「nat」の検索結果

論文投稿用の出版品質グラフ・図表を作成するメタスキル。 「論文用のグラフを作って」「Nature用の図を作成」「出版品質の可視化」等のリクエストで発動。

Verifies a package exists before install, defending against hallucination and slopsquatting. Use when adding, recommending, or installing a package.

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。

Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.

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 designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction). Covers reference standard, clinical-efficacy metrics beyond BLEU/ROUGE, hallucination, contamination and prompt sensitivity. Imaging models are /model-assessment.

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 comparing an exposure-outcome association across countries with parallel national surveys (KNHANES, NHANES, CHNS). Harmonizes variables, runs parallel weighted analyses and builds comparison tables for 2-country (KR+US) or 3-country (KR+US+CN) designs.

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 a manuscript needs a copy-edit for consistency and non-native English clarity. Flags abbreviation, US/UK spelling, en-dash range, P/p, hyphenation, number-style and unit-spacing issues, then polishes style only. AI-tell removal is /humanize.

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。

Routes AIX360 explainability tasks across local black-box attribution, counterfactuals and certification, interpretable models, time-series explanations, datasets, and explanation-quality metrics.

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 users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID， 或导出 RIS、BibTeX、NBIB、ENW；also use for multi-source academic search, citation verification, citation graphs, trial registration search, research workflows, or DeepSeek Harness academic-search MCP setup.

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 platform-native content that resonates with each community's culture. Use when adapting technical content for WeChat, Hacker News, Reddit, Medium, Twitter/X, Dev.to, or LinkedIn. Transforms generic writing into content that feels written BY that community, not AT them.

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 packaging a Spring Boot 3 application as an OCI image or GraalVM native executable. Covers buildpacks, layered images, JVM containers, AOT hints, probes, security, and verification.

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 packaging Spring Boot 4 as an OCI image, JVM container, AOT application, or GraalVM native executable. Covers buildpacks, layers, runtime hints, probes, security, and verification.

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。

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

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。

Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.

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。

The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.

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 "[Competitor] alternative" and comparison pages for developer tools. Build honest, high-converting comparison content that ranks for competitive search terms.

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 post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers destination country surveillance law assessment, European Essential Guarantees evaluation, and supplementary measures determination. Keywords: TIA, transfer impact assessment, Schrems II, EDPB recommendations, supplementary measures.

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 UK international data transfer mechanisms post-Brexit including the International Data Transfer Agreement (IDTA), UK Addendum to EU SCCs, UK adequacy assessments, and ICO transfer risk assessment tool. Keywords: UK IDTA, UK addendum, ICO TRA, post-Brexit transfers, UK GDPR.

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。

Vendor breach notification cascade management per GDPR Article 33(2). Covers processor-to-controller notification without undue delay, escalation paths, coordinated multi-party breach response, liability allocation, and regulatory notification coordination.

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 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。

Analyses the limitations on consent as a lawful basis for processing employee data under Art. 88 GDPR and WP29 Opinion 2/2017. Addresses power imbalance in employment relationships, identifies alternative lawful bases, and maps national derogations. Keywords: consent, employment, power imbalance, Art. 88, WP29, lawful basis, employee data, labour law.

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。

Evaluating and implementing cookie-less tracking alternatives for a post-cookie era. Covers the Privacy Sandbox APIs (Topics, Attribution Reporting, Protected Audiences), server-side analytics, and privacy-preserving measurement 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。

Assesses AI bias risks for GDPR Art. 9 special category data and AI Act Art. 10 data governance. Covers fairness metrics, bias detection methods, mitigation strategies, and documentation requirements for protected characteristics. Keywords: AI bias, special category, fairness metrics, discrimination, Art. 9, Art. 10.

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。

Surfaces Han's shared Human-Readable Output Standard — the readability rule and the writing-voice profile — into the calling skill's own context, so the caller drafts in voice and runs its self-check against the current standard sourced from one canonical copy. Use when a prose-producing skill needs the shared readability standard available in context before it drafts. Governs the shape of a written deliverable, where explanation-guidance governs what a run says to a person in a turn. Runs in the caller's context and hands control straight back; it does not produce a deliverable of its own, rewrite anything, or judge the caller's work. Does not run the adversarial rewrite pass — dispatch the readability-editor agent for that, or use edit-for-readability to rewrite an existing target. Does not cover explaining technical work to a reader who will not implement it — use explanation-guidance for that.

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。