animate-svg-wrapper-instead-of-svg-element
enables hardware acceleration
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enables hardware acceleration
Optimization standards for rebuilds and memory.
Data analysis, scientific computing, visualization with pandas, numpy, matplotlib
多次元フィールドデータ(Field4D/Matrix等)の抽出ロジックと描画APIを、物理的整合性を保ちながら実装する
A/B testing framework for safe experimentation with statistical validation
Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing...
Data visualization and inspection skill. Use for (1) creating matplotlib/seaborn plots from data files or marimo notebooks, or (2) inspecting DataFrames by showing first N rows, column names, and dtypes. For pl...
Analyze Excel file structure including worksheets, headers, formulas, and data types.
Health overview for your entire book of business — Enterprise or SMB/Mid-Market
Unified analysis skill - Python data analysis (--data) or KB gap identification (--kb)
Create a new Ethereum data investigation page in the notebooks repo. Use when the user wants to add a new investigation, analysis, or research page that queries Xatu/ClickHouse data and visualizes findings with...
Use when editing docs/index.html, creating charts with Plot, adding SQL cells, loading data with FileAttachment, or building visualizations. Triggers on any editing of docs/index.html, Observable notebooks, or...
loads large data only when needed
Investigate missing SST (NoSuchKey) incidents in TiKV/TiFlash/S3 logs. Use when you need to trace an SST ID across pods, map it to shard_id/region_id, correlate compaction and cleanup events, and update investi...
reduces data transfer size
Framework for ensuring data quality
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Design dimensional models and fact tables.
Clean data modeling with Pydantic, strict typing, and database hygiene. Use when designing data structures or working with storage.
Otimização e padronização da interação com o banco de dados Supabase e engenharia de dados.
Comprehensive guide and patterns for migrating Apache Airflow 2.x workflows to Airflow 3.x, covering import changes, deprecated features, and new paradigms like Asset scheduling and TaskFlow API.
Troubleshoot Kafka, ZooKeeper, and Broker issues. Use when debugging service failures, connection issues, or unexpected errors in the Kafka cluster.
Interactive learning guide for stream processing concepts from DDIA Chapter 11. Use when the user wants to learn about stream processing, messaging systems, event-driven architectures, Kafka, or needs help with...
Implement change data capture and event-driven sync.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.