스킬 찾기

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up kube-bench for the first time
• Selecting benchmark versions and scan targets
• Exporting JSON or JUnit results for CI

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording reasons for technology choices
• Comparing design options and trade-offs
• Explaining past decisions to new team members

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a database for a new service
• Designing tables, relationships, and indexes
• Planning database migrations and rollback procedures

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Provision a PostgreSQL database for development
• Configure database access with Drizzle or Prisma
• Load a SQL file with initial data

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add, rename, or change database columns
• Transform data into a new structure
• Prepare and test rollback procedures

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables for users, orders, and related data
• Reviewing data types, constraints, and indexes
• Planning large tables and frequent update workloads

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables for users and orders
• Reviewing indexes against actual queries
• Choosing between relational columns and JSONB

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize technical skills for a target role
• Rewrite experience to show technical and business impact
• Choose projects to highlight during a career change

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recent information on a topic
• Discovering tutorials and blog posts
• Getting web-based explanations of concepts

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate AI application problems using execution traces
• Evaluate answer quality across a test dataset
• Compare prompts and models through experiments

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI workflow in a visual editor
• Run agents on a schedule or external event
• Add custom agent abilities with Forge

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Switching model providers or using Ollama locally
• Connecting cognee to Postgres or Neo4j
• Storing cognee data in S3

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share datasets with specific users or roles
• Organize data access across teams and organizations
• Configure SDK identities and HTTP authentication

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating costs before importing documents
• Adjusting ingestion speed and request limits
• Reducing query response time

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover writes blocked by a failed migration
• Create migrations for database structure or stored data
• Back up and restore datasets with COGX

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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