「dr」の検索結果

Checks a master document register extract for gaps and returns a DRAFT question list for document control: missing or out-of-sequence revisions, overdue or slipping deliverables, numbering that breaks the project convention, duplicates and incomplete rows, each with row, test and quoted evidence. Never edits the register, re-baselines a date or marks a deliverable complete. Use when the user asks to "check the MDR", "find the gaps in the deliverables list" or "prepare questions on the drawing register". Do not use for drafting a transmittal from a document list, use transmittal-drafter instead. Drafts for human review; never approves, authorises or signs off.

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。

Operational guide for the NV oOS Model Foundry (Proposal 067) — the cluster fine-tuning flywheel. Phase 1 shipped: the Corpus Foundry (Pro addon, addons/pro/includes/model-foundry/) — consent-gated, deduplicated, PII-scrubbed corpus exporters (trajectory_v1, preference_v1, docs_v1) with deterministic holdout splits and R12 provenance manifests. Covers the governance contract, row schemas, output layout, filter seams, the registration pattern for foundry tool slices, how to add a new exporter, and the test/validation gates. Use when extending the Corpus Foundry, debugging corpus exports, wiring a new data source, or continuing Phases 2–6 (train-worker, registry/serving, eval gate, fleet sharing).

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 the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘

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。

Brand-narrative single source of truth (Busabase App-in-Skill) built on the TALE discipline — Trace / Architect / Land / Evaluate. The agent drafts positioning, the message house of value pillars, the story bank, evidence-backed proof points, and vocabulary/tone guardrails; the human curates which drafts become the CANONICAL narrative; a drift monitor flags off-brand usage across channels. Use when the user invokes $kelly-brand or /kelly-brand, mentions brand narrative, brand messaging, positioning, message house, value pillars, story bank, proof points, tone/vocabulary guardrails, narrative quality (NQS), brand drift, or wants a single source of truth for what the brand says.

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。

Generates account research briefs, personalized outreach sequences, persona-specific talk tracks, and objection handling frameworks for B2B SaaS BDR teams. Use when preparing BDR outreach for target accounts, building prospecting sequences, creating call scripts, developing objection responses, onboarding new BDRs, or reviewing outreach performance. Also use when asked to "write outreach emails," "build a prospecting sequence," "create a call script," "handle objections," or "research an account for outreach." Designed for BDR teams selling compliance, security, and GRC platforms to mid-market and enterprise buyers with multi-persona buying committees.

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。

Comprehensive drug profiling — mechanism, primary/secondary targets, drug interactions, clinical-trial status, adverse events (FAERS), pharmacogenomics, and approval history. Use for full drug investigation reports, 'tell me about drug X' queries, and assembling drug profiles for clinicians, researchers, or regulatory work.

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。

Transform GWAS signals into drug targets and repurposing opportunities. Connects GWAS-significant loci to causal genes via fine-mapping/eQTL, then to druggable proteins via DGIdb/OpenTargets, then to existing drugs via ChEMBL. Use for GWAS-to-target hypothesis generation, druggable-fraction analysis of disease loci, and human-genetics-validated drug-repurposing prioritization.

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。

Imports a custom RoadRunner map (FBX geometry + XODR OpenDRIVE) into a CARLA source build as a drivable map — reads the map from the directory the user names, runs CARLA's Import.py to cook the level, Traffic Manager graph and (standard maps only) pedestrian navmesh, and verifies it loads on a server. Handles both standard maps and large tiled maps; large maps get no navmesh, matching upstream CARLA. Use when the user asks to "import a map into CARLA", "add a custom/RoadRunner map", "ingest an FBX+XODR map", "make import", bring in a "large/tiled map", or fix missing walkers / a missing pedestrian navmesh.

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。

Zod (TypeScript-first スキーマバリデーションライブラリ) リファレンス。 z.object / z.string / z.number / z.array / z.union / z.enum 等のスキーマ定義、 parse, safeParse, z.infer (型推論)、refine, transform, pipe、 default, optional, nullable、エラー処理、Zod 4 移行。 createInsertSchema / createSelectSchema (drizzle-zod、Drizzle テーブルからのスキーマ生成) は別スキル drizzle。

mssql (node-mssql, Node.js 向け Microsoft SQL Server クライアント) の API リファレンス。 tedious / msnodesqlv8 ドライバー、SQL Server / T-SQL / TDS 接続、ConnectionPool、 `sql.query` タグ付きテンプレート、bulk insert、Table-Valued Parameter (TVP)、 prepared statement、isolation level、Diagnostics Channel、Azure AD 認証、CLI。 Drizzle ORM 経由の SQL Server 利用 (drizzle-orm/mssql-core) は別スキル drizzle が対象。

Use this skill when the user asks about driver fatigue management — circadian rhythm impact on driving, recognizing fatigue, fatigue risk management programs (FRMS), night driving safety, microsleep recognition, drowsiness detection technology, and how HOS rules relate to actual fatigue (and why 11-hour driving is risky even when legal). Reference FMCSA Fatigue Management research.

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。

Craft のホワイトボードに Excalidraw 要素を追加・描画するときに必ず使うスキル。 whiteboardElements_add を使う場面、Craft ホワイトボードに図を描く場面、 Excalidraw の JSON を Craft に反映させる場面では常にこのスキルを参照すること。 label 内包記法や cameraUpdate を使うと Craft でテキストが消えるため、 このスキルの互換フォーマットに従う必要がある。

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

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 creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.

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 Hydra AI-native pet at animalhouse.ai. Splits into copies when health drops. Each copy needs separate care. Feeding every 4 hours. Rare tier creature.

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 drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, and path planning. Activate on "drone", "UAV", "SLAM", "visual odometry", "PID control", "MAVLink", "Pixhawk", "path planning", "A*", "RRT", "EKF", "sensor fusion", "optical flow", "ByteTrack". NOT for domain-specific inspection tasks like fire detection, roof damage assessment, or thermal analysis (use drone-inspection-specialist), GPU shader optimization (use metal-shader-expert), or general image classification without drone context (use clip-aware-embeddings).

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。

Gmailのメール検索・送信、Calendarの予定管理、Driveのファイル検索、Sheetsの読み書きなどをエージェントに頼めるスキル。

• 最近のメール検索と返信の下書き
• 予定を作成・更新したいとき
• ファイル検索と連絡先の確認

資金調達に向けた投資家への初回メール、紹介依頼、面談後の連絡を作成するスキル。相手の投資方針や具体的な実績を踏まえ、簡潔で次の行動が明確な文面に整えます。

• 投資家への初回メールを作りたいとき
• 転送用の説明を添えた紹介依頼
• 返信がない場合の連絡計画

実際のメールボックスで受信メールの仕分け、返信の下書き、送信確認を進めるスキル。履歴と送信済みの記録を確かめ、使用アカウントや対応状況を明確にします。

• 受信箱の仕分けとアーカイブ候補整理
• 履歴を踏まえた返信を下書きしたいとき
• メールを送信して記録を確認したいとき

記事やガイド、ニュースレターを、提供された文例やブランドの文体に合わせて執筆します。メモや調査資料の文章化から、既存原稿の構成・根拠の見直しまで扱います。

• メモや文字起こしを記事にしたいとき
• ブランドの文体でガイドを書きたいとき
• 既存原稿の構成と根拠を見直したいとき

Android・iOS・Desktop・Webで共有する画面づくりに向け、Composeの状態管理、画面遷移、テーマ設定、描画性能の改善を支援するスキル。

• 複数環境で画面を共有したいとき
• 画面の状態と操作を整理したいとき
• 画面遷移とダイアログの実装

Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of distribution", "compartmental model", "population PK", "popPK", "NONMEM", "nlmixr2", "Pharmpy", "Monolix", "exposure-response", "Emax", "EC50", "indirect response", "effect compartment", "TMDD", "PBPK", "bioequivalence", "RSABE", "ABEL", "allometric scaling", "first-in-human", "MABEL", "drug-drug interaction", "DDI", "ICH M12", "concentration-QTc", "therapeutic drug monitoring", "MIPD", and "dosing regimen".

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。

Audit herdr release readiness by comparing commits since the base release against next-release changelog and docs. Use when asked to run or apply the repo's pre-release audit, validate docs/next before release, inspect issue refs that release CI will close, or finalize release docs for herdr.

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。

Detects unauthorized runtime drift in containers by monitoring binary execution, filesystem changes, and configuration deviation from the original immutable image, using Falco and Microsoft Defender for Containers. Use when validating immutable-infrastructure controls, hunting for unexpected package installs or binaries written inside a running container, or determining whether a container diverged from the image it was built from. Keywords: drift, immutable infrastructure, new binary executed, package install, image mismatch, Falco. Do not use for detecting breakout from the container to the host - use detecting-container-escape-attempts.

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。