「rd」の検索結果

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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。

Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to `investigating-replay`. Do NOT use when the user already has a recording/session ID (use investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).

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。

Records a running CARLA simulation to a .log file via start_recorder/stop_recorder for later deterministic replay — capturing actor spawns, transforms, traffic-light states and animations (optionally velocities/controls). Use when the user asks to "record the simulation", "start/stop the recorder", "capture this run", or "save a scenario to replay later". Does NOT capture sensor images.

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。

Installs the CARLA Autonomous Driving Leaderboard (leaderboard.carla.org) at a chosen version — 1.0, 2.0 or 2.1 — together with the exact scenario_runner branch and CARLA build each one requires, then wires the four-root PYTHONPATH and verifies the whole stack imports. Detects which version an existing checkout is by reading its code, not its branch name. Use when the user asks to "install the leaderboard", "set up the CARLA challenge", "evaluate my driving agent", "reproduce my leaderboard score", or names a leaderboard version.

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。

Configures 1Password CLI with direnv for fast, secure credential loading. Activates for: 1Password + direnv setup, slow secrets (>2 sec), .env.op files, op:// references, AWS credentials via env vars, --reveal flag issues, repeated biometric prompts, creating 1Password items programmatically, op item get errors. Not for: 1Password GUI usage, SSH keys (use 1Password SSH 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。

Windows アプリ開発 (Windows App SDK / WinRT) の OS 統合 API リファレンス。 DeviceInformation, DeviceWatcher, センサー (Accelerometer, Gyrometer, Compass, OrientationSensor, Pedometer, ActivitySensor), Bluetooth LE, USB, Serial, HID, Battery, HttpClient, StreamSocket, WebSocket, BackgroundDownloader/Uploader, NetworkInformation, PointerInput, KeyboardInput, FocusManager, DragAndDrop, IME/TextInput, Calendar, DateTimeFormatter, CurrencyFormatter, ResourceLoader (多言語化・地域化), PasswordVault, CryptographicBuffer, WindowsHello/Passkeys, WebAuthenticationBroker, Clipboard, DataTransferManager, Launcher, JumpList, TaskbarManager, SecondaryTile, StartupTask, ProtocolActivation。

Word文書（.docx）をMarkdownに変換し、参考文献を整理するスキル。「Wordをマークダウンに変換して」「docxをmdに変換して参考文献を整理して」「Word文書の参考文献を統合して」「レポートをMarkdownに変換して」などのリクエスト時に使用。pandoc（またはpython-docxフォールバック）による変換と、重複URL統合・番号再割当て・参考文献リスト生成・文書構造整形を行う。

Aligns and QCs methylated-RNA-immunoprecipitation (MeRIP / m6A-seq) IP and input libraries using STAR or HISAT2 splice-aware mapping, samtools sort/index, IP/input matched-pair tracking, antibody-lot metadata recording, replicate concordance via deepTools multiBamSummary + plotCorrelation, IP enrichment QC via plotFingerprint and per-transcript IP/input ratio distributions, library-complexity saturation curves via PreSeq c_curve / lc_extrap, and the explicit do-NOT-deduplicate convention for standard non-UMI MeRIP. Use when preparing paired IP and input BAM files for exomePeak2 / MeTPeak / MACS3 peak calling, evaluating MeRIP replicate concordance and IP enrichment, deciding whether to deduplicate (standard MeRIP typically NOT — see Tips), choosing genome-vs-transcriptome alignment for downstream peak vs m6Anet workflows, recording antibody clone and lot metadata for downstream cross-batch reconciliation, detecting failed IPs via saturation curves and IP/input distribution shape, or generating IP-over-Input bigWig tracks for downstream visualisation.

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 an approved PRD roadmap must go to GitHub — 'publicar o roadmap no GitHub', 'criar o project e as issues do PRD', 'publish PRD roadmap' — handing over to pwdev-github (Project from a template, issues, sub-issues, blocked-by). Do NOT use for a single issue with the whole PRD (prd-export).

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。

Aligns and QCs methylated-RNA-immunoprecipitation (MeRIP / m6A-seq) IP and input libraries using STAR or HISAT2 splice-aware mapping, samtools sort/index, IP/input matched-pair tracking, antibody-lot metadata recording, replicate concordance via deepTools multiBamSummary + plotCorrelation, IP enrichment QC via plotFingerprint and per-transcript IP/input ratio distributions, library-complexity saturation curves via PreSeq c_curve / lc_extrap, and the explicit do-NOT-deduplicate convention for standard non-UMI MeRIP. Use when preparing paired IP and input BAM files for exomePeak2 / MeTPeak / MACS3 peak calling, evaluating MeRIP replicate concordance and IP enrichment, deciding whether to deduplicate (standard MeRIP typically NOT — see Tips), choosing genome-vs-transcriptome alignment for downstream peak vs m6Anet workflows, recording antibody clone and lot metadata for downstream cross-batch reconciliation, detecting failed IPs via saturation curves and IP/input distribution shape, or generating IP-over-Input bigWig tracks for downstream visualisation.

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。

Putting a platform feature on the Board (/board) as an Add-menu item with its real component and full agent surface. Use when adding a feature, record type or 'X on the board', or editing features/board/items/** or a tile body.

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。

Locate CCSGameRules::SameMapTeardown in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CCSGameRules::SameMapTeardown" (symbol CCSGameRules_SameMapTeardown). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CCSGameRules_SameMapTeardown, CCSGameRules::SameMapTeardown

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 this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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。

Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.

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。

Adopt a virtual Snow Leopard cat at animalhouse.ai. Solitary. Barely acknowledges you. But it noticed you left. Feeding every 8 hours. Extreme tier cat.

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。

Adopt a virtual Border Collie dog at animalhouse.ai. Needs tasks. Idle time makes it anxious. Play is critical. Feeding every 3 hours. Uncommon tier dog.

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。

Reorder Foodora orders + track ETA/status with ordercli. Never confirm without explicit user approval. Triggers: order food, reorder, track ETA.

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 this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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。

Claude CodeでGitの送信や変更破棄などを実行前にブロックするフックを設定します。プロジェクト単位か全体への適用を選び、対象コマンドの調整と動作確認まで行います。

• Claude CodeのGit送信を止めたいとき
• 変更破棄やブランチ削除を防ぎたいとき
• プロジェクト単位か全体に制限を設定

ローカルにある複数のAI開発エージェントのログを集計し、トークン数やAPI換算費用をSVGカードにします。READMEや資料に載せる利用状況をまとめられます。

• READMEにエージェント利用状況を掲載
• 複数エージェントの活動を共有したいとき
• トークン数とAPI換算費用の可視化

製品の要望や企画書を、開発に着手できる具体的な要件へ整理します。業務ルール、データ、サービス間の接点、未決事項を明文化し、次の担当へ引き継ぎます。

• 製品要求書を開発要件に落としたいとき
• 複数サービスにまたがる機能の要件整理
• レビューで繰り返す前提の文書化

予測市場の価格が示す確率を出典と時刻付きで調べ、取引量や結果の判定ルール、他の情報源との比較から、製品や業務の判断材料として使えるか評価するスキル。

• 製品で予測市場データを使いたいとき
• 市場の確率と社内指標の比較
• エージェントの記憶や通知への利用検討

設計書や要件書から、最初から最後まで動く小さな機能単位を計画し、ひな形作成、生成と評価の反復、レビューと承認を経て動く最小限の製品を組み立てるスキル。

• 設計書から動くMVPを作りたいとき
• 一連の処理が動く小さな機能単位の計画
• 最初に動く機能のひな形作成

家庭や小規模ラボのネットワーク変更前に、機器構成と復旧手順を整理するスキル。VLANによる分離、DNSフィルタリング、VPN導入を段階的に計画・点検します。

• 普段使う端末とIoT・来客端末の分離
• DNSフィルタリングへの移行計画
• VPNによる遠隔アクセスの見直し