1.7천건 · 관련도순
Draft self-assessments, peer reviews, and feedback for managers using concrete examples of work and collaboration. Organizes achievements around context, actions, and results, matches your writing voice, and flags sections that need more evidence or detail.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Organize EU AI Act compliance work with references to Articles and Annexes. Classify AI systems by risk, plan conformity assessments that check regulatory requirements, prepare technical documentation checklists, and map obligations and deadlines to organizational roles.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Implement Mamba, a model architecture that processes sequences through an internal state with computation scaling linearly with input length. Covers pretrained text generation, Mamba-1 and Mamba-2 configuration, speed comparisons with Transformers, and GPU memory troubleshooting.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create a detailed legal risk assessment for a feature that needs closer review. Describe potential harm, likelihood, severity, and safeguards, then compare practical options and recommend a path in a standalone document for decisionmakers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an assessment, review findings, or understand failure modes, or has a specific finding and asks how to resolve, remediate, or fix it. Does not apply to initial setup (use resilience-hub-getting-started) or FIS experiments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designing quizzes, personality assessments, and recommendation tools that segment users into actionable categories rather than generating clicks for clicks' sake. Question architecture, scoring algorithms, result categorization, recommendation mapping, lead capture integration. Honest about clickbait-quiz (engagement only), vanity-result (entertaining, not useful), and actionable-segmentation (genuine categorization that drives next-step recommendations) patterns. Triggers on quiz, assessment, personality test, recommendation tool, scorecard, diagnostic, fit evaluator, what-type-of-X-are-you, persona quiz. Also triggers when an audience needs a categorization-driven lead magnet, when a vanity quiz is producing engagement but no qualified leads, or when an assessment is being scoped for the first time.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design formative assessments that make students' historical thinking visible — revealing whether they source, close-read, contextualise, and corroborate. Use when assessing historical thinking skills or planning a diagnostic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit a proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GDPR Legitimate Interest Assessment (LIA) — Guided assessment for Art. 6(1)(f) GDPR using the EDPB three-step test. Based on EDPB Guidelines 1/2024, EDPB Opinion 28/2024 (AI models), the OSS Case Digest on Legitimate Interest (McIntyre 2026), CNIL AI guidance (June 2025), ICO guidance, and key CJEU case law. Use when: (1) user needs to assess whether legitimate interest is appropriate, (2) user asks about Art. 6(1)(f), "Interessenabwägung", "berechtigtes Interesse", "balancing test", or "LIA", (3) user wants to document a legitimate interest assessment, (4) user mentions the three-step test, (5) user evaluates necessity or proportionality under Art. 6(1)(f), (6) user discusses direct marketing, fraud prevention, IT security, employee monitoring, AI training, web scraping, or credit checks in context of legal basis, (7) user handles a right to object (Art. 21), (8) user asks about children's data, profiling, or cross-border data sharing under legitimate interest, (9) user compares legitimate interest against other legal bases. Do NOT use for: consent assessments (Art. 6(1)(a)), contract performance (Art. 6(1)(b)), DPIA workflows, or pure ePrivacy/cookie compliance questions — though the skill does address the ePrivacy/GDPR overlap where relevant.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fast 15-25 minute triage for preliminary EU AI Act classification and compliance assessment. This skill should be used when the user asks to "do a quick AI Act assessment", "check if the AI Act applies to us", "run a preliminary classification", "do an AI Act triage", "quick check", "preliminary assessment", "Schnellprüfung", "Ersteinschätzung", or needs a fast initial assessment before committing to full analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers assessment of third country legal frameworks, supplementary measures evaluation, and TIA scoring. Activate for international data transfers, SCCs, third-country adequacy, or Chapter V compliance. Keywords: TIA, Schrems II, transfer assessment, EDPB, supplementary measures, SCCs, international transfer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides privacy program maturity assessment using the AICPA/CIPT Privacy Maturity Model with five levels: Ad Hoc, Repeating, Defined, Managed, and Optimized. Covers assessment methodology across ten privacy domains, scoring criteria, gap analysis, maturity roadmap generation, and benchmarking against industry peers. Keywords: privacy maturity, AICPA, maturity model, assessment, roadmap, benchmarking.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides systematic assessment of current state versus GDPR requirements across all chapters with prioritised remediation matrix. Activate when starting compliance programmes or conducting periodic reassessment. Keywords: gap analysis, compliance assessment, remediation matrix, GDPR readiness.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guides the end-to-end GDPR Data Protection Impact Assessment process under Article 35, including mandatory trigger identification per Art. 35(3), DPIA content requirements per Art. 35(7), and EDPB WP248rev.01 methodology. Activate for systematic profiling, large-scale special category processing, or large-scale public monitoring. Keywords: DPIA, Article 35, impact assessment, WP248, data protection, risk assessment.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing. Covers training data lawfulness evaluation, model risk assessment, automated decision triggers, and AI-specific DPIA methodology. Keywords: AI DPIA, machine learning impact assessment, EDPB AI guidelines, model risk, training data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design formative assessments that make students' historical thinking visible — revealing whether they source, close-read, contextualise, and corroborate. Use when assessing historical thinking skills or planning a diagnostic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit a proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Perform a Computer Systems Validation (CSV) assessment following GAMP 5 methodology. Covers user requirements, risk assessment, IQ/OQ/PQ planning, traceability matrix creation, and validation summary reporting. Use when a new computerized system is being introduced in a GxP environment, when an existing validated system is undergoing significant change, when periodic revalidation is required, or when a regulatory inspection demands a validation gap analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Drafts a BSA/AML Risk Assessment for U.S. financial institutions per FinCEN, FFIEC, and OCC standards. Evaluates inherent risks (customer, product, geographic, transaction, third-party), control adequacy, and residual risk. Use when preparing annual BSA compliance assessments, post-acquisition integration reviews, or when business changes trigger reassessment under 31 U.S.C. § 5318(h).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ESG(環境・社会・ガバナンス)レポート作成支援スキル。GRI、SASB、TCFD、CDP等の国際基準に準拠した サステナビリティレポート作成、マテリアリティ分析、KPI設定、データ収集・開示をサポート。 Use when creating sustainability reports, conducting materiality assessments, setting ESG targets, or preparing disclosures aligned with GRI, SASB, TCFD, CDP, or CSRD standards. Triggers: "ESG report", "sustainability report", "TCFD", "GRI", "SASB", "CDP", "materiality assessment", "carbon footprint".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.