3,725 件 ・ 関連度順
概要と使いどころ
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
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。
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
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。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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 exposing Spring Boot 4 application capabilities through Model Context Protocol tools, resources, or prompts. Covers Spring AI 2.0 MCP annotations, transport selection, schemas, errors, security, and the standalone MCP Java SDK 2.x.
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 generating JPA entities, repositories, queries, or anything touching the persistence layer. Covers entity conventions, N+1 prevention, projections, and query patterns.
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 exposing Spring Boot 3 application capabilities through Model Context Protocol tools, resources, or prompts. Covers Spring AI 1.x tool callback registration, transports, schemas, errors, security, and standalone MCP Java SDK compatibility.
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 generating or refactoring Spring Boot 4 JPA entities, repositories, queries, projections, persistence tests, entity relationships, embeddables, IDs, or Hibernate mappings. Covers Jakarta Persistence 3.2 imports, Hibernate 7 entity modeling, new-state detection, N+1 prevention, projections, keyset pagination, batch writes, and common agent mistakes.
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 introducing or correcting grouped Spring Boot configuration, typed property binding, validation, profiles or secret injection. Do not rewrite unrelated single-value configuration.
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 retention impact assessments for new processing activities to determine appropriate data retention periods. Covers regulatory requirements scanning, proportionality review, purpose-based retention determination, and retention period documentation aligned with GDPR Article 5(1)(e) and Article 25 data protection by design. Activate for retention assessment, new processing retention, retention period determination 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 the Art. 36 prior consultation process when a DPIA indicates high residual risk that cannot be mitigated. Covers required documentation per Art. 36(3), the 8-week DPA response timeline, outcome management, and interaction protocols with supervisory authorities. Keywords: prior consultation, Art. 36, supervisory authority, DPA, high residual risk, DPIA escalation, consultation 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。
Manages responses to regulatory complaints lodged with supervisory authorities under GDPR Article 77, covering internal escalation procedures, DPA response coordination, remediation tracking, and compliance documentation. Activate for regulatory complaint, supervisory authority complaint, Art. 77, DPA response, ICO complaint 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。
Implement privacy-preserving record linkage across datasets using Bloom filter encoding, secure hash matching, threshold tuning for precision and recall, and false positive management. Enables entity resolution without exposing raw personally identifiable information between parties.
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 the Privacy Threshold Analysis screening process to determine whether a full DPIA is required. Provides a quick-screen questionnaire, threshold criteria based on WP248rev.01, escalation triggers, and documentation requirements. Activate when evaluating new processing activities, system changes, or procurement decisions. Keywords: PTA, privacy threshold analysis, DPIA screening, quick-screen, threshold criteria, WP248, escalation triggers.
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。
Integrates Records of Processing Activities with privacy management platforms including OneTrust, TrustArc, Collibra, and DataGrail. Covers API-based synchronization, data mapping import, and automated RoPA population from enterprise tools. Activate for RoPA tool setup, OneTrust integration, TrustArc sync, privacy platform configuration.
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。
Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI. Provides completeness scoring, gap identification, and remediation tracking. Activate for RoPA audit, completeness check, supervisory authority readiness, CNIL template, ICO template, BfDI template, gap analysis.
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 GDPR Article 30(2) Records of Processing Activities for data processors with all four mandatory fields: processor and controller names and contact details, categories of processing, third country transfers, and security measures description. Activate for processor RoPA, Art. 30(2), processor records, sub-processor 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。
Guides the establishment and management of joint controller arrangements under GDPR Article 26, including determination of joint controllership, allocation of responsibilities, and transparency obligations. Activate when two or more controllers jointly determine purposes and means of processing, or when evaluating shared data platforms. Keywords: joint controller, Article 26, shared responsibility, arrangement, joint determination.
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。
Implements HIPAA Privacy Rule requirements under 45 CFR §164.500-534 for covered entities and business associates. Covers minimum necessary standard, treatment-payment-operations exceptions, directory opt-out, personal representative rules, and authorization requirements. Keywords: HIPAA Privacy Rule, PHI, minimum necessary, TPO, authorization, covered entity.
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 cooperation with GDPR supervisory authorities under Article 31, including procedures for responding to investigations, information requests, and on-site inspections. Covers controller and processor obligations during supervisory authority interactions. Keywords: supervisory authority, Article 31, cooperation, DPA investigation, information request, inspection.
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 appointment of GDPR Article 27 EU representative for non-EU controllers or processors. Covers criteria, responsibilities, and documentation. Activate when a non-EU entity processes EU data. Keywords: EU representative, Article 27, non-EU controller, territorial scope.
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 EU Code of Conduct adherence under GDPR Articles 40-41 including EDPB approval requirements, monitoring body accreditation, code drafting, adherence declaration, compliance verification, and complaint handling. Covers sector-specific codes, transnational codes, and Art. 40(3) approval by supervisory authorities. Keywords: code of conduct, Article 40, Article 41, EDPB, monitoring body, adherence.
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 implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs. Activate when establishing or reviewing accountability measures, preparing evidence portfolios, or demonstrating compliance to supervisory authorities. Keywords: accountability, Article 5(2), Article 24, documentation, compliance evidence, 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。
Guides the GDPR Article 36 prior consultation process with supervisory authorities when a DPIA indicates high residual risk. Covers timeline requirements, documentation, and outcome handling. Activate when DPIA residual risk remains high or when preparing regulatory submissions. Keywords: prior consultation, Article 36, DPIA, high risk, supervisory authority.
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。
Implements BYOD privacy compliance frameworks for personal device use in the workplace. Covers personal vs corporate data separation, MDM capabilities and limitations, employee consent requirements, data wiping boundaries, and monitoring restrictions on personal devices. Keywords: BYOD, mobile device management, MDM, personal device, data separation, containerisation, remote wipe, employee privacy.
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。