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Use this skill when building, debugging, or answering questions about Liveblocks. Liveblocks gives you the building blocks and infrastructure to enable people and AI to work together inside your app, powering realtime collaboration. Liveblocks features include collaboration, rooms, organizations, workspaces, comments, composer, threads, notifications, multiplayer, conflict resolution, realtime presence, avatar stacks, AI collaborators, AI agents, text editors, Tiptap, BlockNote, Lexical, React Flow, Chat SDK. Common components include AiChat, Thread, InboxNotification, Composer, Toolbar (for Lexical Tiptap), FloatingToolbar, FloatingComposer, FloatingThreads, AnchoredThreads. Common hooks include useThreads, useStorage, useMutation, useOthers, useInboxNotifications, useAiChats. Common issues are related to authentication (ID tokens vs access tokens), permissions, room limits, connection errors, user info.

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Context window management. Auto-triggered when context is filling up. Triggers smart compaction and preserves critical information across compaction boundaries. Called by L1 orchestrators at context thresholds.

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 receiving external input that needs structured intake before action — PR review feedback, code review comments, OR issue tracker items (bug reports, feature requests). PR Review Mode (default) verifies suggestions before implementing. Issue Triage Mode classifies issues into a state machine (ready-for-agent / ready-for-human / needs-info / wontfix) and emits AGENT-BRIEFs for AFK execution. Prevents blind implementation, enforces verification-first discipline.

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。

GPS-aligned genealogical research assistant for family history, ancestor research, record analysis, source-information-evidence classification, conflict resolution, citations, FAN research, privacy-sensitive document analysis, and proof statements, summaries, or arguments. Use for census, vital, probate, land, military, church, newspaper, DNA-plus-documentary, and other genealogy evidence tasks. Not for GEDCOM creation (use gedcom-creator), general history questions, DNA-kit shopping, or generic writing 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。

Diagnose Kolu client-side performance issues (memory leaks, high GPU, slow interactions) using chrome-devtools MCP + the Debug → Diagnostic info dialog + heap-snapshot analyzers. Triggers on "memory leak", "GPU memory", "tab bloat", "why is kolu slow", "debug performance", "zombie canvas", "WebGL leak", or any

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。

Semi-automated fact-checking, source credibility evaluation, misinformation detection, prebunking, and evidence-ledger based claim verification. Use when a user asks to verify a claim, article, social post, screenshot, URL, quote, data point, compare sources, detect manipulation, evaluate source reliability, or generate an HTML fact-check card/share-safe correction. Supports text, URLs, screenshots/images, two-source comparison, and topic-level prebunking in Bulgarian, English, Russian, EU policy, health, science, and geopolitical contexts. Trigger phrases: "is this true?", "is this fake?", "fact check this", "compare these sources", "проверка на факти", "истина ли е", "дезинформация ли е", "сравни тези източници".

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。

Quellenbasierte Profile einzelner Wettbewerber aus öffentlichen Informationen erstellen. Nutze diesen Skill, wenn Positionierung, Zielgruppe, Produkt, Preise, Organisation und Belegbehauptungen eines Anbieters zusammengetragen werden sollen, als Kurzbrief, fokussiertes Profil oder vertiefte Recherche. Trennt Tatsache, Anbieterangabe, Schätzung und Hypothese in einem Claim-Ledger, hält Quellen mit Datum fest und beachtet Datenschutz, Datenbankrechte, Urheberrecht und Geschäftsgeheimnisse. Kein Scraping über das Freigegebene hinaus, keine Personendossiers. Für vergleichende Seiten: competitors.

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。

Provides information about insurance coverage options and details.

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。

Plan your Korea experience — Seoul's palaces and K-pop culture, Busan's beaches, Jeju Island's nature, Korean BBQ crawls, and K-beauty shopping. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).

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。

Cyber Risk Quantification engineer for CyberRadar. Implements FAIR (Factor Analysis of Information Risk) methodology, Monte Carlo simulation for loss distribution modeling, financial impact quantification in multi-currency (SAR, USD, EUR, GBP), loss exceedance curves, risk treatment ROI calculation, insurance premium optimization, and board-ready financial risk reporting. Transforms qualitative risk assessments into monetary terms for executive decision-making. Triggers on: CRQ, FAIR, Monte Carlo, financial impact, loss modeling, risk quantification, cyber insurance, risk treatment ROI, financial risk.

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This skill enables Claude to automatically check for HIPAA (Health Insurance Portability and Accountability Act) compliance issues in codebases, infrastructure configurations, and documentation. It leverages the hipaa-compliance-checker plugin to identify potential violations related to data privacy, security, and access controls. Use this skill when the user explicitly requests to "check HIPAA compliance", "scan for HIPAA violations", "assess HIPAA readiness", or similar phrases related to HIPAA audits and security best practices. It is useful for projects handling protected health information (PHI) and requiring adherence to HIPAA regulations.

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Validates documentation completeness for prior authorization requests by checking a 10-item checklist covering patient information, provider credentials, insurance details, medical codes, clinical notes quality, NCCI bundling risk, and service type classification.

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。

Find and compare car rentals — sedans, SUVs, and luxury vehicles with insurance options, pickup locations, and best rates for self-driving adventures. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).

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 low-level on-chain probes for identifying what an owner address is — cast code → EOA / EIP-7702-delegated EOA / contract, VERSION() → Gnosis Safe, read-only get-owner-ica.ts derive → ICA derivation, getAccountInfo → Sealevel account existence — with how to interpret each result. The primitive layer beneath validate-owners / resolve-artifacts / update-owners, which each apply their own per-chain or per-artifact policy on top.

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。

Quarterly Business Review template generator — takes account info (ARR tier, adoption metrics, goals) and produces a complete QBR deck outline and talking points. Use when asked to "prepare a QBR", "build a quarterly review", "write our QBR agenda", or "create QBR talking points for this account".

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 asked to design a landing page, marketing website, or any web presence intended to convert or inform. Examples: "design a landing page for X", "create a marketing site", "we need a homepage", "design our website", "build a page for our launch".

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 asked to structure a landing page, design page layout for conversion, or plan landing page information architecture. Examples: "landing page structure for SaaS", "conversion-optimized layout"

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。

UX designer — user flows, information architecture, wireframes, and interaction design. Use when asked to "design a user flow", "map the IA", "wireframe this screen", or "review UX before shipping".

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 logging errors, warnings, and info messages in Datagrok packages

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。

Cheminformatics toolkit catalog for small molecules. Covers RDKit/OpenChemLib calculations, descriptors, fingerprints, similarity/substructure search, R-group, MMP, scaffold tree, chemical space, MPO, reactions, and ADMET predictions. Open this skill when the user asks about computing molecular properties, comparing/searching molecules, or predicting ADMET/tox.

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。

Naming, navigation, a UI that mirrors the data model, confirms for irreversible changes. Use when structuring a large application or naming its entities.

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。

Match information density to platform and user type. Use when designing data tables, dashboards or toolbars, or adapting a desktop product for mobile.

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 logical structure of mathematical proof -- how first-order logic, natural deduction, and semantic reasoning combine to produce rigorous mathematical arguments. Covers the logical skeleton of direct proof, contraposition, contradiction, cases, and induction; the role of definitions, lemmas, and theorems; how informal mathematical prose maps to formal deductive structure; and the difference between proof-as-object and proof-as-activity. Use when the question is "why is this a valid proof?" rather than "what proof technique applies?"

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。

Map design, spatial analysis, and Geographic Information Systems. Covers map projections and their distortion trade-offs, coordinate systems, thematic mapping techniques (choropleth, proportional symbol, dot density, isoline), remote sensing and satellite imagery, GIS data models (vector and raster), spatial analysis operations (overlay, buffer, interpolation, network analysis), and cartographic design principles. Use when creating maps, analyzing spatial data, selecting projections, interpreting satellite imagery, or reasoning about spatial relationships in any domain.

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。