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Found 192 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.
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.
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."
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Generate financial analytics and insights from ~/Documents/finances/ data. Terminal report shows: net worth trends (30d/90d/1y), asset allocation, liability table with APR and monthly interest, cash flow (last 30 days), Bitcoin detail with sparkline. HTML dashboard: interactive plotly charts for all of the above over time. Use when: reviewing finances, answering questions about net worth, spending patterns, debt paydown progress, Bitcoin holdings, asset allocation. Keywords: financial report, net worth, spending, cash flow, debt, liabilities, bitcoin, how am I doing financially, finances summary, show me my finances, portfolio.
This skill helps the agent generate or update orchestration pipeline definitions for Google Cloud Composer to initialize orchestration pipeline or update the orchestration definition for orchestration of various data pipelines, like dbt pipelines, notebooks, Spark jobs, Dataform, Python scripts or inline BigQuery SQL queries. This skill also helps deploy and trigger orchestration pipelines.
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/TumblingWindow, materialize_features, streaming Kafka features). NOT for: endpoint ops (databricks-model-serving), MLflow evaluation (databricks-mlflow-evaluation).
Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services. Applies when a user asks where to store or archive data based on their usage patterns; which storage service to choose or how two compare; how to migrate data from on-premises or between AWS services; how to protect, replicate, or recover data; how to optimize storage costs; where to deploy shared NFS, SMB, or POSIX file systems; where to store vector embeddings or tabular data; what storage backs enterprise file shares, self-managed databases on EC2, VMware, or stateful containers; or asks what an AWS storage service can do or how it works. Relevant for storage needs for workloads such as AI/ML, analytics, EDA, HPC, media, genomics, or financial trading. Not applicable for SQL query engines (Athena, Spark, Redshift, EMR), ETL (Glue), streaming (Kafka, MSK, Kinesis), or managed database services (RDS, Aurora, DynamoDB).
Install and configure NVIDIA NemoClaw (sandboxed OpenClaw agent platform) on Linux. Handles cloudflared tunnels, Docker cgroup fixes, OpenShell, sandbox creation, remote access via Cloudflare Tunnel, and known bug workarounds. Triggers: "install nemoclaw", "setup nemoclaw", "nvidia nemoclaw", "openclaw setup", "nemoclaw on spark", "nemoclaw on dgx".
Unified entry for Feishu Visualization and Display, responsible for selecting appropriate carriers, and covering whiteboard, Slides, Miaobi BOX dynamic components, Miaoda HTML applications, and unified data visualization design specifications. This Skill must be used when users request whiteboard/whiteboard, architecture diagrams, flowcharts, flywheels, fishbone diagrams, roadmaps, posters, illustrations, SVG/Mermaid, data charts or dashboards, creating Slides/PPT, embedding dynamic ECharts/maps/3D/window.magic components, or publishing HTML applications with Miaoda/Miaoda/spark. Message cards are constructed and sent by feishu-cli-messaging; Markdown chart import is executed by feishu-cli-docs.
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 for SQL queries, database schema design, ETL pipelines, data transformations (pandas/Spark), and data validation.