MISPに蓄積した脅威情報を集計し、脅威レベルや攻撃者、通信先などの指標の内訳と時系列の変化を分析して、脅威動向レポートを作成するスキル。
- 直近90日間の脅威動向レポート作成
- 攻撃者の活動や主要な攻撃手法の把握
- 脅威指標の種類や登録件数の推移確認
2.6万 件 ・ 関連度順
概要と使いどころ
MISPに蓄積した脅威情報を集計し、脅威レベルや攻撃者、通信先などの指標の内訳と時系列の変化を分析して、脅威動向レポートを作成するスキル。
Windowsに残るフォルダー閲覧の痕跡を解析し、削除済みの場所や取り外したUSB、ネットワーク共有へのアクセス履歴を調べるスキル。
ChromeやEdgeなどの保存データをHindsightで解析し、閲覧履歴やダウンロード、Cookieを時系列に整理。事故調査でWeb上の行動をたどれます。
調査の目的と合格条件を定め、検証結果を記録した成果物がそろうまで調査を継続します。途中状態を保存し、スクリプト検証またはレビュー承認で完了を判断します。
Node.js・Express・TypeScriptのAPI開発で、処理の役割分担と実装方針をそろえます。入力検証、データベース操作、エラー追跡、テストまで扱うガイドです。
文章や参考画像から特許向けの線画を生成し、既存図面のベクター化や画像の高解像度化、出願用のTIFF・PDFなどへの変換まで行うスキル。
LinkedInの営業先・採用候補者の検索や保存、メッセージ送信をCurviate CLIで進め、利用権限や契約による実行エラーの原因も確認するスキル。
スクロールに連動して文字や画像が動くWebページを設計・実装します。奥行きのある演出や画面に固定する区間を組み合わせ、読み進める流れを作ります。
経営戦略の検討や事業シナリオの比較、取締役会・投資家向けの説明準備を支援します。意思決定の手順と資料のひな型を使い、組織づくりや経営課題を整理します。
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
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。
Chromaを使い、文章の意味に基づく検索や、検索した資料をAIの回答に使う仕組みを実装します。文書の保存・更新、属性による絞り込み、外部ライブラリ連携も扱います。
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
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。
LLMアプリの処理の流れを記録して不具合を調べ、回答品質の評価やプロンプト・モデルの比較を進めます。Phoenixの導入から本番監視、自前での運用まで扱います。
文書検索を組み合わせたAI回答の仕組みづくりから、プロンプト改善、品質評価、費用試算まで扱い、LLMアプリの本番運用に向けた設計と実装を支援します。
Gets Claude talking to a tool nobody built an official connector for. Works out what the system is, checks the Claude connector directory for an existing connector first, and when there isn't one connects the tool through Zapier — never by hand-building against a raw API — with credentials handled safely and approval gates on anything that writes. This is what turns "my ERP isn't supported" into an afternoon. Use this whenever the owner names a tool that isn't connected — including phrasings like "can you connect to my," "make my tools talk to each other," "there's no API for this," "pull data out of my field service software," "I use ServiceTrade and it's not on the list," or "is there any way to get at this data." Reach for it whenever an unsupported system is blocking something else.
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。
Senior Regulatory Affairs Manager for HealthTech and MedTech companies. Prepares FDA 510(k), De Novo, and PMA submission packages; analyzes regulatory pathways for new medical devices; drafts responses to FDA deficiency letters and Notified Body queries; develops CE marking technical documentation under EU MDR 2017/745; coordinates multi-market approval strategies across FDA, EU, Health Canada, PMDA, and NMPA; and maintains regulatory intelligence on evolving standards. Use when users need to plan or execute FDA submissions, navigate 510(k) or PMA approval processes, achieve CE marking, prepare pre-submission meeting materials, write regulatory strategy documents, respond to agency queries, or manage compliance documentation for medical device market access.
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 competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
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 and maintain one coherent company story across all audiences — employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs. Use when preparing investor updates, all-hands presentations, board communications, recruiting narratives, crisis communications, or when user mentions company narrative, messaging consistency, storytelling, all-hands, investor update, or crisis communication.
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 GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).
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。
Diagnoses and resolves Filestore client mount failures on Google Cloud, permission errors (EACCES), and network timeouts (ETIMEDOUT). Use when an NFS mount hangs or fails from a Compute Engine VM, GKE pod, Cloud Run service, or Vertex AI workload, when `mount.nfs` reports "Connection timed out" or "access denied by server", when checking whether VPC ingress firewall rules or `nfsExportOptions` allow a client IP, or when a previously working Filestore share suddenly stops mounting after an administrative change. Don't use for Cloud Storage (GCS) buckets, Persistent Disk, or Cloud NetApp Volumes, and don't use for Filestore capacity scaling or backup and export-policy 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。
Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
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。
Validate and monitor OpenShell GitHub issues and PRs using the gator:* state machine. Use when asked to triage issues/PRs for project validity, gate PRs, run gator, validate submissions, or monitor PRs toward merge readiness.
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。
Inspects a recorded CARLA .log without replaying it — show_recorder_file_info for the header/actors/frames, collision queries between actor categories, and blocked-actor queries for vehicles that got stuck. Use when the user asks to "what's in this recording", "show recorder info", "which vehicles collided", "find collisions in the log", or "which actors were blocked/stuck".
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。
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
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。