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。
Production-ready Supabase database schemas for customers, subscriptions, payments, invoices, and webhook events with comprehensive Row Level Security policies. Use when setting up payment infrastructure, creati...
Database schema validation tools - SQL syntax checking, constraint validation, naming convention enforcement, and schema integrity verification. Use when validating database schemas, checking migrations, enforc...
End-to-end testing scenarios for Supabase - complete workflow tests from project creation to AI features, validation scripts, and comprehensive test suites. Use when testing Supabase integrations, validating AI...
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troublesh...
Production-ready database schema patterns for AI applications including chat/conversation schemas, RAG document storage with pgvector, multi-tenant organization models, user management, and AI usage tracking. U...
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inlin...
Scaffold new DLT pipeline for data ingestion to MotherDuck
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
High-performance CLI for working with SQL dump files: split/merge by table, analyze contents, validate integrity, convert between MySQL/PostgreSQL/SQLite/MSSQL, create FK-safe samples, shard multi-tenant dumps,...
Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...
Analyze datasets, generate charts, and create summary reports. Use when the user needs to work with CSV, Excel, or other tabular data formats for analysis or visualization.
Use when user asks about N+1 queries, performance optimization, query optimization, reduce API calls, improve render performance, fix slow code, optimize database, or reduce bundle size. Provides guidance on id...
Use this skill ONLY when creating a new data scanner (e.g., Twitter scanner, Bloomberg scanner). Do not use for agents or strategies.
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...
Analyze database queries and recommend missing indexes with performance impact analysis
Review database operations, migrations, and data persistence. Analyzes query safety, migration rollback, transaction boundaries, and data integrity. Use when reviewing migrations, models, repositories, or datab...
Pedantic backend PR workflow skill enforcing ClickUp-linked branch/PR naming, PR hygiene, safe Django migrations, and downtime-safe schema changes.
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained...
Database query optimization strategies. Use when improving query performance.
Database migration best practices and strategies. Use when managing schema changes.
Use XDB CLI to store and manage structured data. Use when you need to persist data, create schemas for tracking information (issues, scraped data, metrics, logs), or organize data by namespace for different pro...
Orchestrates concurrent workstreams via Task tool for non-trivial requests. Decomposes complex tasks into 3-10 parallel agents with independent scopes and synthesizes results. Use when requests involve: (1) mul...
Performance optimization and bottleneck detection. Identifies N+1 queries, memory leaks, async issues, and caching opportunities. Use when investigating slow operations, optimizing response times, or detecting...
Create and maintain ExecPlans for complex work (design-to-implementation) following the repo's ExecPlan standard.
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。