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Found 308 Skills
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".
Control which data each viewer sees in an embedded Domo dashboard/card via server-side programmatic filters and dataset switching. Covers the OAuth → embed token flow, standard filters, SQL filters (OR/BETWEEN/LIKE), per-dataset targeting, datasetRedirects for multi-tenant architectures, and token size limits. Use for any per-viewer, per-role, or per-tenant data restrictions at embed time. Not for client-side JS API filtering (use cap-de-jsapi-filters).
Sets up Enonic XP event listeners, webhook configurations, and external system integrations triggered by content lifecycle events. Covers lib-event listener registration, node event filtering, outbound webhook configuration via com.enonic.xp.webhooks.cfg, custom HTTP service controllers for inbound webhooks, task-based async processing with lib-task, and outbound HTTP calls with lib-httpClient. Use when listening for content publish/create/update/delete events, configuring outbound webhooks, building HTTP service endpoints for inbound webhooks, or triggering async processing on content changes. Do not use for content querying, frontend component development, non-Enonic event systems, or GitHub webhook configuration.
Implement the Syncfusion Angular ListBox component for selection and data display. Use this when building interactive list interfaces with single or multiple selection modes. This skill covers drag-and-drop functionality, grouped data display, icons and templates, filtering, and accessibility support for enterprise-grade list components in Angular applications.
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management. One step per invocation. State machine: init → choose_task → implementation → review → fix → cleanup → sync → update_done. Supports --from-task and --to-task for task range filtering. State persisted in fix_plan.json.
Cloutboost platform help — gaming influencer marketing platform with 1.5M+ creator database across YouTube, Twitch, and TikTok, plus managed agency services. Covers Portal (influencer discovery, 20+ search filters, game-genre filtering), campaign management (outreach, scheduling, content review, approval), automated analytics and reporting, retargeting (repurposing influencer content for paid ads), and PR/media relations for game launches. Use when struggling to find the right gaming creators, Cloutboost campaign not getting enough creator applications, Portal search filters not narrowing results well, campaign reports hard to interpret, or unsure whether to retarget with influencer content. Do NOT use for influencer marketing strategy across platforms (use /sales-influencer-marketing), gaming marketing strategy (use /sales-gaming-marketing), general retargeting strategy (use /sales-retargeting), or PR strategy (use /sales-media-relations).
Guide for implementing Syncfusion Blazor ListView component. Use this when building list-based interfaces with data binding, filtering, grouping, virtual scrolling, selection modes, and custom templates. Covers installation, templating, event handling, and advanced patterns.
Implement Syncfusion React ListView component for displaying dynamic lists with single/multiple selection, templates, filtering, grouping, drag-drop, and virtualization. Use this when you need list visualization, item management, selection handling, custom templates, and data filtering. Supports local/remote data binding, checkboxes, animations, RTL, and accessibility features.
Build and maintain the Hermes Atlas ecosystem map with quality filtering, RAG chatbot, and live GitHub star tracking
Use when writing or modifying Python code that imports `genoray` to read genotypes/dosages from VCF, PGEN, or SparseVar (`.svar`) files. Covers the public API surface, mode constants, range queries, chunking, filtering, and the SparseVar workflow. Skip for unrelated bioinformatics work.
Download videos, audio, playlists, and channels from YouTube and 1000+ websites using yt-dlp. Supports quality selection, format conversion, subtitle download, playlist filtering, metadata extraction, thumbnail download, and batch operations. Use when downloading YouTube videos in any quality (4K, 8K, HDR), extracting audio as MP3/M4A/FLAC, downloading entire playlists/channels, getting subtitles in multiple languages, converting to specific formats, downloading live streams, archiving content, or batch processing multiple URLs. Optimized for reliability with automatic retries, rate limiting, and error handling.
Install and extend data-table-filters — a React data table system with faceted filters (checkbox, input, slider, timerange), sorting, infinite scroll, virtualization, and BYOS state management. Delivered as 9 shadcn registry blocks installable via `npx shadcn@latest add`. Use when: (1) installing data-table-filters from the shadcn registry, (2) adding extension blocks (command palette, cell renderers, sheet panel, store adapters, schema system, Drizzle helpers, query layer), (3) configuring store adapters (nuqs/zustand/memory), (4) generating table schemas from a data model, (5) wiring up server-side filtering with Drizzle ORM, (6) connecting the React Query fetch layer, (7) troubleshooting integration issues. Triggers on mentions of "data-table-filters", "data-table.openstatus.dev", filterable data tables with shadcn, or any of the registry block names.