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Found 312 Skills
Redis Query Engine (RQE) guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR), DIALECT 2 query syntax, efficient FT.SEARCH and FT.AGGREGATE queries, zero-downtime index updates via aliases, and the SKIPINITIALSCAN option. Use when defining a search index on Hash or JSON documents, picking between TEXT and TAG for filtering, writing FT.SEARCH queries with filters and SORTBY, managing or swapping indexes in production, or troubleshooting slow searches with FT.PROFILE.
Use this skill when users need to create, generate, or validate Salesforce List View metadata. Trigger when users mention list views, filtered record lists, creating views, setting up record columns, filtering records by criteria, or ask about list view visibility. Also use when users say things like "I need a view that shows...", "filter records by...", "create a list view for...", or when they're working with ListView XML files and need validation or troubleshooting.
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
Guide to accessing device logs on iOS and Android for Capacitor apps. Covers command-line tools, GUI applications, filtering, and real-time streaming. Use this skill when users need to view device logs for debugging.
Review open issues, selecting an issue to work on, filtering issues by area, pulling GitHub issues, or deciding what to work on next. Triggers include "check issues", "list issues", "what issues", "open issues", "show issues", "view issues", "select issue to work on", "github issues", "backlog issues", "pull issues", "check todos" (deprecated), "list todos" (deprecated), "pending todos" (deprecated).
Core bioinformatics concepts including SAM/BAM format, AGP genome assembly format, sequencing technologies (Hi-C, HiFi, Illumina), quality metrics, and common data processing patterns. Essential for debugging alignment, filtering, pairing issues, and AGP coordinate validation.
Tools for reading and analyzing Arduino serial monitor output for enhanced debugging. Provides real-time monitoring, data logging, filtering, and pattern matching to help troubleshoot Arduino sketches using arduino-cli or Arduino IDE.
Best practices for Convex database queries, indexes, and filtering. Use when writing or reviewing database queries in Convex, working with `.filter()`, `.collect()`, `.withIndex()`, defining indexes in schema.ts, or optimizing query performance.
TanStack Table best practices for building headless, type-safe data tables in React with sorting, filtering, pagination, row selection, and column management. Use when building data grids, implementing client-side or server-side table features, defining column structures, managing table state, or optimizing table rendering performance.
Guide for querying and filtering CSV files using DuckDB SQL
Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".