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Design and review Java database code using MyBatis and MyBatis-Spring. Covers mapping query results to objects, safe SQL parameters, transactions, pagination, batch writes, and investigating slow or unnecessarily repeated queries.

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• Designing mapper interfaces and XML mappings
• Reviewing dynamic SQL and parameter safety
• Checking transactions across multiple updates

Build Bengali search and AI features with guidance on consistent character encoding, word splitting, digit conversion, and safe text display. Includes patterns for cleaning training data, storing text, and handling Bengali alongside English.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing Bengali search and text input
• Cleaning Bengali text for model training
• Handling Bengali and English in chatbots

Plan database structure changes and existing data updates for production systems. Provides migration patterns for adding columns and indexes, switching applications in stages, and documenting recovery steps while accounting for downtime and database locks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding columns or indexes to production tables
• Updating large datasets in batches
• Planning a staged column replacement without downtime

Verify Spring Boot changes through builds, static analysis that checks code without running it, tests, coverage checks, and security scans. Review the diff and produce a pass/fail report showing readiness and issues to fix.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a Spring Boot service before opening a pull request
• Verifying changes after refactoring or dependency upgrades
• Checking test coverage against the target

Deploy and manage services across an Uncloud cluster using the uc command line. Covers public ports, Caddy routing for incoming traffic, service scaling, log inspection, and management of machines and storage volumes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying services from Compose files
• Publishing a web application over HTTPS
• Routing traffic to a NAS or router interface

Review authentication, payments, and APIs for security risks using implementation examples and a predeployment checklist. Covers input validation, access permissions, secret storage, request limits, and checks for sensitive information in logs and errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing login and access permissions
• Checking API input and file uploads
• Reviewing secrets and sensitive logs

Design and review Prisma database code for TypeScript backends. Use examples for schemas, queries, transactions, pagination, migrations, and connection management to identify common pitfalls in bulk operations and serverless deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing database models and relationships with Prisma
• Reviewing queries and pagination
• Investigating transaction and bulk update problems

Build and review Python tests with pytest. Use reusable setup, simulated external services, and multiple input cases to check behavior, then measure coverage—the proportion of code exercised by tests—and follow a test-first development cycle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing tests before implementing a Python feature
• Sharing test setup through reusable fixtures
• Testing external API behavior with mocks

Guide PostgreSQL database design and troubleshooting with examples for faster queries, indexes that speed up searches, suitable data types, and row-level access rules. Also covers connection settings and SQL for investigating performance problems.

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• Investigating slow PostgreSQL queries
• Choosing indexes and column data types
• Designing row-level access rules

Turn a draft request into a ready-to-paste prompt by clarifying intent, missing context, and completion criteria. Recommend suitable ECC commands, skills, and agents, then provide full and compact versions with explanations for the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Make a vague development request more specific
• Add completion criteria and checks to a prompt
• Choose ECC commands and skills for a task

Review MySQL and MariaDB database designs and production problems, including slow queries, locking, connection pools, and replica delays. Get concrete SQL or code changes and a validation plan that accounts for differences between engines and versions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables and indexes
• Investigating slow queries and deadlocks
• Reviewing migrations for large production tables

Plan and review machine learning systems for production use, covering data requirements, repeatable training, quality checks, deployment, monitoring, and rollback. Produce concrete plans and review findings for moving model experiments into operational systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning notebook experiments into reusable training pipelines
• Defining quality checks before releasing a model
• Investigating data leakage and training–serving mismatches

Build Kotlin database access with JetBrains Exposed, a library that maps database records to code. Apply examples for queries, transactions, reusable connections, schema migrations, and repository interfaces that separate database operations from business logic.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing database queries and updates
• Configuring reusable database connections
• Managing database schema migrations

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing a consistent development setup across a team
• Combining language tools and system dependencies
• Running local PostgreSQL and Redis services

Plan database schema and data changes for production systems. Use staged column replacements, concurrent index creation, and batched data updates to limit disruption, with migration workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add columns or indexes to large tables
• Plan a staged column rename without downtime
• Split existing-data updates into batches

Write and review C# and .NET tests using xUnit examples. Covers unit tests, mocks that replace dependencies, API and database integration tests, reusable test data, and project organization to check behavior and outcomes.

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• Adding tests for C# services
• Testing ASP.NET Core APIs
• Checking database persistence

Check a Django application before a pull request or deployment. Review its environment, code quality, database changes, tests, vulnerabilities, and configuration, then produce a phased pass/fail report identifying issues that need fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a Django pull request
• Reviewing database migrations
• Checking test coverage targets

Create and review Docker development environments, including service networking, persistent storage, and security settings. Also guides isolated testing of command-line installers on Linux, while identifying checks that require native macOS or Windows environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a local app, database, and Redis stack
• Review container networking and persistent storage
• Harden Dockerfile and Compose security settings

Turn a large engineering objective into a written plan with steps sized for individual pull requests, or proposed code changes. Each step includes context, dependencies, checks, and completion criteria so another agent can continue the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting a large feature into multiple pull requests
• Planning a migration across several sessions
• Identifying steps agents can work on in parallel

Record software design decisions as numbered Markdown files, with context, rejected alternatives, benefits, drawbacks, and risks. Maintain an index and consult existing ADRs—architecture decision records—to explain why a framework, database, or design approach was chosen.

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• Record reasons for framework or database choices
• Document design alternatives and trade-offs
• Find explanations for past technical decisions

Design a persistent multi-agent workflow in Claude Code, with specialist roles, reusable commands, file-based memory, and scheduled tasks. Keep project context and decisions across sessions using JSON and Markdown files without an external database.

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• Coordinate specialist agents for development and writing
• Preserve project context across sessions
• Schedule recurring morning briefings

Helps design ClickHouse tables, write analytical queries, and improve slow queries. Covers loading data in batches, preparing reusable summaries, and monitoring performance for large datasets, real-time dashboards, and time-series analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables for large-scale analytics
• Improving slow aggregation queries
• Loading large datasets in batches

Set up services such as databases and SMS for a project through Stripe Projects. Sync generated credentials into `.env`, connect supported provider accounts, and manage credential rotation, plan changes, and service removal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a Postgres database for a project
• Add an SMS service to an application
• Sync service credentials and rotate keys

Manage Docker containers, images, storage volumes, and networks with standard commands. Start multi-service applications with Docker Compose, investigate failures through logs, check disk usage, and review Dockerfiles for improvements.

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• Starting and stopping containers
• Running multiple services with Docker Compose
• Investigating container crashes through logs