Validate, lint, audit, or plan Terraform/.tf/HCL files; runs tflint, checkov, terraform validate.

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。

Diagnose and fix Kubernetes pods, CrashLoopBackOff, Pending, DNS, networking, storage, and rollout failures with kubectl.

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。

Create, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.

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。

Create, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs.

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。

Validate, lint, audit, or scan a Dockerfile for security and best practices.

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。

Analyzes an existing codebase using strategic Domain-Driven Design to discover bounded contexts, surface ubiquitous language and semantic collisions, find places where code boundaries diverge from domain boundaries, and produce an evidence-backed domain and context map. Use when the goal is DDD-specific: bounded context discovery, ubiquitous language analysis, domain model discovery, or mapping contested ownership and responsibility. The entire repository is a valid scope; no module or directory must be named first. Does not assess architectural coupling, cohesion, or technical debt — use architectural-analysis. Does not design service communication, integration patterns, or deployment topology — use architectural-analysis or plan-a-feature. Does not refactor code, diagnose bugs, or review code quality — use refactor, investigate, or code-review.

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。

Tracks and monitors US state privacy legislation across all 50 states, DC, and territories. Covers enacted comprehensive privacy laws (California CCPA/CPRA, Virginia VCDPA, Colorado CPA, Connecticut CTDPA, Utah UCPA, and subsequent enactments), pending bills, effective dates, and key requirement differences. Keywords: state privacy law, CCPA, CPRA, VCDPA, CPA, CTDPA, UCPA, multi-state.

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。

US state privacy law applicability assessment tool. Evaluates revenue thresholds, data volume thresholds, business exemptions (GLBA, HIPAA, nonprofits), employee data carve-outs, and SBA small business determinations across all enacted state privacy laws.

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。

Maps the US federal privacy landscape including sectoral laws (HIPAA, GLBA, FERPA, COPPA, FCRA, ECPA, VPPA), FTC Section 5 enforcement, proposed federal comprehensive legislation, and the interaction between federal and state privacy regimes. Keywords: federal privacy, HIPAA, GLBA, FERPA, COPPA, FCRA, FTC, sectoral, preemption.

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。

GDPR Article 28(2) sub-processor approval workflow management. Covers prior specific and general authorization mechanisms, change notification procedures, objection windows, flow-down obligation enforcement, and sub-processor chain risk monitoring.

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。

Ongoing vendor privacy compliance monitoring program. Covers annual reassessment procedures, continuous monitoring signals, contract renewal privacy triggers, performance metrics, KPIs, and vendor governance reporting dashboards.

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。

SaaS vendor data processing inventory management. Covers shadow IT discovery, API-based data flow detection, processing purpose mapping, contract status tracking, and continuous inventory reconciliation for cloud service providers.

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。

Build automated PII detection and redaction pipelines using spaCy NER, Microsoft Presidio, and AWS Macie integration. Includes confidence scoring, custom entity type definitions, batch processing workflows, and multi-format document scanning for structured and unstructured data 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。

Conducts Privacy Impact Assessment for large-scale systematic monitoring under GDPR Article 35(3)(c). Covers CCTV and video surveillance, employee monitoring, location tracking, internet monitoring, and behavioural analytics. Applies EDPB WP248rev.01 criteria for systematic monitoring of publicly accessible areas. Keywords: DPIA, large-scale monitoring, CCTV, employee monitoring, systematic monitoring, surveillance, location tracking.

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。

Implement the NIST Privacy Framework GOVERN function covering GV.AT awareness and training, GV.MT monitoring and review, GV.PO policy development, and GV.RR roles and responsibilities. Provides governance structure templates, training programs, and accountability frameworks for privacy governance.

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。

Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Applies proportionality principles, transparency requirements, and evaluates less intrusive alternatives per EDPB and national DPA guidance. Keywords: remote work, monitoring, screen capture, productivity tracking, webcam, home office, hybrid work, proportionality, surveillance.

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 law change monitoring and impact assessment for multi-jurisdiction organisations. Covers regulatory tracking sources, change classification, impact scoring methodology, and implementation prioritisation. Keywords: law monitoring, regulatory tracking, change management, impact assessment, implementation priority.

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 Privacy Impact Assessment for vendor and third-party data processing arrangements. Covers processor due diligence, Data Processing Agreement (DPA) requirements under GDPR Article 28, sub-processor management, cross-border vendor transfers, cloud service provider assessments, and ongoing vendor monitoring. Keywords: vendor PIA, processor assessment, DPA, Article 28, sub-processor, cloud privacy, third-party risk.

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 legal hold and data preservation processes including triggering events, custodian notification, hold-in-place technical implementation, release procedures, and interaction with retention schedules. Covers litigation hold registers, compliance monitoring, and Art. 17(3)(e) exception documentation. Activate for legal hold, litigation preservation, data freeze, e-discovery hold 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。