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cccskills

「healthcare」の検索結果

131 件 ・ 関連度順

概要と使いどころ

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

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。

lucaspmarie-a11y/claude-skills-vault52026年6月7日 更新

Implements AWS Nitro Enclave-based confidential computing environments with cryptographic attestation, KMS policy integration using PCR-based condition keys, and secure vsock communication channels. The practitioner builds enclave images, configures attestation-aware KMS policies, validates attestation documents against the AWS Nitro PKI root of trust, and establishes isolated computation pipelines for processing sensitive data such as PII, cryptographic keys, and healthcare records. Activate...

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。

MustafaKemal0146/fetih52026年10月11日 更新

Apply HIPAA-compliant security practices for Abridge clinical AI integrations. Use when securing PHI in transit/at rest, configuring access controls, implementing audit logging, or preparing for HIPAA security audits. Trigger: "abridge security", "abridge HIPAA", "abridge PHI protection", "abridge access control", "abridge audit logging".

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。

aibot88/sec_skill_store42026年5月27日 更新

Book reservations through Google Maps using browser automation. Searches for businesses, checks availability, and completes bookings via "Reserve with Google" or 3rd-party providers (OpenTable, Resy, Vagaro). Supports restaurants (primary), salons, fitness, healthcare. Use when user wants to book, reserve, or schedule at a business found on Google Maps.

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。

koala73/reservewithgoogle-skill42026年2月2日 更新

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

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。

phoroth/AGENTIC32026年8月8日 更新

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

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。

nimoqup046-collab/agora32026年3月26日 更新

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

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。

MMEHDI0606/ai-agent-foundation-template22026年5月21日 更新

ads

無料

Comprehensive ad account analysis across all major platforms (Google, Meta Comprehensive paid advertising audit and optimization for any business type. Performs full multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), single-platform deep analysis, conversion tracking health checks, creative quality assessment, budget allocation optimization, bidding strategy evaluation, and compliance verification. Industry detection for SaaS, e-commerce, local service, B2B enterprise, info products, mobile app, real estate, healthcare, finance, and agency. Triggers on: "ads", "PPC", "paid advertising", "Google Ads", "Meta Ads", "Facebook Ads", "LinkedIn Ads", "TikTok Ads", "Microsoft Ads", "Bing Ads", "ad audit", "campaign audit", "ROAS", "conversion tracking", "creative fatigue", "bid strategy".

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。

aAAaqwq/openclaw-team22026年6月18日 更新

Maxim L3 pack. Bundles: HIPAA + ISO 13485 + ISO 14971 + FHIR/HL7. Primary framework: ISO 14971 (medical-device risk management).

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。

DrNabeelKhan/maxim22026年9月17日 更新

Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For diagnostic reasoning, treatment decisions, and clinical judgment improvement. NOT for basic medical knowledge, technical procedures, or non-clinical healthcare domains.

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。

curiositech/port-daddy22026年10月12日 更新

Safety-case design for always-on agents with episodic memory. Covers data hygiene, privacy and security risk surfaces, cost controls, scope, user dependency concerns, retention, incident containment, and responsible deployment evidence. It identifies hazards and asks for named controls, tests, owners, and residual uncertainty; it does not provide legal, clinical, youth-safety, or jurisdictional determinations. Activate on: "agent safety", "always-on agent privacy", "agent cost control", "persistent agent risks", "AI companion safety", "agent data hygiene", "runaway agent costs", "parasocial AI risk", "/always-on-agent-safety". NOT for: architecture design (use always-on-agent-architecture), input design (use always-on-agent-inputs), application brainstorming (use always-on-agent-applications), healthcare compliance specifically (use hipaa-compliance).

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。

curiositech/port-daddy22026年10月12日 更新