Results for “temporal-queries”

Temporal Data

Current weather and forecasts with web_fetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.

Analiza series temporales: tendencia, estacionalidad y pronóstico con Prophet, statsmodels y ML, incluyendo descomposición, tests de estacionariedad y evaluación contra baselines.

Anchors work at the current moment and places events as spatial distances ahead or behind to improve temporal reasoning.

`task-agent`/`review-agent`: use when broker delivery, ordering, acknowledgement, DLQ, backpressure, or replay changes; skip synchronous retry without message semantics.

AI-optimized web search using the Tavily API for current events, domain-filtered research, answer summaries, and raw content extraction. Use when live web research needs cleaner LLM-ready results than generic search.

Tavily web search, content extraction, and research tools.

Time-Series Data

AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.

Discovers and invokes external APIs and tools dynamically through the QVeris service, using natural-language capability searches and parameterized execution.

通用时间抽象接口。当定义时间维度、时序关系、时间演化时调用此技能。

Discovers and executes external APIs and tools dynamically via the QVeris API, covering weather, stock data, web search, and more.

Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data for attack chain reconstruction and investigation documentation.

TanStack Query (React Query) — data fetching, caching, mutations, optimistic updates, infinite queries.

Query hyper-local weather from a WeatherFlow Tempest station: current conditions, 7-day forecast, historical observations, and real-time UDP broadcasts. Use when the user asks about the weather, temperature, rain, wind, humidity, forecast, or wants conditions from their own station rather than a generic weather service.

Work with quiz modes, question fetching, scoring, timers, and the unified question panel in QuizVerse.

Run machine learning and generative AI tasks directly in BigQuery SQL using built-in functions for forecasting, anomaly detection, key driver analysis, and text generation.

Detects and triages explicitly-unbounded AEM queries (p.limit=-1 or setLimit(-1)) that cause OOMs, safely capping only where provably safe and escalating others for human pagination.

Temporal interval algebra for reasoning about time relationships in planning and knowledge representation

AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.

Runs a relentless interview that asks every frontier question at once, round by round. Use when the user wants to be grilled on a design or map a design tree.

A component for formatting and displaying time values with support for relative time, custom formats, time zones, and Unix timestamps.

Best practices for MariaDB system-versioned (temporal) tables, covering creation, querying historical data, managing history growth, and handling ALTER TABLE operations.

Current weather and forecasts with wttr.in via curl for locations, rain, temperature, travel planning.

Advanced web search via Tavily through AIsa API. Supports search depth, topic filtering (general/news/finance), time ranges, domain inclusion/exclusion, and LLM-generated answers. Use when: the user needs web search, research, source discovery, or content extraction.

Run STORM phase 1 — multi-perspective research. This skill should be used when the user asks to "research a topic for an article", "find sources on X from multiple perspectives", "do storm research on X", or invokes /storm:research. Discovers personas, runs simulated Q&A per persona in parallel, and produces an information table + deduplicated sources.

Time (afag-time)

查询中国地区的天气预报，支持15天及逐小时预报、各种生活指数

Fetches real-time London transit data from the TfL API, including Tube and bus arrivals, line status, disruptions, journey planning, and route information.

Relational modelling lets you defer query design: normalize the entities, and

Imported skill tools from langchain

Domain-Driven Design patterns. Bounded contexts, aggregates, entities, value objects, domain events, repositories, and application services. Strategic and tactical DDD for complex business domains. USE WHEN: user mentions "DDD", "Domain-Driven Design", "bounded context", "aggregate", "value object", "domain event", "ubiquitous language", "aggregate root", "domain service" DO NOT USE FOR: database schema design - use database skills; CQRS/Event Sourcing specifics - use `event-sourcing-cqrs`

Use when querying a Rulebase workspace with SQL through the MCP server's query tool — writing queries that finish inside the statement timeout, and avoiding the join fan-outs that silently inflate QA evaluation counts. Trigger for "query my Rulebase data", "the query timed out", "statement timeout", "canceling statement due to statement timeout", counts that don't reconcile between two Rulebase queries, criterion counts exceeding team counts, or any multi-step analysis over Rulebase conversations and evaluations.

Discovers and invokes external APIs and tools dynamically through the QVeris service, covering weather, search, stock data, and more.

Query and manage Linear issues, projects, and team workflows.