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Investigate USB device connection history from Windows registry, event logs, and setupapi logs to track removable media usage and potential data exfiltration.

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Parse and analyze Windows Amcache.hve registry hive to extract program execution evidence, file metadata, SHA-1 hashes, and device connection history for digital forensics and incident response investigations.

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Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.

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Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.

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Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.

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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.

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Visual storytelling skill chain for DSH; use for narrative motion, scroll-driven UX, and stack-aware implementation rails.

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Inspects PostHog Visual Review (VR) runs that gate PR merges with screenshot regression checks. Use when the user mentions "visual review", "VR", "snapshot diff", "screenshot test", "storybook regression", "playwright snapshot", asks why a PR is blocked or what changed visually, wants to triage the VR backlog, decide whether a snapshot diff is real vs flaky, or check whether a story has been changing across runs. Also invoke when a PR has a failing `visual-review` status check, when a PR comment mentions "Visual review", or when the user is on a branch with an open VR run.

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Work safely with endpoint versions — preview a draft in the playground, roll back to an older version, update settings on one version without bumping query history, deactivate a specific version. Use when the user asks "how do I roll back my endpoint", "preview my changes before publishing", "I want to fix v5 without bumping the version", or anything involving the version history. Calls out today's limitations honestly: there is no pointer flip; "rollback" means forking the old query into a new top version.

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Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announcement post," "engineering post," "deep dive," "postmortem," or asks for help with technical writing for Sentry. Even if the user just says "help me write about [feature/topic]" — if it sounds like it could become a Sentry blog post, use this skill.

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Map the competitive landscape for a Stellar project idea. Use when a user says "who are my competitors on Stellar", "competitive analysis Stellar", "what already exists in this space on Stellar", "show me similar Stellar projects", "is anyone else building this on Stellar", or "map the Stellar landscape for X". Queries the 728-project LumenLoop ecosystem database and Electric Capital developer activity to rank competitors by SCF funding history and repo activity.

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Execute story implementation following a context filled story spec file. Use when the user says "dev this story [story file]" or "implement the next story in the sprint plan"

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Senior software engineer for story execution and code implementation. Use when the user asks to talk to Elliot or requests the developer agent.

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When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

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Manage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.

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Generate a vertical story image for TikTok or Instagram book promotion with cover art, hook text, and author branding.

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Extract applicant details, employment history, income, and references from a rental application form into structured JSON for tenant screening.

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Storybook (UI カタログ) リファレンス。story, CSF (Component Story Format), CSF Next (CSF Factories), args, argTypes, decorators, play function, interaction tests, autodocs, main.ts / preview.ts, アドオン (a11y, controls, viewport, themes), Vitest addon, test-runner, Storybook MCP server, components manifest, アドオン作成, upgrade / migration。

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nuqs (Type-safe URL search params 状態管理, React / Next.js) リファレンス。 useQueryState, useQueryStates, parseAsString / parseAsInteger / parseAsArrayOf 等 parsers、 NuqsAdapter (Next.js / React Router / TanStack Router / Remix)、createSerializer、 createStandardSchemaV1, inferParserType、shallow routing、history 制御、SSR、 URL 長さ制限 (limits)、Zod / Effect / Sury 連携。

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CadQuery (Python 製 3D CAD スクリプティングライブラリ) リファレンス。 Workplane API (lineTo / extrude / revolve / sweep / loft / fillet / chamfer / shell)、 Sketch API、Assemblies (Constraint solver)、Free Function API (hollow / prism / draft / offset2D, History)、 Selectors、Shape / Vertex / Edge / Wire / Face / Shell / Solid、 Import / Export (STEP / DXF / STL / glTF / SVG)、Visualization (VTK, cadquery.fig 非ブロッキング, Jupyter)、CQGI。

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窓際族物語のストーリー（あらすじ）からSeedance用の台本・動画生成プロンプト・セリフ音声（VOICEVOX/Irodori-TTSボイスクローン）・Codex参考画像を作成するワークフロー。ユーザーからストーリーを渡されたとき、台本やSeedanceプロンプトの作成・修正を頼まれたとき、キャラのセリフ音声の生成を頼まれたとき、クリップの参考画像（キーフレーム）生成を頼まれたときに必ず使用する。

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Madogiwa StudioのRemote Web MCPを使い、窓際族物語のギャラリー、記事、エピソード、生成バージョン、使用モデル、登場メンバー、Seedanceプロンプト、入力画像・参照音声・資料、YouTube動画IDと公開状態を登録・確認する。ユーザーがMadogiwa Studioへの登録、公式サイトコンテンツ編集、動画アップロード、プロンプト同期、入力素材管理、Studio ID確認、MCP接続や同僚環境への導入を頼んだときに使用する。

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新しい GameDay シナリオを追加する。「シナリオを追加して」「新しい障害を考えて」「次の GameDay のネタが欲しい」「scenario-03 を作って」など、シナリオの新規作成・追補・改訂の全てで必ず使う。立案 (gameday-scenario エージェント) → 観測可能性チェック → scenarios/NN-<slug>.md への保存 → fis-experiment スキルへの引き継ぎまでの手順を提供する。特に「観測窓より速い障害は見えない」「読み取りプローブでは書き込み断が見えない」などリハーサル実測に基づく設計チェックを保存前の関門にする。

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GameDay シナリオを AWS FIS 実験テンプレート (CDK) として実装する。「シナリオを FIS にして」「実験テンプレートを作って」「障害注入を実装して」「fault-injection を書いて/直して」など、FIS 実験の実装・修正・レビューの全てで必ず使う。FIS アクションの選定、停止条件 (CloudWatch アラーム)、実験ロールの最小権限 IAM、爆発半径の制御 (selectionMode)、実験レポート設定、ECS タスクアクションの SSM サイドカー前提条件など、検証済みの判断基準とコード例を提供する。lib/constructs/fault-injection.ts を編集するときは内容にかかわらず該当する。

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