「hr」の検索結果

Read-only audit of a folder of existing multilingual blog posts: translation coverage, parity, hreflang and canonical consistency, meta-tag parity, and stale translations, with a prioritized report. Use when the user says "locale audit", "check translations", "multilingual audit", "hreflang check", "Uebersetzungen pruefen" about posts that already exist. Not for creating or fixing translations (blog-translate, blog-localize, blog-multilingual) or for a site-wide technical hreflang crawl (claude-seo seo-hreflang).

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。

Build cross-browser extensions with WXT — the modern framework for Chrome, Firefox, Safari, and Edge extensions. Use when someone asks to "build a browser extension", "Chrome extension with React", "WXT framework", "cross- browser extension", "manifest v3 extension", "build Firefox extension", or "browser extension with TypeScript". Covers content scripts, background workers, popup/options pages, storage, messaging, and publishing.

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。

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.

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。

Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.

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。

Build volcano and MA plots from differential-expression / association results with LFC shrinkage, FDR-adjusted thresholds, sensible label placement, and axis-truncation conventions. Covers EnhancedVolcano, ggplot2, matplotlib, and the apeglm/ashr/normal shrinkage decision. Use when visualizing differential-expression results (RNA-seq, ChIP-seq, ATAC-seq, proteomics) or any per-feature effect-size + p-value table.

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。

Cross-method decision tree for calling hits in pooled CRISPR screens. Catalogs statistical models (MAGeCK RRA, MAGeCK MLE, BAGEL2, drugZ, JACKS, Chronos, CERES), experimental designs each is built for, failure modes outside design domain, reconciliation when methods disagree, multiple-testing and effect-size thresholds, the order of operations (count -> QC -> CN-correct -> hit-call -> validate), the second-best-sgRNA conservative rule, and consensus-hit strategy. Use when choosing among MAGeCK / BAGEL2 / drugZ / JACKS / Chronos for a given design, reconciling disagreement across two or three methods on the same screen, deciding whether to require consensus, gating downstream validation by hit-confidence tier, or interpreting unstable hit lists across reruns.

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 recommends urgent treatment (within 24–72 hours) of hypercortisolism when life‑threatening complications of Cushing's syndrome such as infection, pulmonary thromboembolism, cardiovascular events, or acute psychosis are present. Trigger phrases include sepsis, PE, chest pain with hemodynamic instability, new‑onset psychosis, or delirium in a patient with known or suspected Cushing's.

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。

Workflow Phase 10 — orchestrator for documentation work. Surveys the diff, routes any page on a documentation surface through `technical-writer`, standalone technical reference through the `documentation` skill, tutorials through `technical-tutorials`, and all other prose body work (inline docs, README updates, user-facing copy) through the `prose` skill (which mandates `humanizer` and conditionally `copywriting`). Verifies completeness and marks phase done.

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。

Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.

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。

Systematically find and fix performance problems in applications, frontend and backend, by measuring first. Use this skill whenever the user reports slow endpoints, high latency, poor throughput, memory leaks, large bundles, or slow page loads; wants to profile with cProfile, py-spy, Chrome DevTools, Node --cpu-prof, or perf; run load tests with locust or k6; set performance budgets or SLOs; optimize database queries (EXPLAIN, indexes, N+1); add caching (Redis); improve frontend performance (code splitting, lazy loading, image optimization, memoization, virtualization); or tune the network (CDNs, gzip/br, HTTP/2/3). Also trigger for p50/p95/p99 latency, throughput, error rate, connection pooling, async vs threads, GIL, and memory leak investigations.

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。

Especialista em construir experiências 3D para a web - Three.js, React Three Fiber, Spline, WebGL e cenas 3D interativas. Cobre configuradores de produtos, portfólios 3D, websites imersivos e adição de profundidade às experiências web. Use quando: website 3D, three.js, WebGL, react three fiber, experiência 3D.

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。

吉里吉里Z (krkrz) の -replweb HTTP+SSE サーバ (WebServer クラス) にブラウザ UI を載せて、本体アプリの操作/編集/観測パネルをブラウザ側に組み込む方法論。ゲーム本体は 3D 表示やゲーム内 UI に専念させ、編集ツール・インスペクター・ダッシュボード・REPL コンソールをブラウザ (別ウィンドウ/別PC) から使う構成を作るときに読む。プラグインや TJS がサーバへエンドポイントを追加公開する手順 (WebServer.register / serveStatic / broadcast)、ハンドラ呼び出し規約 (req %[method,path,query,body,bytes] → 文字列/octet/整数/辞書)、状態同期パターン (fetch POST + SSE /sub push + throttle + 差分/tick 配信)、既存 REPL コンソール (/events + /cmd) の UI 埋め込み、ブラウザのアプリモード起動 (Chromium --app / -webui)、json.dll 連携、TJS2 由来のハマりどころ (ローカル関数クロージャ不在→クラス化 / ブロックコメントのネスト誤爆 / startup 例外の致命性 / ハンドラは必ずメインスレッド実行) を網羅。エンジン側 WebServer クラスそのものの仕様は krkrz core doc/REPL.md、REPL/Agent 駆動は skill krkrz-repl、Elements ネイティブ UI は skill elements、TJS2 言語は skill tjs2、本体 API は skill krkrz を参照。

Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft.

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。

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

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。

Build automated threat intelligence enrichment pipelines in Splunk Enterprise Security using lookup tables, modular inputs, and the Threat Intelligence Framework.

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。

Deploy MISP (Malware Information Sharing Platform) to aggregate, correlate, and distribute threat intelligence feeds from multiple sources for centralized IOC management and automated SIEM integration.

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。

Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T

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。

Build an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.

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。

Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MISP, AlienVault OTX, or automated feed aggregation pipelines.

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。

MITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor beh

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 advanced persistent threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework using the ATT&CK Navigator and attackcti Python library. The analyst queries STIX/TAXII data for group-technique associations, generates Navigator layer files for visualization, and compares defensive coverage against adversary profiles. Activates for requests involving APT TTP mapping, ATT&CK Navigator layers, threat actor profiling, or MITRE technique coverage analysis.

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。

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

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。

Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.

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。

Relentless one-question-at-a-time interview (tappable options with a recommended answer) that sharpens a requirement, business plan, project plan, proposal, or raw idea through conversation, then writes it up as a brief with a glossary and decision log. Use whenever the user wants their thinking stress-tested or pinned down before acting — trigger phrases include "grill me", "grill this", "詰めて", "詰めたい", "壁打ち", "要件を固めたい", "企画を練りたい", "計画を整理したい", "アイデアをぶつけたい", "突っ込んで", "clarify", "質問して", "何が決まってないか教えて", or when the user describes a plan/idea vaguely and asks what to do next. Do NOT use for reviewing a finished document (use a document-review skill) or when the user just wants an answer, not questions.