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Found 4,735 Skills
Execute authoring T-SQL (DDL, DML, data ingestion, transactions, schema changes) against Microsoft Fabric Data Warehouse and SQL endpoints from agentic CLI environments. Use when the user wants to: (1) create/alter/drop tables from terminal, (2) insert/update/delete/merge data via CLI, (3) run COPY INTO or OPENROWSET ingestion, (4) manage transactions or stored procedures, (5) perform schema evolution, (6) use time travel or snapshots, (7) generate ETL/ELT shell scripts, (8) create views/functions/procedures on Lakehouse SQLEP. Triggers: "create table in warehouse", "insert data via T-SQL", "load from ADLS", "COPY INTO", "run ETL with T-SQL", "alter warehouse table", "upsert with T-SQL", "merge into warehouse", "create T-SQL procedure", "warehouse time travel", "recover deleted warehouse data", "create warehouse schema", "deploy warehouse", "transaction conflict", "snapshot isolation error".
Analyze lakehouse data interactively using Fabric Livy sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-based analysis — NOT for simple SQL queries. Triggers: "PySpark", "Spark SQL", "analyze with PySpark", "Spark DataFrame", "Livy session", "lakehouse with Python", "PySpark analysis", "PySpark data quality", "Delta time-travel with Spark".
Develop Microsoft Fabric Spark/data engineering workflows with intelligent routing to specialized resources. Provides core workspace/lakehouse management and routes to: data engineering patterns, development workflow, or infrastructure orchestration. Use when the user wants to: (1) manage Fabric workspaces and resources, (2) develop notebooks and PySpark applications, (3) design data pipelines and orchestration, (4) provision infrastructure as code. Triggers: "develop notebook", "data engineering", "workspace setup", "pipeline design", "infrastructure provisioning", "Delta Lake patterns", "Spark development", "lakehouse configuration", "organize lakehouse tables", "create Livy session", "notebook deployment".
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Use when you need to implement or improve Java metrics observability with Micrometer — including meter design, naming/tag conventions, cardinality control, timers/counters/gauges/distribution summaries, percentiles/histograms, Actuator/Prometheus integration, and metrics validation through tests. This should trigger for requests such as Improve metrics; Apply Micrometer; Add metrics observability; Refactor Micrometer instrumentation. Part of cursor-rules-java project
A unified Flutter-based AI client supporting local on-device GGUF model inference and cloud API fallback for building privacy-focused LLM applications.
Macro-economic and cross-asset analysis for crypto market context. Use this skill whenever the user asks about the broader economic environment and its effect on crypto or risk assets. Triggers include: macro outlook, interest rates, Fed policy, rate cut, rate hike, FOMC, yield curve, inverted yield curve, recession risk, inflation, CPI, PCE, jobs data, unemployment, GDP, 10-year yield, 2-year yield, spread, dollar strength, DXY, risk-on, risk-off, gold correlation, BTC vs S&P, cross-asset correlation, global markets, tech earnings impact on crypto, forex rates, euro, yen, China market, A-shares, economic calendar, macro environment.
Cross River integration. Manage data, records, and automate workflows. Use when the user wants to interact with Cross River data.
Make cross-contract calls in MultiversX smart contracts. Use when calling another contract, handling callbacks, managing back-transfers, using typed proxies, or sending tokens via the Tx builder API (.tx().to()).
Complete knowledge domain for Cloudflare Cron Triggers - scheduled execution of Workers using cron expressions for periodic tasks, maintenance jobs, and automated workflows. Use when: scheduling Workers to run periodically, adding cron triggers to Workers, configuring scheduled tasks, testing cron handlers, combining crons with Workflows, enabling Green Compute, handling multiple schedules, or encountering "scheduled handler not found", "cron expression invalid", "changes not propagating", "handler does not export", "timezone issues" errors. Keywords: cloudflare cron, cron triggers, scheduled workers, scheduled handler, periodic tasks, background jobs, scheduled tasks, cron expression, wrangler crons, scheduled event, green compute, workflow triggers, maintenance tasks, scheduled() handler, ScheduledController, UTC timezone
Query 10 Google verticals (search, news, images, videos, places, maps, shopping, scholar, patents, autocomplete) as structured data via @microlink/google. Use when users need to fetch Google search results programmatically, scrape Google SERP data, build search-powered features, retrieve Google News or Shopping data, get place/map coordinates, find academic papers, or work with any Google vertical through a unified Node.js API.
Landing page and marketing page conversion rate optimization covering value proposition clarity, headline effectiveness, CTA hierarchy, visual flow, social proof placement, objection handling, and structured A/B testing.