'architecture' 검색 결과

Use LitGPT to explore language model implementations and train models on custom data. Covers pretrained model loading, LoRA fine-tuning that updates a small set of parameters, pretraining, and preparing trained models for deployment.

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• Studying language model architecture through readable code
• Fine-tuning a model on custom instruction data
• Configuring LoRA training for a single GPU

Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build streaming text generation
• Process long documents in chunks
• Compare memory needs with Transformers

Plan a system or service from requirements through components, APIs, data storage, and reliability. Produce a structured design document with diagrams, stated assumptions, trade-offs between choices, and decisions to revisit as usage grows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning the architecture of a new service
• Defining APIs, data models, and service boundaries
• Reviewing scaling and reliability plans

Compare technology options, review a system design, or plan a new component from requirements and constraints. The skill organizes the reasoning into an architecture decision record, a document covering alternatives, trade-offs, consequences, and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare technologies before choosing one
• Document the reasoning behind a design decision
• Review a proposed system design

Design and build backend services with API scaffolding, database migrations, authentication reviews, and load testing. Generate route handlers from OpenAPI specifications, identify PostgreSQL optimization opportunities, and compare architecture choices against traffic, data sensitivity, and reliability requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating API route handlers from OpenAPI
• Investigating slow PostgreSQL queries
• Reviewing authentication and input validation

Review architecture and engineering growth plans through six questions covering capacity limits, technical debt, staffing, build-versus-buy costs, reliability, and security. Produce a structured verdict and three next steps before committing to major technical decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a major architecture change
• Checking readiness for tenfold traffic growth
• Comparing in-house development with a vendor

Trace changes in a game design document to related architecture decision records, which explain technical choices. Compare their assumptions with the revised design, report which decisions need review, and guide updates to decisions and requirement links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking architecture impact after changing game design
• Finding technical decisions based on outdated requirements
• Choosing whether to keep, revise, or replace a decision

Review Pascal pull requests or branches against documented architecture rules. Check package responsibilities, node extension patterns, state management, and rendering subscriptions to identify misplaced code, compatibility breaks, and changes that could cause excessive redraws.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a Pascal pull request for architecture violations
• Auditing package responsibilities in a branch
• Checking new node definitions and scene compatibility

Design Google Cloud systems where multiple AI agents process live audio, video, or text and respond in real time. Guides requirements discovery, architecture diagrams, infrastructure code, deployment instructions, and validation for technical guidance or safety monitoring workloads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design real-time technical guidance using live audio and video
• Plan hazard detection and visual inspection from video streams
• Create cloud architecture diagrams and deployment instructions

Design a Google Cloud system that combines multiple services, starting with a discussion of business and technical requirements. The skill produces service recommendations, architecture diagrams, deployment guidance, and validation plans, with user approval at each stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gather requirements for a new cloud workload
• Compare and select services for a cloud migration
• Create a diagram and explain system data flows

Design a Google Cloud system for data analysis or machine learning with AI agents. Turn requirements into product choices, an architecture diagram, infrastructure configuration, deployment instructions, and validation steps, with user reviews between phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a data analysis system with multiple AI agents
• Choose Google Cloud products for analytical requirements
• Prepare an architecture diagram and deployment guide

Use LitGPT to explore language model implementations and train models on custom data. Covers pretrained model loading, LoRA fine-tuning that updates a small set of parameters, pretraining, and preparing trained models for deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Studying language model architecture through readable code
• Fine-tuning a model on custom instruction data
• Configuring LoRA training for a single GPU

Compare technology options, review a system design, or plan a new component from requirements and constraints. The skill organizes the reasoning into an architecture decision record, a document covering alternatives, trade-offs, consequences, and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare technologies before choosing one
• Document the reasoning behind a design decision
• Review a proposed system design

Plan a system or service from requirements through components, APIs, data storage, and reliability. Produce a structured design document with diagrams, stated assumptions, trade-offs between choices, and decisions to revisit as usage grows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning the architecture of a new service
• Defining APIs, data models, and service boundaries
• Reviewing scaling and reliability plans

Create editable draw.io diagrams from descriptions, code, infrastructure settings, or database schemas. Update existing diagrams while preserving manual layout, check their structure and architecture rules, and export them to image or document formats for sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a written description into an editable diagram
• Generate architecture diagrams from code or infrastructure settings
• Update a diagram while preserving manual layout

Save established decisions, project facts, failed approaches, and system architecture to Atlas shared memory. The skill checks existing entries to avoid duplicates and creates self-contained records that other agents and future sessions can use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Carry decisions and their reasons into future sessions
• Share project facts and conventions with other agents
• Record failed approaches to avoid repeating them

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Create dark-themed diagrams of systems, cloud infrastructure, security, or networks in a single HTML file. Color-coded components and connection arrows explain the structure, with built-in controls for copying images and exporting PNG or PDF files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining system components and their connections
• Documenting cloud regions and service layouts
• Illustrating security boundaries and authentication flows

Plan AWS architectures, compare services, and review security using documentation verified through AWS MCP tools, which connect agents to external information. Get implementation examples and trade-offs tailored to the team's existing tools, experience, and constraints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare AWS services for a new application
• Review security in an existing AWS architecture
• Choose tools for defining infrastructure in code

Design and implement a NestJS backend organized into business modules within one deployable application. The skill defines module boundaries, separates data ownership, builds layered code and event communication, and validates isolation through checks and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new modular NestJS backend
• Implementing business modules with layered responsibilities
• Connecting modules through events

Turn an agreed product direction into a technical specification before coding. Create architecture and flow diagrams, define failure handling and input validation, and map tests to the behavior engineers need to implement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define architecture before implementing a complex feature
• Map background jobs and external API interactions
• Check failure recovery paths and test coverage

Review architecture changes in Apache Pinot, focusing on module dependencies, extension interfaces, abstractions, and class placement. Use it to examine changes that cross module boundaries or introduce new plugins and interfaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing classes moved between modules
• Checking new extension interfaces or abstract classes
• Reviewing new plugin directories

Access TeamAI workflows for sharing skills, rules, documents, and environment settings across AI coding tools. This entry skill loads version-matched guidance for team setup, synchronization, codebase knowledge, and sharing lessons from a session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start sharing AI settings across a team
• Sync team skills across AI coding tools
• Build or search knowledge about codebase architecture

Turn source code imports and folder structure into diagrams for understanding a project, reviewing dependencies, or preparing documentation. Supports Python, JavaScript, TypeScript, Go, and Java, with Mermaid text output and optional SVG images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand the structure of an unfamiliar project
• Review module dependencies during code review
• Create architecture diagrams for technical documentation