You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
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。
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概要と使いどころ
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
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。
Run internal compliance audits against major governance and security frameworks, highlighting gaps, risks, and remediation priorities.
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。
Captures clause risks, compliance gaps, precedent shifts, contract deviations, regulatory changes, and litigation exposure to enable continuous legal operations improvement. Use when: (1) An unfavorable clause is accepted or slips through review, (2) A compliance deadline is missed or approaching, (3) A new regulation impacts the organization, (4) A contract remains unsigned past SLA, (5) An IP infringement notice is received, (6) New case law changes interpretation in a relevant jurisdiction, (7) A data subject access request reveals process gaps.
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。
Audit GDPR compliance, generate privacy policies, and document data flows. Use when auditing practices, drafting policies, or checking consent flows.
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。
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices. Design comprehensive SLO frameworks, establish meaningful SLIs, and create monitoring systems that balance reliability with feature velocity.
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。
Draft privacy policies, terms of service, disclaimers, and legal notices. Creates GDPR-compliant texts, cookie policies, and data processing agreements. Use PROACTIVELY for legal documentation, compliance texts, or regulatory requirements.
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。
Design and enforce privacy and data protection controls across application, API, and database layers. Use when tasks involve PII handling, retention/deletion policies, consent, data minimization, auditability, or compliance-oriented architecture changes.
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。
Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework. Covers preparation, detection, containment, eradication, recovery, and post-incident phases with actionable checklists. Activates for requests involving ransomware response planning, CISA compliance, incident response playbook creation, or ransomware preparedness 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。
This skill details how to conduct cloud security audits using Center for Internet Security benchmarks for AWS, Azure, and GCP. It covers interpreting CIS Foundations Benchmark controls, running automated assessments with tools like Prowler and ScoutSuite, remediating failed controls, and maintaining continuous compliance monitoring against CIS v5 for AWS, v4 for Azure, and v4 for GCP.
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。
Plans and implements data retention policies with archival strategies, compliance requirements, automated cleanup jobs, and cold storage migration. Use for "data retention", "data archival", "GDPR compliance", or "storage optimization".
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。
Offensive methodology for attacking GraphQL APIs during penetration tests and bug bounty engagements. Covers the full attack lifecycle: endpoint discovery, introspection abuse and blind schema reconstruction when introspection is disabled, authentication and authorization bypass through Relay node IDs and nested object traversal, injection via variables and directives, query batching for brute force and OTP bypass, denial of service through depth bombs and alias amplification, WebSocket subscription hijacking, information disclosure through verbose errors and field suggestion oracles, and file upload abuse via the multipart GraphQL specification. Includes tool-specific guidance for InQL, graphql-cop, CrackQL, BatchQL, Altair, GraphQL Voyager, and clairvoyance. Trigger on: GraphQL, graphql, introspection query, batching attack, query depth, GraphQL injection, GraphQL IDOR, field suggestion, GraphQL auth bypass, GraphQL DoS, GraphQL security, graphql-cop, InQL, CrackQL, BatchQL, Relay node, alias amplificat...
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。
External SSL VPN / remote-access appliance attack matrix — Cisco ASA/AnyConnect, Fortinet FortiGate/FortiOS, Citrix NetScaler/ADC, Palo Alto GlobalProtect, Pulse Secure / Ivanti Connect Secure, SonicWall, F5 Big-IP. Covers version fingerprinting, CVE matrix (2018-2026), AAA backend identification, default credentials, configuration-disclosure paths, pre-auth RCE/SSRF/path-traversal exploits where applicable. Built from authorized-engagement Cisco ASA testing plus 2024-2026 enterprise VPN CVE landscape. Use whenever the target's perimeter exposes any SSL VPN appliance or remote-access gateway — these are the most common initial-access points in 2024-2026 actor TTPs.
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。
Control LG smart appliances via ThinQ API. Use when user asks about their fridge, washer, dryer, AC, or other LG appliances. Supports checking status, changing temperature, toggling modes (express, eco), and monitoring door status.
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。
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
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。
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
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。
Node.jsの処理を途中で止め、変数や実行経路を調べるスキル。非同期処理の停止、不安定なテスト、メモリ増加、CPU負荷の原因調査に使えます。
指定したコミットやブランチなどを基準にコードの変更を確認し、開発規約への適合と仕様の実現を別々にレビューします。二つの観点の指摘を分けて報告するスキルです。
集めた素材から記事の展開を複数提案し、選んだ内容を一段ずつ書き進めます。読者が知っている概念を確認し、必要な説明を先に置きながら文章を組み立てるスキルです。
人が行う必要のあるサービス設定や移行作業を、対話型のbashスクリプトにまとめます。画面操作の案内、秘密情報の入力、設定値の保存を段階ごとに進めます。
Gitの変更内容と過去の履歴を確認し、Conventional Commitsの形式やリポジトリの慣例に沿って、種類・対象範囲・長さを整えたコミット文案を作るスキル。
公開前の文章やコードを二つの独立したエージェントが同じ基準で審査し、両方の合格まで修正と再審査を繰り返し、上限を超えたら人へ判断を引き継ぐスキル。
予測市場や取引エージェントの処理を、規約・データ品質・秘密情報・プライバシー・取引実行の観点で点検し、問題点と必要な対策を整理するスキル。
配送の遅延・破損・紛失・数量不足に対し、証拠収集から補償請求、運送会社との交渉までを整理し、損失額や顧客への影響に応じた対応判断を支えるスキル。
医療アプリの公開前に、診療判断の支援ロジック、患者情報の漏えい、データ整合性などを検証するスキル。重大なテストの失敗でデプロイを止める仕組みを示します。