「xp」の検索結果

Operationalizing an expungement website — user intake flows, document generation pipelines, court filing integrations, payment processing, state-by-state workflow variations, customer support for sensitive populations, and the handoff between automated systems and human legal review. Activate on 'expungement operations', 'legal tech SaaS', 'court filing integration', 'document automation pipeline', 'expungement business', 'legal service workflow', 'multi-state legal operations'. NOT for expungement law itself (use national-expungement-expert), web design (use legal-tech-web-design), or legal document drafting (use recovery-app-legal-terms).

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。

Node.js、Express、Next.jsのAPIとデータ処理を設計・レビューするスキル。DBへの問い合わせ、キャッシュ、認証、エラー処理を整理します。

• API設計と業務処理・データ取得の分離
• 重複するDB問い合わせを減らしたいとき
• キャッシュと非同期処理の導入

Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.

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。

Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".

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。

Export and build a Godot 4.7 project for distribution: install export templates, define export presets (Windows/macOS/Linux/Web/Android), run headless command-line exports for CI, and handle web (HTML5) COOP/COEP and dedicated-server/headless builds. Use when exporting a Godot game, configuring export_presets.cfg, building for web/desktop/mobile, or automating builds from the command line.

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 customer journey maps and service blueprints that visualize the end-to-end user experience including touchpoints, emotions, friction, and underlying systems. Use this skill whenever the user wants to map a customer journey, build a service blueprint, identify friction across an experience, align teams on the user experience, or visualize touchpoints and pain points. Triggers on customer journey, journey map, service blueprint, user journey, experience map, touchpoint analysis, friction map, journey audit, end-to-end experience, customer experience map. Also triggers when the team has departmental views of users but no shared map of what the experience actually feels like.

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。

How to read experiment results without fooling yourself. Confidence intervals, p-values, multiple testing, sequential testing, CUPED, heterogeneous treatment effects, ratio metrics, network effects, dashboard reconciliation, and the interpretation failures that produce confidently wrong shipping decisions. Use this skill whenever the user is reading a finished experiment result panel and about to make a ship, kill, or iterate decision, or when an experiment number does not match the dashboard number. Triggers on read experiment results, result panel, ship or kill decision, p-value, confidence interval, statistical significance, multiple testing, peeking, sequential testing, CUPED, variance reduction, heterogeneous treatment effects, ratio metric, network effects, inconclusive test, experiment versus dashboard mismatch. Use `experiment-design` instead when the test has not run yet and the question is hypothesis, sample size, duration, or what to test.

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。

Experiment executor and monitor for academic research. 2-agent system covering code experiments (ML training, statistical analysis, ETL, simulation) and human studies (surveys, field studies, interviews). 4 modes: run (execute + monitor code), manage (track human studies), validate (statistical interpretation + reproducibility verification), plan (Socratic experiment design). Use when a researcher wants to run or monitor a research experiment, manage or resume a human-subject study, check the statistics or reproducibility of research results, or design an experiment or study, in English or Chinese (e.g., 跑實驗、管理研究、驗證結果、規劃實驗).

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。

Organize, categorize, and summarize business expenses for reimbursement and tax preparation. Use when a user asks to create an expense report, organize receipts, categorize expenses, summarize spending, prepare expenses for reimbursement, or compile business expenses for tax filing. Handles receipts, CSV data, and manual entries.

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 Expo for React Native development. Covers Expo Router, EAS Build and Submit, development builds, native module integration, and production deployment. Knows how to build cross-platform mobile apps efficiently while maintaining access to native capabilities. Use when "expo, react native, mobile app, eas build, expo router, ios android, expo, react-native, mobile, ios, android, eas, cross-platform" mentioned.

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。

把任意主题做成「讲解/科普视频」并渲染成 MP4：调研→审查→解说词→字幕→配音（edge-tts，或火山引擎语音合成 2.0）→**主题驱动风格编排**→并行构建 HTML 场景→确定性逐帧渲染→成片后出多画幅封面。**画面语言内置 23 个模板风格 / 8 个类别**（大胆信号卡、奢华极简、NYT 数据图表、瑞士网格、故障艺术、胶片漏光、流体 Hero、Logo 收尾、东方柔和有机、VFX 文字光标…共 23 种风格，含每种的画布/配色/字体/时间轴规范，见 references/style-catalog.md）。**v2.0 新增**：①**动效库**（`assets/motion.js`，5 组共 40+ 动作词汇：弹簧/进出场/承接/接触/运镜/环境光）；②**4K60 + 快门运动模糊**（`--quality / --fps / --profile`，线性光积分 + 三级快门闸门 `--shutter-only` / `--motion-hold`）；③**渲染提速**（多浏览器进程级并行 / `--png-fast` / `--jpeg` / `--resume` 断点续渲），且**渲染前必须先问用户选哪条中间帧通道**（`png-fast` / `jpeg q95` / `png` / `jpeg q82`，**默认推荐 `png-fast`**，四条都要列全并附速度对比与描述；未拍板由 `gate_check.py --phase render` 挡下）；④**主题驱动模板编排**（`scripts/style_director.py`，按内容类型/情绪/节奏/受众挑风格、混用与局部替换、动态开头与转场，不再一片一模板）。流程规范与音画同步体系承自 anything2explainer（词边界字幕、两级时钟、语速标定、多 agent 分工与 QC 判据），渲染层为自研 seek 式渲染器。**封面默认 16:9 + 3:4 两张**：抖音主封面 1920×1080 + 兼容主页栅格 3:4 的 1440×1080（独立重排，防切字）；**竖版投放再加 9:16 的 1080×1920**（左右并置必须改上下堆叠、上下边距让开平台 UI 层）。独立可移植：GSAP 内置、playwright-core 随包、ffmpeg 走 imageio-ffmpeg 回退、浏览器自动探测 Chrome/Edge；**不依赖 html-video / anything2explainer 任何代码或目录**。触发场景：要做科普/讲解/教学/知识/产品类视频、"讲一下 X 做成视频"、要用 html-video 那种模板化画面但更稳的音画同步、要挑某种视觉风格（极简/数据/赛博/电影感/品牌）出片、要出抖音封面/竖版封面/9:16 封面、anything2explainer 换 HTML 渲染、或提到 html-explainer / HTML 讲解视频 / explainer video / MG 视频。

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。

3D Web Experience workflow skill. Use this skill when the user needs Expert in building 3D experiences for the web - Three.js, React and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing 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。

This skill should be used when the user asks anything about Adobe After Effects — to "write an After Effects expression", "make a wiggle / loopOut / inertial bounce", "rig a control with a slider / null", "build a MOGRT / Essential Graphics template", "export AE to Lottie or Media Encoder"; OR to "export from After Effects", "export with transparency / an alpha channel", "fix a black background on export", "choose ProRes vs H.264", "which codec / what bitrate for 1080p / 4K", "stop H.264 disappearing from the Render Queue"; OR when "After Effects is slow / laggy / crashing / froze", "RAM preview won't play in real time", "AE is using all my memory / render takes forever", "how do I speed up After Effects"; OR to "organize my After Effects project", "relink missing footage", "fix broken links after moving files", "set a folder structure / naming conventions", "batch rename layers", or "write an ExtendScript / .jsx script". Covers expressions & rigging, export recipes, performance triage, and project hygiene.

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。

Nexscope keyword expansion tool that expands a seed keyword into a list of related keywords with search volume, trends, PPC bids, ranking difficulty, and other metrics, covering 10 Amazon marketplaces including US, UK, DE, JP, etc. Trigger when the user mentions keyword expansion, keyword mining, long-tail keyword mining, related keywords, keyword suggestions, keyword discovery, PPC bid research, keyword competition, keyword discovery, Nexscope keywords, keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, keyword mining. Even if the user does not explicitly mention "Nexscope", if their need involves finding more related keywords and their search volume, competition, and other metrics starting from a seed keyword, this skill should also be triggered.

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。

デジタルプロダクト系の専門領域（UI/UX, マーケティング, コピーライティング, ASO, グロース等）の 暗黙知を抽出・言語化・構造化し、他のSkillで使えるエージェント定義と評価基準を生成するスキル。 素人では判断できない「良い/悪い」の基準を、AI が専門家レベルで調査・分析・言語化し、 再利用可能なドメインナレッジとして出力する。 Use when: 評価基準を作りたい、ドメイン知識を抽出したい、専門家の視点を言語化したい、 暗黙知を構造化したい、ベストプラクティスを整理したい。 Triggers: "ドメイン知識", "専門知識", "評価基準", "domain expertise", "expertise extract", "知識抽出", "暗黙知", "ベストプラクティス抽出", "評価基準を作りたい", "専門家の視点", "ドメインナレッジ", "domain knowledge", "expertise builder"

Guide for multi-experiment batch operations: QC screening, batch download, comparison, and report generation across many ENCODE experiments simultaneously. Use when users need to process 5+ experiments together, create experiment comparison tables, perform batch quality checks, or generate summary reports. Trigger on: batch analysis, multiple experiments, bulk processing, experiment comparison, batch QC, multi-sample, batch download, experiment table, summary report, collection 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。

Use when gathering requirements for a customer portal, partner community, or self-service Experience Cloud site. Triggers: 'gathering requirements for customer portal', 'planning Experience Cloud site', 'what license for community portal', 'portal user journey mapping', 'self-service requirements'. NOT for building the site in Experience Builder — use admin/experience-cloud-site-setup. NOT for designing the deal-registration and MDF processes themselves — use admin/partner-community-requirements. More trigger keywords: portal persona licence matrix, which Experience Cloud licence do these requirements imply, external user needs a Contact and Account, sharing set vs sharing rule for a portal, self-registration vs SSO for a portal, portal requirements catalogue, handoff to Experience Cloud site setup.

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。

Autonomous growth experimentation framework: creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Use when asked to run growth experiments, analyze A/B tests, build experiment scorecards, or generate pacing alerts. For SEO-specific experiments see seo-ops; for outbound experiments see outbound-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。

Mint a new YYYY-MM-DD-exact-coding-baseline snapshot under research/workflow-dev/export/. Detects the current best correctness- oriented workflow from research/workflow-dev/workflow-construction.md (or takes an explicit source-workflow argument) and transforms it from a lab workflow into a consumer-ready one on three axes: strips lab-only measurement content, re-enables human-in-the-loop checkpoints, and converts auto-loading config into an explicitly-invoked skill. Supports both promoted EXACT Coding lines: Opus/Hybrid and SOL/Predictive TDD. Exports Claude Code, pi, OpenCode, cursor-agent and, for SOL, Copilot. Trigger when the user says "exact-coding baseline export", "neue exact-coding baseline", "exact-coding-baseline-export", or asks to refresh the baseline snapshot.

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。

Focused Signals scout for PostHog projects running A/B experiments. Watches running experiments for validity threats (sample ratio mismatch, multi-variant contamination, exposure stalls, mid-run flag mutations) and lifecycle drift (zombie experiments running long past their useful life, decided-but-still-running experiments, ended experiments whose flags still serve multiple variants). Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.

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 experiment state transitions: launching, pausing, resuming, ending, shipping variants, archiving, resetting, duplicating, and copying to another project. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each action. TRIGGER when: user asks to launch, pause, resume, end, ship, archive, reset, duplicate, or copy an experiment to another project. DO NOT TRIGGER when: user is creating an experiment (use creating-experiments), configuring rollout (use configuring-experiment-rollout), or setting up metrics (use configuring-experiment-analytics).

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。

Export PostHog events, persons, or sessions on demand and download the resulting files. Use when the user asks to download/export raw PostHog data, create a one-off file export, fetch a Parquet or JSONLines export, or use the file_download_batch_exports API. Covers starting the export with MCP, polling completion, and downloading via the existing REST redirect endpoint.

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。

Write a rigorous, decision-grade experiment spec — falsifiable hypothesis, primary metric, guardrails, randomisation unit, exposure definition, method (A/B, holdout, switchback, quasi-experiment, MAB), MDE/duration plan, peek policy, validity threats, and pre-committed decision rule. Platform-agnostic. Load when the user has a candidate experiment and needs to spec it before launch, or says "spec this experiment", "write the test plan", "design this A/B test", "what's the hypothesis", "how big a sample do we need", "how long should we run this", "define the metrics for this test", or when the experimentation orchestrator routes here.

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。

Node.js、Express、Next.jsのAPIとデータ処理を設計・見直すスキル。役割の分離、データベース最適化、キャッシュ、認証の実装例を示します。

• APIの設計と処理の役割分担
• データベースの問い合わせを減らしたいとき
• データ取得にキャッシュを追加したいとき