'building' 검색 결과

Build a linked fiction encyclopedia covering characters, settings, factions, themes, and lore. The skill creates starter pages for newly mentioned entities and flags conflicts between established details and the narrative for the author to consider.

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• Organizing character and setting reference pages
• Capturing new names from chapters or session logs
• Checking for contradictions in a fictional world

Audit backlinks using Google Search Console reports and supplied exports. Review linking domains, link text, potentially spammy patterns, and links to key pages to identify internal linking opportunities and prioritize link building.

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• Review linking domains and link text
• Check for potentially spammy backlinks
• Find internal linking opportunities for revenue pages

Plan and execute off-page SEO including link building, digital PR, brand mentions, citation building, and external authority signals. Use this skill whenever the user wants to build backlinks, plan a digital PR campaign, list local citations, run guest post outreach, develop linkable assets, recover lost links, or audit a backlink profile for risk. Triggers on link building, backlinks, digital PR, brand mentions, citation building, guest post, outreach, linkable asset, broken link building, HARO, podcast outreach, off-page SEO, anchor text, link velocity, toxic backlinks, disavow. Also triggers when the user is trying to grow domain authority or earn coverage.

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Full-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing config/auth, setting up API clients, implementing auth flows, handling file uploads, adding real-time features (SSE/WebSocket), hardening for production. DO NOT TRIGGER when: pure frontend UI work, pure CSS/styling, database schema only.

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The ultimate brand asset: a consistent, explorable universe generated by AI. This skill covers creating coherent brand worlds, consistent characters, architectural spaces, and visual universes that serve as the foundation for all marketing content. Traditional brand building creates guidelines. AI world building creates explorable realities. Characters with consistent personalities across thousands of images. Environments that feel like real places. Visual languages so coherent that any new asset feels like it belongs. This is where AI generation meets universe design. The practitioners of this skill don't just create images—they create the DNA that generates infinite consistent images. They build the source code for visual worlds. Use when "world building, brand world, universe, consistent character, character design, visual language, brand universe, style bible, world bible, coherent assets, character sheet, environment design, world-building, universe, character-design, consistency, visual-language, brand-world, style-guide" mentioned.

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Plan how to earn backlinks and third-party mentions for specific pages. Compare competing pages, identify suitable placement opportunities, draft outreach messages, and track search rankings alongside mentions on pages cited by AI assistants.

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• Compare backlinks to competing pages
• Request links for existing unlinked brand mentions
• Find inclusion opportunities in AI-cited recommendation lists

Create and edit rooms or buildings in Pascal through MCP, a connection that lets agents use its tools. Inspect existing projects, validate changes, and hand over saved, editable 3D scenes with verified editor links.

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• Creating a 3D model of a room or building
• Editing walls, windows, stairs, and surface finishes
• Inspecting an existing Pascal project

Build CARLA for Unreal Engine 5.8 using CMake, the tool that configures its build process. The skill guides engine setup, optional ROS 2 support, Python API rebuilding, editor builds, and checks that the expected files were actually produced.

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• Building CARLA for Unreal Engine 5.8
• Building and verifying native ROS 2 support
• Rebuilding the Python API after client changes

List static objects built into a CARLA map and hide or restore them by category or asset name. Adjust buildings, vegetation, fences, and other scenery, preview affected objects, and change both their visibility and collision behavior.

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• Hide buildings to inspect a scene
• Remove trees and bushes for dataset capture
• Preview which fences a change would affect

Create and simulate UAV scenarios with terrain, buildings, platforms, and sensors using uavScenario. Use when building a UAV simulation, UAV simulator, or UAV scenario in MATLAB. Covers addMesh for terrain/building import, uavPlatform with updateMesh, uavSensor adaptor pattern for GPS/IMU, and the setup/advance simulation loop. Triggers on: uavScenario, UAV simulation, UAV simulator, multirotor simulation, quadrotor scenario, terrain import, building import, GPS sensor simulation.

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When the user wants to build backlinks, acquire links, or improve off-page SEO. Also use when the user mentions "link building," "backlinks," "off-page SEO," "link acquisition," "outreach," "guest posting," "broken link building," "link outreach," "acquire backlinks," "how to build backlinks," or "link building strategy." For profile audit, use backlink-analysis.

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Read and apply a project-specific BUILDING_SPEC.md or DIMENSIONS.md file before generating any architectural elements. Use when: generating floor plans, 3D buildings, or any spatial design where the project has defined custom dimensions, room requirements, or design standards.

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Parse architectural drawings, floor plans, and building code compliance documents using Vision AI. Extracts building type, occupancy, floor areas, room layouts, dimensions, and code parameters. Use when: reading PDF floor plans, analyzing architectural drawings, extracting building data from images or scanned documents.

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React Native와 Expo 앱의 화면 이동, 상태 관리, 데이터 가져오기를 설계합니다. 긴 목록 표시, 폼, 기기 기능 사용과 인증 토큰 저장 방식도 다룹니다.

• Expo 화면과 화면 이동을 만들 때
• 가져온 데이터와 화면 상태를 정리할 때
• 긴 목록 표시를 개선할 때

Storybook에서 프로젝트의 기존 UI 구성 요소와 설정 항목, 사용 예시를 확인합니다. 사용법 질문에 답하고 중복 구현 전에 재사용 가능 여부를 판단합니다.

• 기존 UI 구성 요소를 찾습니다
• 구성 요소의 설정 항목과 사용 예시를 확인합니다
• 구성 요소 사용법을 질문합니다

Build AI applications that answer questions using retrieved documents. Covers vector databases, text embeddings that represent meaning as numbers, search strategies, and result reranking to connect language models with external knowledge.

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• Building Q&A systems for internal documents
• Adding domain knowledge to chatbots
• Implementing natural language document search

Build a new classroom course through an agreed page plan, teacher and learner personas, ordered page generation, and final checks. It defines when pages and narration audio are complete and how to handle generation failures.

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• Building a new classroom course from scratch
• Setting teacher and learner personas before generating pages
• Checking saved pages and narration audio for completeness

Plan complex enterprise sales by mapping stakeholders, checking qualification with MEDDICC, a framework for assessing deals, and building shared action plans. Review buyer alignment, purchasing steps, and customer participation to identify stalled opportunities and next actions.

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• Planning a long enterprise sales cycle
• Mapping decision makers and stakeholder motivations
• Building a shared action plan with customer owners and deadlines

Design and build name generators, personality quizzes, avatars, and similar interactive tools. Plan simple inputs, result logic, and visually clear result cards that people can share through social buttons or screenshots.

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• Building name and text generators
• Designing personality quizzes and scoring rules
• Creating result cards for sharing on social media

Build AI agents with LangGraph by connecting processing steps into a graph. Define shared state, conditional paths, tool calls, saved checkpoints, and human review points to create workflows that retain information as they run.

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• Building an agent that calls tools in a loop
• Sharing accumulated findings between multiple agents
• Routing requests to different processing paths

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.

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

Build AI applications with LangChain, including chatbots with conversation history and systems that search documents before answering. The skill provides examples for connecting models, calling tools, retrieving information, and tracing application runs.

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• Building a chatbot that uses conversation history
• Creating a question-answering system for documents
• Developing an agent that calls external tools

Build LlamaIndex applications that retrieve relevant material before generating answers, a method called RAG. Connect documents, websites, and databases to support document questions, conversational search, structured summaries, and checks of answer relevance and source consistency.

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• Building question answering over internal documents
• Creating a chatbot that remembers the conversation
• Searching information across files, websites, and databases

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

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• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers