wikidata-knowledge
Query Wikidata for structured knowledge using SPARQL and entity search. Use when: (1) finding structured facts about entities (people, places, organizations),…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-31 00:15
17,195 results
Query Wikidata for structured knowledge using SPARQL and entity search. Use when: (1) finding structured facts about entities (people, places, organizations),…
Generate realistic mock datasets and seed scripts aligned with the demo flow, or warn if mocking is forbidden by rules.
Fetch full product detail from a Taobao or Tmall product page by itemId, returning title, price, shop info, images, SKU variants, and product attributes. Use…
Browse a Taobao or Tmall shop's product catalog by shopId, returning paginated product listings with itemId and title. Use when user asks to scrape a Taobao…
Volcengine Managed Prometheus (VMP) query skill, used to query VMP workspaces and query Prometheus metric data.
Implements Clix event tracking (Clix.trackEvent) with consistent naming, safe property schemas, and campaign-ready validation. Use when adding, reviewing, or…
Analyze OHLCV data to identify candlestick patterns, support/resistance levels, trend formations, and technical indicators. Activates when users ask about…
Build trading systems in the style of Two Sigma, the systematic investment manager pioneering machine learning at scale. Emphasizes alternative data,…
Compare indexed television coverage across stations and shows with Crawlora GDELT TV search, charts, timelines, and discovery. Use for a bounded broadcast…
Analyze public BBB business complaint narratives, response threads, statuses, and reporting-window totals using Crawlora. Use for a sourced complaint-pattern…
Find developers through Crawlora public GitHub user datasets and verify relevant repository and contribution evidence. Use for role-specific technical…
Research observed Steam price history and compare current game editions or PlayStation offers using Crawlora. Use for a dated discount brief, observed…
Build requirements-based open-source project shortlists using Crawlora GitHub metadata, releases, contributors, and public project documentation. Use to…
Use when implementing Realm database in iOS apps, encountering thread-safety errors, async/await crashes, performance issues with sync/writes, or integrating…
Implement VIP (View-Interactor-Presenter) Clean Architecture for iOS apps requiring maximum testability, unidirectional data flow, and protocol-based…
Expert guidance for Dagster data orchestration including assets, resources, automation, testing, ETL patterns, and project structure. Use when deciding how to…
SpacetimeDB CLI reference for initializing projects, building modules, publishing databases, querying data, and managing servers
Use when writing database access code, creating schemas, or managing transactions with PostgreSQL - enforces transaction safety with TX_ naming, read-write…
**Data Analysis Report Generator**: Analyzes Excel/CSV data to automatically generate visualization reports in Korean-style report formats. Includes executive summary reports, KPI dashboards, and insight analysis. - MANDATORY TRIGGERS: data analysis, data report, KPI,…
Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with…
Use when user mentions phab, phabalicious, deployment tasks, copying data between environments, or needs help with dev/staging/production workflows - provides…
Use public data to quantify whether copper supply is overly concentrated, whether major producing regions are in structural decline, and whether substitute incremental supply depends on a small number of countries, and output actionable medium-term supply risk conclusions and scenario projections.
Calculate the deviation of asset prices relative to the long-term exponential growth trendline, assessing whether the current level is in a historically extreme range, and optionally performing macro factor analysis to determine the market regime.
Use leading and coincident indicators to construct a business cycle model, and interpret two business cycle phases: the expansion phase (Risk-On) and the contraction phase (Risk-Off), and based on theory provide "Iceberg" and "Sinking" event signals.