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Found 92 Skills
This skill should be used when designing terminal user interfaces, creating TUI layouts, choosing TUI color schemes, implementing keyboard navigation, building terminal dashboards, or working with any TUI framework. Activates on mentions of TUI design, terminal UI, Ratatui layout, Ink components, Textual widgets, Bubbletea views, terminal color palette, keybinding design, panel layout, split panes, terminal dashboard, box-drawing characters, sparklines, progress bars, modal dialogs, focus management, or terminal accessibility.
When the user wants to set up, optimize, or manage TikTok Ads. Also use when the user mentions "TikTok Ads," "TikTok for Business," "TikTok Pixel," "Events API," "TikTok Spark Ads," or "TikTok video ads."
Tenero (formerly STXTools) market analytics — token info, market stats, top gainers/losers, wallet holdings and trades, trending DEX pools, whale trades, holder distribution, and search. Covers Stacks, Spark, and SportsFun chains. No API key required.
Implement Syncfusion Windows Forms Sparkline controls for compact data visualization. Use this when working with sparklines, trend displays in condensed format, or high-density data visualization. This skill covers line, column, and WinLoss chart types, data point markers, high/low value highlighting, and lightweight graphical representations in Windows Forms applications.
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.
Generate optimized YouTube video titles that maximize click-through rates by sparking curiosity and complementing thumbnails. This skill should be used when the user asks to create, improve, or brainstorm YouTube video titles, or when working on YouTube content that requires title optimization.
Provides elevator pitch and verbal brand communication frameworks including Donald Miller's StoryBrand (SB7), Nancy Duarte's Sparkline, Chris Westfall's CLARITY, Andy Raskin's Strategic Narrative, Simon Sinek's Golden Circle, and time-based pitch structures (10s, 30s, 60s). Auto-activates during elevator pitch creation, one-liner development, brand pitch refinement, and verbal communication work. Use when discussing elevator pitches, one-liners, brand intros, verbal pitches, pitch coaching, spoken brand messages, or pitch variations.
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: "real-time pipeline", "Kafka consumer", "streaming vs batch", "low latency ingestion". Do NOT use for batch integration patterns (use integration-patterns-skill) or pipeline orchestration (use data-orchestration-skill).
Input a creator's original caption or script and receive 3-5 adapted ad copy variations optimized for awareness, consideration, and conversion objectives. This skill should be used when adapting creator content for paid ads, turning organic creator posts into ad copy, writing whitelisted ad variations from influencer content, creating spark ad captions from creator videos, generating partnership ad copy from UGC, converting creator scripts into paid media copy for Meta or TikTok, building ad copy variations by funnel stage from creator content, repurposing influencer captions for paid social, or writing ad text for boosted creator posts. For getting usage rights before running ads, see usage-rights-guide. For building content concepts before the creator films, see creator-content-concept-generator. For adapting content across organic platforms, see multi-platform-format-adapter.
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".
Use when you need multi-agent orchestration for OpenAI Codex CLI. Triggers on: omx, $plan, $ralph, $team, $autopilot, $deep-interview. v0.11.10 — 30+ agents, 35+ workflow skills, tmux team runtime, sparkshell, explore, ralplan.