「zat」の検索結果

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

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。

Optimize for search engine visibility and ranking. Use when asked to "improve SEO", "optimize for search", "fix meta tags", "add structured data", "sitemap optimization", or "search engine optimization".

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。

Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.

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。

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

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。

AgentDB Vector Search Optimization operates on 3 fundamental principles:

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 agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

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。

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

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 agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

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。

Answer Engine Optimization (AEO) audit methodology for LLM visibility. Use when auditing brands for ChatGPT/Gemini mentions, checking LLM citations, analyzing AI search visibility, or when user mentions "AEO", "LLM visibility", "ChatGPT mentions", "Gemini citations", or "AI search optimization".

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。

Maintain authorization-policy OAuth login without an authentication portal, including provider selection, directive parsing, gatekeeper callbacks, opaque sessions, ACL checks, logout, lifecycle, TLS E2E tests, and embedding contracts. Upstream protocol and JWT verification remain with oauth-identity-provider.

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。

Maintain required external authorization decisions, gatekeeper and validator hooks, the HTTP JSON plugin, reusable parsers, and protected-request E2E coverage. Excludes credential authentication and claims enrichment.

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。

Maintain authorization ACL rules, typed custom claim fields, their reusable parser, policy integration, and signed-token or authenticated-user E2E coverage.

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。

Benchmark clean and incremental Xcode builds, surface compile and configuration hotspots, and produce an approval-first optimization plan before changing project files.

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 Remotion compositions for performance issues and provides optimization recommendations. Identifies expensive computations, unnecessary re-renders, large assets, memoization opportunities, and architecture improvements. Use when optimizing render times or when asked to "improve performance", "speed up renders", "optimize Remotion video".

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 performance marketing guidance for paid acquisition, CRO, and growth optimization. Use when creating ad campaigns, writing ad copy, optimizing landing pages, setting up A/B tests, analyzing CAC/LTV, building attribution models, or planning retargeting strategies. Use for Google Ads, Meta Ads, LinkedIn Ads, conversion tracking, budget allocation, and funnel optimization.

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去除 NSFC 标书中的 AI 机器味，覆盖词语、句法、段落和章节层，尤其处理伪对立、工程协议腔、规格书式字段串、术语漂移、边界声明过重和研究动作不清（不适用：非标书内容/需修改格式/需补充新内容）；兼容旧名 nsfc-humanization 的润色请求

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。

Optimize for search engine visibility and ranking. Use when the task involves `improve SEO`, `optimize for search`, `fix meta tags`, `add structured data`, `sitemap optimization`, or `search engine optimization`.

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 SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data".

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。

Builds revolving securitization models with replenishment criteria, early amortization triggers, and portfolio composition limits. Use when modeling revolving structures, analyzing credit card ABS, or evaluating asset purchase criteria.

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。

Structures dividend recap analysis with leverage impact, credit agreement compliance, and return enhancement calculation. Use when modeling dividend recaps, evaluating interim distributions, or analyzing recapitalization options.

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 buyback program design with timing optimization, price sensitivity, and EPS accretion impact modeling. Use when optimizing buybacks, modeling repurchase economics, or comparing return-of-capital alternatives.

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。

Structures fresh-start accounting analysis with reorganization value allocation, new basis determination, and emergence balance sheet. Use when modeling fresh-start accounting, preparing emergence financials, or allocating reorganization value.

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。

Builds mean-variance, Black-Litterman, and risk parity optimization models with constraint management and rebalancing rules. Use when optimizing portfolios, implementing risk parity, or applying Black-Litterman views.

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。

Coordinates large block execution with market impact minimization, counterparty selection, and crossing network utilization. Use when executing block trades, managing large orders, or minimizing market footprint.

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。