发现 devops data engineering 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Use this skill whenever the user wants to design, set up, or refactor Cloudflare D1 database usage in a Hono + TypeScript app running on Cloudflare Workers/Pages, including schema management, bindings, query pa...
Use this skill whenever the user wants to design, run, or refine Cloudflare D1 schema management, migrations, and data seeding for dev/staging/production environments, especially in conjunction with Hono/Worker...
Perform comprehensive exploratory data analysis on research data. Automatically analyze data structure, quality, distributions, and generate insights. Use when the user provides a dataset, asks to "explore data...
Compact context at natural breakpoints to free tokens and continue working. Use PROACTIVELY at phase boundaries, after commits, or when token usage >150k. Better than random auto-compact. Supports custom compac...
Complete database migration workflow and schema management for Wasp projects. Use when modifying schema.prisma, running migrations, or working with database models. Includes MANDATORY restart requirement and Po...
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering. Activates when users write DataFusion queries o...
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning,...
Perform SQL joins and multi-table analysis on DST data in DuckDB. Use when research requires combining multiple tables on common dimensions (time, region). Provides patterns for common DST dimension joins and m...
Fetch actual data from Danmarks Statistik API and store in DuckDB. Use when user wants to download and store specific DST table data for analysis.
Proactively analyzes Parquet file operations and suggests optimization improvements for compression, encoding, row group sizing, and statistics. Activates when users are reading or writing Parquet files or disc...
Check data freshness and age for DST tables in DuckDB. Use when determining if data needs refreshing or validating data currency before analysis.
Design database schemas, plan migrations, optimize queries, and manage data models. Covers relational databases (PostgreSQL, MySQL, SQLite), document databases (MongoDB), and ORM integration (Prisma, Drizzle, T...
Transform → Validate → Optimize pipeline (auto-chained)
Write SQL queries, optimize database performance, design schemas, and debug SQL issues. Use for database operations, query optimization, and schema design.
Parse, analyze, transform, and manipulate CSV files. Use for data processing, cleaning, and CSV operations.
Designs and builds Axiom dashboards via API. Covers chart types, APL patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.
Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SP...
GCP access for developers - BigQuery data analysis, GCS viewing, GKE info (GCP开发者访问：BigQuery、GCS、GKE)
Write, test, deploy, and troubleshoot Ray Data jobs for large-scale data processing with GPU/CPU coordination
Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript quer...
Expert guidance for migrating Logseq graphs from Markdown (MD) format to the new Database (DB) format. Auto-invokes when users ask about MD to DB migration, converting graphs, import options, data transformatio...
Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.
Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL...
Use dtctl CLI tool for querying observability data in Dynatrace via DQL (logs, metrics, traces, ...) and to manage Dynatrace platform resources (workflows, dashboards, notebooks, SLOs, settings, buckets, lookup...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。