1657 个 ・ 集成工具: PostgreSQL · 按人气排序
Set up and run kube-bench to check Kubernetes configuration against CIS security benchmarks. Select the appropriate benchmark and cluster components, then export JSON or JUnit results for automated pipelines and troubleshoot skipped checks or incorrect detection.
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Document major technical decisions with their context, alternatives, reasoning, and consequences. The skill provides Architecture Decision Record templates and maintenance practices so teams can review past choices, track replacements, and explain decisions to new members.
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Guides Postgres query writing, schema design, and configuration reviews using Supabase's prioritized rules. Helps identify improvements in query performance, connection management, and row-level security, which controls access to individual rows.
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Guides development with Neon, a managed Postgres database platform, using official documentation. Covers project setup, connection choices, local development, authentication, data APIs, and resource management through command-line tools and programming libraries.
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Set up and manage AlloyDB for PostgreSQL clusters, instances, and backups. Includes guidance for MCP integration, a way for agents to operate databases, plus references for application connections, Terraform, authentication, and AI search capabilities.
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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.
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Write complex SQL, improve slow queries, and design database schemas for transaction processing and analytics. Uses schema details and query execution plans to guide indexing, validate results, and assess performance with realistic data volumes.
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Create and manage MySQL, PostgreSQL, and SQL Server databases on Google Cloud. Covers instance setup, users, backups, availability, and secure connections, with a PostgreSQL walkthrough and references for application connectors and Terraform configuration.
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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.
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Improve PostgreSQL performance through a staged workflow covering slow query analysis, indexes that speed up data access, query rewrites, configuration tuning, routine maintenance, and monitoring for production databases.
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Design a database layer from business requirements, access patterns, and expected growth. Compare database technologies, define tables and relationships, and plan indexes, caching, scaling, migrations, backups, and recovery with clear reasons and trade-offs.
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Provision a PostgreSQL database with Neon Instagres and save connection settings for application use and migrations. Includes setup examples for Drizzle and Prisma, initial data loading, and claiming a temporary database to keep using it.
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Plan and implement database structure changes and data transfers using Sequelize, TypeORM, or Prisma. Covers staged changes to keep services running, rollback procedures to undo changes, backups, and migration verification.
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Turn a codebase into architecture documentation with Mermaid diagrams. Using the C4 model, a way to describe systems at different levels of detail, the skill explains external relationships, applications, internal components, deployment, and request flows.
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Improve resumes for software engineering, technical product management, data, and DevOps roles. Organize technical skills, connect achievements to business results, and highlight projects in a format suited to applicant tracking systems, software used to process job applications, and recruiters.
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Use Perplexity to find web resources, recent information, or clear explanations drawn from the web. The skill chooses between search results and conversational answers, while directing specialized documentation and workspace questions to other tools.
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Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.
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Build and operate AutoGPT agents that carry out multi-step workflows. Covers a visual editor for connecting processing blocks, scheduled and webhook triggers, deployment, execution monitoring, and benchmarks for evaluating agent performance.
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Manage cognee database migrations, from checking migration status and recovering blocked writes to creating schema or data updates. It also guides dataset backups, restores, and transfers using cognee’s portable COGX archive format.
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Tune cognee ingestion speed, query response time, and LLM costs by adjusting concurrency, text chunk sizes, request limits, and model choices. Estimate ingestion costs before processing and assess options for background work and deployment scaling.
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Connect cognee to model providers, databases, storage services, and development tools. Guides configuration of language models and embeddings, the numerical representations used for search, including the separate settings each requires.
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Run cognee in Docker, starting with a prebuilt image for local document ingestion and questions. It also covers Docker Compose profiles for adding the UI, MCP server, Postgres, and Neo4j, plus persistent data storage.
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Set up users, organizations, roles, and dataset sharing in cognee. The skill explains SDK and HTTP authentication, helps investigate permission errors or missing datasets, and clarifies how access settings separate each user’s stored data.
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Check whether gbrain uses PGLite or Postgres, set up a Postgres-backed installation, or migrate existing PGLite data with its history. The workflow presents a migration plan for approval, verifies transferred tables, and supports interrupted migration recovery.
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