“postgresql”的搜索结果

Research a question by splitting it into two to five topics and assigning parallel documentation agents. Get a combined summary, detailed findings for each topic, and source URLs from web searches and documentation lookups.

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• Researching implementation best practices
• Comparing libraries for a project
• Looking up current framework conventions

Build a tracking system for vulnerabilities that cannot be fixed on time. Define exception requests, approval workflows, alternative protective measures, expiration checks, and audit records so teams can track accepted risks and support compliance reviews.

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• Standardizing exception requests for delayed vulnerability fixes
• Recording alternative protections and risk acceptance
• Checking expired exceptions and producing monthly reports

Build a central vulnerability dashboard with DefectDojo to combine scanner findings, remove duplicates, and track remediation. Includes Docker deployment, automated scan imports from CI/CD pipelines, Jira ticket integration, and API queries for reporting metrics.

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• Combining findings from multiple security scanners
• Importing scan results automatically from CI/CD pipelines
• Connecting vulnerability findings to Jira tickets

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 a Neon project and database connection
• Choose a connection method for serverless or edge functions
• Integrate Neon authentication and data APIs

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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• Review slow SQL queries and index usage
• Check table and schema designs
• Review connection pooling and scaling settings

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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• Checking which database engine gbrain uses
• Setting up Postgres for a new gbrain installation
• Moving PGLite data and history to Postgres

Diagnose and repair GBrain’s Postgres access with a fixed recovery command. Apply routine fixes, request approval for configuration rewrites, and verify connectivity afterward. Credential problems and other manual cases are returned with instructions for the operator.

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• Diagnose GBrain database connection failures
• Apply routine fixes such as reconnecting or pending migrations
• Review and approve connection configuration rewrites

Install or update Iron Proxy and its official Iron Control console for NanoClaw. Configure stored credentials, access grants, allowed destinations, and human approval checks for outbound requests through a local Docker installation.

中文简介正在准备中。当前显示英语简介。

• Install Iron Proxy and its management console
• Configure credentials and access grants
• Set allowed destinations and human approvals

Create or improve a company-specific data analysis skill by gathering analysts’ knowledge and examining database structures. Document business terms, metric formulas, table relationships, and common query patterns in reusable reference files.

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• Create a data analysis skill for a company
• Document metric formulas and standard exclusions
• Add knowledge about a new business domain

Design relational database tables from requirements and generate relationship diagrams, migration code, type definitions, and test data. Also covers indexes, audit history, and row-level access rules for applications serving multiple organizations.

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• Designing tables for a new feature
• Reviewing table relationships and indexes
• Separating data by organization

Guide cmux backend changes with consistent rules for Effect, a TypeScript library for structured error handling. Covers Cloud VM state, database migrations, provider integrations, and authentication and payment checks so changes follow the intended architecture.

中文简介正在准备中。当前显示英语简介。

• Implementing API error handling
• Updating Cloud VM lifecycle logic
• Preparing database migrations

Build Python applications that collect live cryptocurrency prices, trades, and order books with Cryptofeed. Covers consistent data formats across exchanges, price comparisons, and writing incoming data to storage systems for monitoring and analysis.

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• Monitoring prices across cryptocurrency exchanges
• Analyzing order book depth
• Analyzing executed trade flows

Design and implement Google Cloud serverless web apps with separate presentation, application, and data layers. Produces architecture diagrams, Terraform infrastructure code, deployment instructions, and validation scripts for private networking and controlled access between layers.

中文简介正在准备中。当前显示英语简介。

• Design a serverless web app with separate application layers
• Generate Terraform for private Cloud Run and Cloud SQL connections
• Plan regional data residency requirements

Plan and manage Cloud Spanner databases on Google Cloud, design tables and primary keys, write SQL and client code, and investigate slow queries using database statistics to identify resource-intensive operations.

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• Create Cloud Spanner instances and databases
• Design primary keys and related tables
• Write SQL queries and client library code

Guide database structure changes in a project using Drizzle and node-pg-migrate. Covers generating and reviewing migration files, checking compatibility during deployment, handling indexes separately, and validating changes before applying them to shared databases.

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• Adding or changing database tables and columns
• Creating or removing indexes on existing tables
• Reviewing compatibility during staged schema changes

Create weekly reports from Postgres metrics, comparing current figures with recent weeks. Add plain-language explanations for notable changes, flag missing data, and post one report to Slack while keeping database access read-only.

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• Preparing a weekly metrics report for Slack
• Reviewing weekly changes and recent trends
• Explaining notable changes and flagging data gaps

Develop and debug LangBot's backend and web frontend. The skill guides environment setup, API additions, authentication, database migrations, and testing, including updates to matching MCP tools so agents can use changed API features.

中文简介正在准备中。当前显示英语简介。

• Set up the LangBot backend and frontend for development
• Add an API endpoint and its matching MCP tool
• Update the database schema with Alembic

Guide SQLite database design and performance tuning for applications. Covers concurrent reads and writes, indexes that speed up queries, full-text search, JSON processing, analytical queries, and versioned changes to database structure.

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• Investigating slow SQLite queries
• Reducing contention between database reads and writes
• Designing full-text search and JSON queries

Manage machine learning experiments with MLflow by recording settings, metrics, files, and trained models. Covers experiment comparison, model version management, reproducible project configurations, and deployment workflows across local and cloud environments.

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• Recording experiment settings and evaluation results
• Comparing model performance across experiments
• Managing model versions for production use

Build and run Omnigent’s server and Postgres together with Docker Compose on a laptop or existing Docker host. Use the supplied configuration and troubleshooting guidance to rebuild images, investigate startup problems, or adapt deployment to another platform.

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• Running Omnigent locally with Postgres
• Starting the stack on an existing VPS or EC2 host
• Investigating startup and web interface problems

Choose, create, and review software diagrams that explain structure, interactions, workflows, states, or data relationships. Select suitable notation and rendering tools, then plan static exports or interactive views with readable layouts, accessible controls, and validation.

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• Explain login interactions with a sequence diagram
• Turn a database schema into an entity relationship diagram
• Document application architecture with C4

Write, review, and optimize Postgres queries, database structures, and configuration using guidance maintained by Supabase. Prioritized rules and SQL examples help assess query speed, connections, indexes, and row-level security, which controls access to individual rows.

中文简介正在准备中。当前显示英语简介。

• Review slow SQL queries
• Assess table structures and indexes
• Review connection pooling and scaling settings

Create ADRs, short records of architectural decisions, that explain what was chosen, why, and with what trade-offs. Choose among three formats and organize dates, status, numbering, and related links for future team members.

中文简介正在准备中。当前显示英语简介。

• Recording why a database was chosen
• Preserving the rationale for a framework choice
• Documenting an authentication approach

Draft structured RFCs, proposals for gathering feedback before a major decision. Organize background, weighted criteria, alternatives, costs, and a recommendation so stakeholders can compare choices and understand the reasons for the proposed direction.

中文简介正在准备中。当前显示英语简介。

• Proposing a database migration
• Reviewing changes to team workflows
• Comparing tools or vendors