「query」の検索結果

Activate Specification Know-How: load the SpecBook format contract, the SpecBook schema configuration of the project, and the list of specification (SPEC) artifacts into the context, so the specification can be read, queried, explained, and edited ad-hoc in plain conversation. Use *automatically* whenever the user wants to work with the specification files -- asks what the "spec" or "specification" says, wants to "look up", "query", "check", or "explain" specification content, or wants a small ad-hoc change to it -- and no dedicated specification skill (`ase-spec-edit`, `ase-sync-import`, `ase-sync-reconcile`, `ase-sync-export`) is invoked, as those activate the know-how implicitly.

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Twitter/X 公开社交数据查询与传播分析 skill，通过 MaxHub API 查询推文、回复、用户资料、关注/粉丝、搜索、趋势和相关互动。适合舆情监测、账号画像、话题传播、竞品研究和内容分析。默认 read-only；agent 应优先使用 recipes，按 tweet_id/user_id/username/query 等字段流链式调用，并对个人社交数据与 UGC 做最小化处理。所有请求发送到 https://www.aconfig.cn。

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 an AEO-first topical map optimized for AI search citation — entity clusters, query fan-out coverage, information gain scoring, and multi-platform distribution. Produces entity map, content node architecture, schema blueprint, and 90-day publishing calendar. Use when "topical map", "content architecture", "site structure", "topic clusters", "pillar content plan", "AEO map", "AI search architecture", "entity map", "what content should we build", or any request to plan a site's topical structure for AI search visibility.

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 and query architecture-aware code search, dependency graphs, call flows, impact analysis, and belief maps for Python, TypeScript, TSX, Rust, C#, Java, Go, Ruby, and Ruby on Rails repositories. Use before non-trivial code changes to find module boundaries, blast radius, architecture violations, and the minimal source files to read.

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。

选择和实现状态管理方案时使用。覆盖 React (Redux Toolkit / Zustand / Jotai / Valtio / TanStack Query) / Vue (Pinia) / Angular (NgRx / Signals) / Svelte (Stores / Runes)。融合客户端状态 + 服务端状态分离。

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。

审查 SQL、分析慢查询和提出查询优化建议时使用。适用于执行计划分析、N+1、分页排序、聚合过滤和查询重写。融合 EXPLAIN 解读、ESR 反推、ORM 陷阱识别。

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。

Query Google Places for text search, place details, resolve, reviews, or scriptable JSON via goplaces.

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。

Swap ERC20 tokens across supported chains via OpenSea's cross-chain DEX aggregator. Get quotes with optimal routing, check token balances, and execute swaps. For NFT trading use opensea-marketplace, for querying token data use opensea-api.

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。

Query OpenSea marketplace data via the official CLI, SDK, MCP server, or shell scripts. Get floor prices, collection stats, NFT details, token data, trending collections, drops, events, search, favorites, profile and collection settings, and other wallet-scoped operations. For trading use opensea-marketplace, for token swaps use opensea-swaps.

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Build, register, and gate AI-callable tool endpoints using the OpenSea Tool Registry (ERC-8257) on Base. Scaffold HTTPS tools with JSON Schema interfaces, register them onchain, gate access via NFT ownership, subscriptions, trait gating, or x402 pay-per-call (USDC), and call gated tools. For querying OpenSea marketplace data use opensea-api instead.

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。

Query NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base. Covers the full OpenSea developer surface across CLI, MCP server, shell scripts, and SDK. Pick the right sub-skill using the routing table below, then read that sub-skill's SKILL.md for operational detail.

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。

A source-backed ASE skill for Beekeeper Studio, the SQL editor and database manager for Linux, macOS, and Windows. It fits workflows that need a real client for querying, browsing tables, and working across PostgreSQL, MySQL, SQLite, SQL Server, and other supported databases.

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 Bazel build dependency graphs to identify bottlenecks and optimize build times. Uses the Bazel Query Language (BQL), Action Graph API, and Build Event Protocol (BEP) for deep build 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。

Uses AWS SDK CloudWatchClient GetMetricData and CloudWatch Logs Insights StartQueryExecution to automate incident triage. Correlates alarms via DescribeAlarms with X-Ray trace segments for root cause 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。

Builds CloudWatch Logs Insights queries and metric alarms using AWS SDK v3 (@aws-sdk/client-cloudwatch-logs, @aws-sdk/client-cloudwatch). Generates cross-account observability dashboards with CloudWatch Metrics Insights.

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 AWS CloudWatch Logs using the CloudWatch Logs API and Logs Insights query syntax. Identifies error patterns, calculates error rates, and generates metric filters from log 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。

Diagnoses firing AWS CloudWatch alarms by querying CloudWatch Metrics, alarm history, and related AWS Config resource snapshots via the AWS SDK. Correlates metric anomalies with recent infrastructure changes to suggest root cause hypotheses. Outputs a structured incident summary with remediation 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。

The Atlassian Rovo MCP Server bridges your Atlassian Cloud workspace with any MCP-compatible client. Search and summarize Jira issues, create tickets from natural language, update Confluence pages, and query Compass services.

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。

Query Chinese A-share, ETF, index, financial statement, valuation, capital-flow, and technical-indicator data through the AShareHub Python SDK and hosted API. Use this skill when an agent needs structured China market data as pandas DataFrames.

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。

Apache Superset is a widely adopted open-source BI platform for SQL exploration, chart building, and dashboard delivery. This skill is useful when an agent needs to query warehouse data, assemble dashboards, or explain metrics using a mature analytics interface instead of ad hoc notebook code.

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。

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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。

Database design, query optimization, migrations, and indexing. Use when designing schemas, writing queries, or managing migrations.

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。

Testing Library patterns for user-centric, accessibility-driven component testing. Covers query priority, user events, async utilities, and practical patterns for testing React, Vue, and DOM components the way users interact with them. Use when the task involves `Testing Library`, `@testing-library/react`, `React component testing`, `accessible testing`, or `user-centric testing`.

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。

Read your Threads (Meta) audience and niche from real data. Scan a niche query or hashtag for the top posts right now with likes, replies, reposts, and quotes, and pull a profile (yours or a competitor) for follower count, bio, verified status, and recent posts with engagement. Powered by Apify, no login. Triggers on "analyze Threads", "what is working on Threads", "top posts for", "competitor Threads profile", "niche scan", "follower count". Not for writing posts (use threads-post-writer).

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。