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Results for “sql”

1.4K skills · sorted by relevance

PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem. Use when writing or tuning PostgreSQL-specific SQL or choosing PostgreSQL features for a design.

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mouadja02/skills10Updated Oct 17, 2026

Next.js + Better Auth + PostgreSQL を Docker で構築し、Cloud Run へデプロイするスキル。ローカル開発環境のセットアップから Docker Compose、Dockerfile 作成、Cloud Run + Cloud SQL + Secret Manager を使った本番デプロイまでをカバーする。「Next.js と Better Auth でアプリを作りたい」「Docker で PostgreSQL を使いたい」「Docker で構築したい」「Docker Compose を使いたい」「アプリを Docker 化したい」「Dockerfile を書きたい」「Cloud Run にデプロイしたい」「Cloud SQL や Secret Manager を使いたい」ときに使う。

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hukusuke1007/agent-skills8Updated Sep 12, 2026

Specialized skill for containerized database testing using Testcontainers. Use when testing real database behavior, using SQL Server/PostgreSQL/MySQL containers, testing EF Core/Dapper. Covers container startup, database migrations, test isolation, container sharing. Keywords: testcontainers, container testing, database testing, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture

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rudironsoni/Synaxis2Updated Mar 17, 2026

openclaw-performance

FreeSummaryAI rating 90

Investigate slow OpenClaw flows by counting operations and measuring performance. Use it to remove unnecessary work, evaluate whether caching is justified, and prepare or review performance changes with clear before-and-after evidence.

  • Investigating slow startup or chat responses
  • Reducing repeated SQL queries and file reads
  • Reviewing performance changes with measurement evidence
openclaw/openclaw392.4KUpdated Oct 19, 2026

flox-environments

FreeSummaryAI rating 90

Set up reproducible development environments with Flox on macOS and Linux. Define tools, package versions, setup steps, and local services in one configuration, then share it with teammates or add project-specific tools for AI agents.

  • Sharing a consistent development setup across a team
  • Combining language tools and system dependencies
  • Running local PostgreSQL and Redis services
affaan-m/ECC283.7KUpdated Oct 16, 2026

review

FreeSummary

Review proposed code changes before merging them. Compare changes with the base branch to find structural issues, including unsafe SQL, misplaced trust in large language model inputs, and unintended effects within conditional code.

  • Reviewing a pull request before merging
  • Checking SQL changes for safety
  • Checking which AI inputs the code trusts
garrytan/gstack136.9KUpdated Oct 19, 2026

Plan and implement a unified AgentDB memory backend for agents. Migrate SQLite and Markdown data, add HNSW indexing for similarity search, and support shared memory and SONA learning patterns while preserving compatibility with existing systems.

  • Consolidating separate agent memory systems
  • Migrating SQLite and Markdown data to AgentDB
  • Finding stored information with similar meaning
ruvnet/RuView98.7KUpdated Oct 19, 2026

Plan and implement a unified AgentDB memory backend for agents. Migrate SQLite and Markdown data, add HNSW indexing for similarity search, and support shared memory and SONA learning patterns while preserving compatibility with existing systems.

  • Consolidating separate agent memory systems
  • Migrating SQLite and Markdown data to AgentDB
  • Finding stored information with similar meaning
ruvnet/ruflo76.9KUpdated Oct 19, 2026

Plan a former employee register covering previous roles, departure dates, rehire eligibility, and future contact dates. Receive a simple workflow recommendation, with empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings available on request.

  • Planning a former employee register
  • Preparing a template for rehire candidates
  • Organizing fields for future contact dates
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Define a practical KPI dashboard, a view of key business measures, by organizing metric definitions, sources, formulas, periods, targets, and owners. Produces empty CSV, SQL, JSON Schema, or Notion import mappings when requested.

  • Choose metrics for a business decision
  • Review an overcrowded KPI dashboard
  • Create a CSV register of metric definitions
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Review every project in a .NET solution for Oracle dependencies, classify its migration status, and create a saved PostgreSQL migration plan with a project inventory and an order that prioritizes shared libraries.

  • Planning an Oracle-to-PostgreSQL migration across multiple projects
  • Identifying Oracle dependencies in a .NET solution
  • Deciding migration order based on project dependencies
github/awesome-copilot40.2KUpdated Oct 17, 2026

Create integration tests for .NET database access before migrating from Oracle to PostgreSQL. The tests record expected Oracle behavior with controlled test data and portable checks, providing a baseline for later migration validation.

  • Recording Oracle behavior before migration
  • Testing repository methods and stored procedure calls
  • Checking empty strings, NULL inputs, and datetime precision
github/awesome-copilot40.2KUpdated Oct 17, 2026

postgresql

FreeSummary

Design PostgreSQL tables around actual queries and data volumes. Choose data types, validation rules, and indexes, then plan large table partitioning, access rules for individual rows, and schema changes with migration and rollback considerations.

  • Designing tables for users, orders, and related data
  • Reviewing data types, constraints, and indexes
  • Planning large tables and frequent update workloads
davila7/claude-code-templates32.7KUpdated Oct 18, 2026

Design PostgreSQL tables by choosing data types, validation rules, and indexes that match actual queries. The skill also guides JSONB usage, partitioning large tables, and planning schema changes with attention to read and write workloads.

  • Designing tables for users and orders
  • Reviewing indexes against actual queries
  • Choosing between relational columns and JSONB
davila7/claude-code-templates32.7KUpdated Oct 18, 2026

validate-data

FreeSummary

Review an analysis before sharing it with stakeholders. Check calculations, data selection, comparison methods, potential bias, charts, and whether conclusions follow from the evidence, then receive a readiness assessment and specific improvements.

  • Reviewing an analysis before an executive presentation
  • Spot-checking SQL results and aggregation logic
  • Checking comparisons across different time periods
anthropics/knowledge-work-plugins30.4KUpdated Oct 19, 2026

Design systems that collect, transform, and store data. Choose between scheduled and continuous processing, generate workflow configurations, validate data quality, and analyze performance using guidance for tools including Python, SQL, Spark, Airflow, dbt, and Kafka.

  • Designing data ingestion and transformation pipelines
  • Choosing scheduled or real-time data processing
  • Checking data freshness, completeness, and uniqueness
alirezarezvani/claude-skills28.4KUpdated Aug 30, 2026

timescaledb

FreeSummary

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

  • Learn how to install and use TimescaleDB
  • Design tables for time-series and event data
  • Implement time-bucket and continuous aggregates
2025Emma/vibe-coding-cn23.1KUpdated Dec 17, 2025

Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.

  • Retrieve execution details for a slow job
  • Check compute capacity contention and queue delays
  • Review reserved capacity and autoscaling limits
google/skills21.4KUpdated Oct 17, 2026

postgres-expert

FreeSummary

Improve PostgreSQL queries and database design by examining execution plans and choosing indexes for actual access patterns. Get guidance on large tables, JSONB data, connection pooling, and maintenance while accounting for write overhead and memory use.

  • Investigating slow queries with execution plans
  • Choosing indexes for search patterns
  • Designing partitions for time-series data
RightNow-AI/openfang18.2KUpdated Jul 2, 2026

Create, edit, or validate Jupyter notebooks for SQL and Python analysis. Organize data sources, assumptions, calculations, and findings into a readable document that others can review and rerun, with execution gaps clearly identified.

  • Preparing an analysis notebook for handoff
  • Organizing experiment logs and data-quality checks
  • Making existing notebooks easier to read and rerun
openai/plugins7.5KUpdated Oct 8, 2026

durable-objects

FreeSummary

Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.

  • Build shared state for chat rooms, games, and bookings
  • Implement remote methods, SQLite storage, WebSockets, and alarms
  • Configure Workers bindings and migrations
openai/plugins7.5KUpdated Oct 8, 2026

Manage Fabric Warehouse, Lakehouse SQL endpoints, and Mirrored Databases: DDL/DML, COPY INTO, read-only T-SQL, Query Insights diagnostics, and Capacity Metrics CU-spike correlation. Synapse migration target SQL belongs to synapse-migration; Fabric SQL database belongs to sqldb-cli. Triggers: query warehouse, create warehouse table, failed or canceled query, CU spike, Capacity Metrics app, custom SQL pool, Lakehouse table health.

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microsoft/skills-for-fabric1.3KUpdated Oct 5, 2026

Expert knowledge for Azure SQL Managed Instance development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring MI networking, backups/restore, geo-replication/HA, Entra/Kerberos auth, or MI Link workloads, and other Azure SQL Managed Instance related development tasks. Not for Azure SQL Database (use azure-sql-database), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).

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MicrosoftDocs/Agent-Skills786Updated Oct 18, 2026