'redis' 검색 결과

Node.js, Express, Next.js의 API와 서버 데이터 처리를 설계하고 검토합니다. 데이터베이스 조회, 캐시, 인증, 오류 처리를 정리합니다.

• API 설계와 업무 로직 및 데이터 조회 분리
• 중복 데이터베이스 조회 줄이기
• 캐시와 비동기 처리 도입

Coordinate changes across multiple GitHub repositories with teams of AI agents. Align package versions, synchronize documentation, standardize project structures, and organize integration tests and pull requests for updates that affect several projects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aligning dependency versions across repositories
• Synchronizing shared documentation
• Standardizing repository structures and CI workflows

Check whether an application is ready for production by finding unfinished code and testing real database and API connections. Review performance under load, authentication, environment settings, and deployment behavior to identify gaps before release.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding unfinished code before release
• Testing real database and API integrations
• Checking performance under concurrent requests

Coordinate decisions across multiple AI agents by synchronizing shared memory, combining knowledge, and weighing input by expertise. The skill also guides workload distribution, conflict handling, and recording decisions with their rationale.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine agent opinions into a shared decision
• Synchronize knowledge across agents
• Redistribute work when an agent is overloaded

Coordinate groups of AI agents across multiple GitHub repositories. Analyze dependencies, organize shared updates and refactoring, run tests, and create linked pull requests so related projects can be changed together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating dependencies across multiple repositories
• Coordinating shared API and library changes
• Applying security patches across projects

Coordinate multiple AI agents in a mesh, a network where peers communicate directly. It guides shared decisions, task assignment based on skills and workload, network monitoring, and recovery when agents fail or connections break.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Coordinating agents through direct peer communication
• Redistributing work from overloaded agents
• Planning recovery from agent failures

Coordinate multiple AI agents by adjusting their communication structure and task assignments as workloads change. The skill describes performance monitoring, switching coordination patterns, forecasting agent capacity, and validating changes with rollback when performance worsens.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a coordination structure for multiple agents
• Redistributing tasks when agent workloads become uneven
• Forecasting how many agents a workload needs

Coordinate changes across multiple GitHub repositories, align package versions, synchronize documentation, and run integration tests. The skill also guides shared repository templates and organizes AI agents to handle related development tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aligning dependency versions across repositories
• Updating projects that use a shared library
• Standardizing documentation and CI workflows

Plan and audit HypoGeniC workflows that use language models to propose patterns from labeled text. Check configurations, dataset splits, cost limits, and saved predictions while keeping candidate hypotheses separate from scientific confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing task settings before a HypoGeniC run
• Checking duplicates across training and test data
• Estimating token and cost limits before model calls

Organize complex work for a team of AI agents by splitting tasks, defining dependencies, and documenting ownership and completion criteria. Provides strategies for tracking progress, spotting blockers, and redistributing work when workloads become uneven.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting complex work among multiple AI agents
• Mapping dependencies and execution order
• Defining file ownership and acceptance criteria

Build a central platform for collecting, analyzing, and sharing cyber threat information. Connect MISP, OpenCTI, TheHive, and Cortex to import feeds, add context to suspicious indicators, manage cases, and track platform activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a central threat intelligence platform
• Automate threat feed ingestion
• Add context to suspicious IP addresses and domains

Assess cybersecurity risks using NIST SP 800-30 Rev 1 by examining threats, weaknesses, likelihood, and business impact. Produce a ranked risk register, a structured record of risks and recommended responses, with a summary for leadership.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing documented risk analysis for compliance frameworks
• Assessing a new system before launch
• Reporting the highest risks to leadership

Design and improve server-side applications using patterns for Node.js, Express, and Next.js API routes. Code examples cover API structure, database access, caching, authentication, error handling, and background jobs to guide implementation choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize API endpoints and application logic
• Reduce unnecessary database queries
• Add authentication and permission checks

Investigate database slowdowns and plan measurable improvements to queries, indexes, caching, and scaling. The skill covers SQL and NoSQL systems, with guidance on monitoring, load testing, migrations, and balancing performance against cost.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze slow SQL queries and execution plans
• Resolve repeated database calls in APIs
• Plan indexes and caching for high traffic

Design LLM applications using patterns for answers grounded in documents, agents that use tools, and prompt testing. Implementation examples also cover monitoring response quality, latency, costs, and failures during operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an assistant that answers from internal documents
• Choosing an architecture for an agent that uses tools
• Comparing and versioning prompts

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

Check a gbrain installation after a restart or when services seem broken. It tests key components, repairs some local problems, checks OpenClaw when installed, and records results, with support for custom test scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check services after a machine or container restart
• Investigate problems with a gbrain installation
• Check OpenClaw services when installed

Manage Linear issues and projects through natural-language requests. Review priorities, create and update tickets, inspect team workloads, and organize release plans using a workflow that reads existing information before making changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritize bugs by their impact on users
• Plan issues and assignments for the next sprint
• Review workloads and redistribute assignments

Verify OpenWork changes by running the real product and following user or client actions. Choose suitable tests, capture screenshots and reports, and demonstrate that the check fails on dev but passes on the changed branch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verifying real product behavior before opening a PR
• Preparing screenshots and test evidence for a reviewer
• Checking a fix against dev and the changed branch

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing n8n on a VPS
• Running workflows in parallel with workers
• Publishing n8n with automatic HTTPS

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Review agent work histories to identify recurring failures, repeated discoveries, and stalled tasks. Improve the prompts, specialist agents, skills, tools, and memory that guide future work, then submit those changes separately for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Addressing recurring command or tool failures
• Recording findings that agents repeatedly rediscover
• Turning repeated procedures into skills or tools

Manage Linear issues and projects through natural-language requests. Review priorities, create and update tickets, inspect team workloads, and organize release plans using a workflow that reads existing information before making changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritize bugs by their impact on users
• Plan issues and assignments for the next sprint
• Review workloads and redistribute assignments

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Choose a single instance or queue workers, configure secrets and Python task runners, and follow procedures for updates, backups, and recovery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy n8n on a personal VPS with HTTPS
• Set up queue workers for parallel workflow execution
• Update, back up, or restore an n8n instance