GitHub
my-indexer
This skill should be used when the user asks to "migrate from subgraph", "convert subgraph to hyperindex", "migrate from thegraph", "port subgraph", "convert subgraph handlers", "migrate assemblyscript to types...
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devops data engineering AI 技能
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。
分类目录: devops data engineering
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GitHub
construction-document-ingestion
Process construction estimate documents (Excel/CSV/PDF) from Supabase and convert them to EstimationElement format. Use when users need to ingest construction estimates, DQE (Descriptive Quantitative Estimate),...
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GitHub
database-upload
Upload estimation results to Supabase storage and register with Estimator API. Final phase of the estimation workflow.
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GitHub
d3-core-data
Use when working with data transformations, scales, color schemes, formatting, or CSV/TSV parsing. Invoke for data processing pipelines, scale creation, color interpolation, number/date formatting, or data load...
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GitHub
mxql
Complete MXQL (Metrics Query Language) toolkit for generating, analyzing, validating, and testing queries. Supports conversational query generation, automated validation, comprehensive analysis with optimizatio...
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GitHub
full-stack-optimizer
Multi-agent orchestration for comprehensive frontend + backend improvements. Use when user requests "improve the app", "optimize functionality", "make it perfect", or "enhance the system". Deploys specialized a...
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GitHub
create-adr
Create Architecture Decision Records (ADRs) documenting key architectural choices. Analyzes context, evaluates alternatives, and captures decisions using standard ADR template. Use when documenting database des...
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GitHub
polars
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipeline...
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GitHub
duckdb
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run compl...
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GitHub
db-seeder
This skill should be used when seeding databases with realistic fake data for development, testing, or staging environments. Supports PostgreSQL, MySQL, SQLite, MongoDB with ORM-based seeding (SQLAlchemy, Djang...
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GitHub
data-lake-management
Data Lake architecture and management including medallion architecture (bronze/silver/gold zones), data catalog with AWS Glue, partitioning strategies, schema evolution, data quality, governance, cost optimizat...
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GitHub
dbt-development
Proactive skill for validating dbt models against coding conventions. Auto-activates when creating, reviewing, or refactoring dbt models in staging, integration, or warehouse layers. Validates naming, SQL struc...
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GitHub
designing-dynamodb-tables
Specialized skill for designing AWS DynamoDB single-table schemas with optimized access patterns. Use when modeling data, designing table structure, or optimizing DynamoDB queries for production applications.
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GitHub
postgres-manager
Manage PostgreSQL databases using Postgres MCP. Query data, inspect schemas, analyze table structures, run migrations, debug database issues, and manage test data. Use when working with databases, debugging que...
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GitHub
python-data-engineering
Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services,...
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GitHub
query-optimization
Automatically applies when optimizing database queries. Ensures EXPLAIN analysis, proper indexing, N+1 prevention, query performance monitoring, and efficient SQL patterns.
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GitHub
sql
Database querying and analysis using SQLAlchemy 2.0+ with support for PostgreSQL, MySQL, SQLite, and SQL Server. Use when tasks require: (1) Querying databases via SQL, (2) Reading data into DataFrames for anal...
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GitHub
query-data
Expert guide to the auto-generated GraphQL API (Queries, Mutations, Aggregations).
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GitHub
data-modeling
Expert guide to defining enterprise-grade data models in Simple Configuration Language (SCL).
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GitHub
databricks-apps
Databricks Apps deployment, debugging, and configuration management. Use when working with Databricks Apps issues including deployment failures, app configuration (app.yaml), granting permissions to SQL warehou...
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GitHub
shipping-carrier-analysis-enhanced
Analyzes shipping data with intelligent preprocessing to handle raw, unstructured data from various sources. Automatically detects, maps, and cleans data before creating comprehensive carrier dashboards with vo...
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GitHub
databuddy-api
Use the Databuddy REST API for programmatic access to analytics data. Use when querying analytics data, building custom dashboards, sending events via API, or integrating analytics into backend services.
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GitHub
databricks-dashboards
Create Databricks AI/BI dashboard JSON files in lvdash.json format. Triggers: ダッシュボード, 可視化, visualize, create dashboard, build dashboard, dashboard JSON, lvdash.json, BI dashboard, visualization, char...
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GitHub
databuddy
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
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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。