'databases' 검색 결과

Evaluates task complexity and selects a small set of existing skills for work spanning multiple areas. Uses agent-memory-mcp to record and retrieve successful combinations, while keeping simple tasks within the agent’s ordinary capabilities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Selecting skills for a complex task
• Coordinating work across UI, databases, and deployment
• Reusing successful skill combinations

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose metrics for a business decision
• Review an overcrowded KPI dashboard
• Create a CSV register of metric definitions

Helps plan and implement database structure changes and data transformations using Sequelize, TypeORM, or Prisma. Includes staged changes intended to avoid downtime, plus transaction and backup examples for rolling back failed migrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Renaming database columns in stages
• Splitting stored addresses into separate fields
• Preparing rollback steps for failed migrations

Design query-ready data from streams of recorded events. The skill guides read models, databases shaped for queries, with practices for replaying events, resuming after failures, and tracking delays in dashboards or search indexes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build read models for systems that separate reads and writes
• Create dashboard data from recorded events
• Build search indexes from event streams

Design or refactor backend services with clear layers and dependency rules. Using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design, it separates business logic from databases and frameworks and defines interfaces that support testing without external services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing the structure of a new backend service
• Separating business logic from database and HTTP code
• Resolving circular dependencies between layers

Set up a Quarkus application or REST API using Maven or Gradle. Check the Java environment, choose extensions for features such as databases or authentication, generate the project, and run it in development mode with live reload.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a new Quarkus REST API
• Create a Maven or Gradle project
• Choose database and authentication extensions

Build systems that use Pinecone to find documents for AI answers or retain agent memories across sessions. Guides index setup, data loading, meaning-based and keyword search, memory separation, and end-to-end checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant that answers from documents
• Keep agent facts and decisions across sessions
• Combine meaning-based search with exact terminology

Turn defects found during Oracle-to-PostgreSQL migration into structured bug reports. Document expected and actual behavior, reproduction steps, severity, root causes, proposed changes, and validation on both databases so teams can act on the findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting behavioral differences found during migration
• Organizing reproduction steps and test data
• Recording fixes, affected files, and validation steps

Retrieve current Azure retail prices and estimate monthly or annual costs by service, region, and configuration. Compare payment options and calculate Copilot Studio credit usage and estimated costs from expected agent activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimate monthly and annual Azure costs
• Compare prices across regions and configurations
• Compare reservations, savings plans, and spot pricing

Map an organization's internet-facing assets using public information, including domains, indexed services, employee details, and leaked data. Compile findings into a reconnaissance report to support authorized security assessments and identify potential exposure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gathering public information before a penetration test
• Finding unknown internet-facing assets
• Checking public sources for leaked credentials and documents

Analyze Chrome, Edge, and other Chromium browser profiles with Hindsight to reconstruct web activity. Combine browsing history, downloads, cookies, and other stored records into a chronological timeline, with XLSX, JSON, or SQLite output for investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing browsing activity during incident response
• Checking download times and source URLs
• Comparing cookies and history in insider threat investigations

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a PostgreSQL database on Google Cloud
• Manage database users and passwords
• Connect through Cloud SQL Auth Proxy

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow PostgreSQL queries
• Reviewing database indexes
• Tuning database configuration

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an AlloyDB cluster and primary instance
• Manage AlloyDB backups
• Automate database operations through MCP

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate and improve slow analytical queries
• Design a database schema for a SaaS application
• Write customer retention and cohort analysis queries

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining a system overview to stakeholders
• Documenting relationships between apps and databases
• Mapping internal components of a feature

Design RAG systems that retrieve relevant documents to support LLM answers. The skill guides document splitting, meaning-based and keyword search, result reranking, and separate retrieval evaluation to improve the context passed to the model.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing document retrieval for LLM answers
• Reviewing document splitting strategies
• Combining keyword and meaning-based search

Build and operate LLM applications with guidance on RAG, which uses retrieved documents to inform answers. Covers document indexing, vector database selection, prompt improvement, response evaluation, caching, and estimates of model usage costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an assistant that answers from documents
• Choosing a vector database for document search
• Comparing answer quality after prompt changes

Connect a company SQL database, support ticket exports, and documents in cognee, linking shared people, teams, and projects so questions about ownership, decisions, and ongoing work can draw on several sources together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding owners across company databases, tickets, and documents
• Tracing decisions across multiple company sources
• Checking who is handling a support issue

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Try cognee locally using a prebuilt Docker image
• Test document ingestion and questions through the API
• Start the UI, MCP server, and databases with Docker Compose

Import text, files, URLs, repositories, and database content into cognee memory. This skill explains input handling, storage organization, extraction options, and cost estimates, while helping diagnose unsupported arguments and document update errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing documents, URLs, or database content
• Organizing stored information by project or topic
• Estimating tokens and cost before importing

Connect cognee to additional databases and data sources through community packages. The skill covers installing and registering adapters, importing data through connectors, configuring monitoring, and developing extension packages with examples and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect cognee to Qdrant or another database
• Import data from Slack or Gmail
• Configure monitoring with Keywords AI

Checks factual claims in articles and reports against current sources or independently queried original data. Applies corrections, assigns one of six confidence levels to each claim, and produces a sourced report with an overall pass or fail assessment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking facts before publishing articles
• Verifying numbers, dates, and attributed quotes
• Rechecking reports generated from databases

Investigate NanoClaw agent failures by tracing messages through logs and session databases. Check container startup, credential access, mounted folders, and service instances to locate where processing or delivery stops and choose a repair.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing why an agent stopped replying
• Investigating container startup and authentication failures
• Checking mounted folders and stalled sessions