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kyopark2014

@kyopark2014 source repo

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• 14 skills
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• 10 hours ago last updated

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   Browser Use · kyopark2014

   Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
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   Seoul Subway · kyopark2014

   Seoul Subway assistant for real-time arrivals, route planning, and service alerts (Korean/English)
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   Gog · kyopark2014

   Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.
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   Notion · kyopark2014

   Notion API for creating and managing pages, databases, and blocks.
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   Myslide · kyopark2014 bundle

   Create professional AWS-themed PowerPoint presentations with two theme options: dark (reInvent 2023/2025 with gradient backgrounds) and light (L100/field enablement with white backgrounds and soft gradient accents). Uses AWS brand colors, rich visual elements (SVG diagrams, architecture diagrams, icons), and cross-skill integration (svg-diagram). Supports creating from scratch, editing specific slides conversationally, and embedding SVG visualizations for maximum design impact. Trigger: "myslide", "make slides", "AWS presentation", "create pptx", "slide deck", "AWS slides", "프레젠테이션", "슬라이드 만들어", "발표자료", "L100", "L200", "training deck", "light theme", "밝은 테마", "교육 자료"
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   Pdf2img · kyopark2014 bundle

   Convert a PDF file into per-page PNG images and save them into a dedicated subfolder inside the artifacts directory. Use this skill whenever the user provides a PDF path (e.g. ~/Downloads/6660-SPS.pdf) and asks to extract, convert, or save its pages as images. The output folder is named after the PDF file stem (e.g. artifacts/6660-SPS/).
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   Graphify · kyopark2014

   Knowledge graph tool: '/graphify <path>' builds a graph, '/graphify query' searches existing graph, '/graphify path/explain' traces or explains nodes. Check the subcommand FIRST before responding.
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   Img2text · kyopark2014 bundle

   폴더 내 모든 이미지를 AWS Bedrock(LLM) 멀티모달로 순차 변환해 하나의 통합 Markdown 파일(.md)로 만든다. `mcp_server_text_extraction.py`와 동일한 전처리(크기·픽셀 제한)·추출 파이프라인을 사용한다. 출력은 명시적으로 Markdown이며, 도표·그림 등이 있으면 의미를 상세 서술하도록 프롬프트한다. 상단 header·하단 footer 제외 및 문장 단위 구분을 적용한다. 트리거: img2text, 이미지 폴더에서 Markdown 추출, 멀티 페이지 이미지 LLM 변환, `artifacts/...` 같은 스캔 폴더 전체 LLM 추출, WB_Troubleshooting 같은 매뉴얼 폴더 일괄 변환.
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   Retrieve · kyopark2014 bundle

   Search a knowledge base using Amazon Bedrock RAG (Retrieval-Augmented Generation). Use when users want to find information from uploaded documents, ask questions about stored knowledge, or retrieve relevant content from the knowledge base. Returns matched content with source references and URLs.
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    Kma Weather · kyopark2014 bundle

    기상청(weather.go.kr) 날씨누리 웹사이트를 이용한 한국 날씨 조회 skill. 현재 날씨(기온, 체감온도, 습도, 바람, 강수량, 일출/일몰, 대기질)와 10일간 단기/중기 예보(날씨 상태, 최저/최고 기온, 강수확률)를 제공한다. 사용자가 특정 지역의 날씨, 기온, 강수 여부, 예보 등을 물어볼 때 사용한다. 예: "서울 날씨 알려줘", "부산 오늘 비 와?", "제주도 이번 주 날씨는?", "강남구 현재 기온", "내일 우산 필요해?", "이번 주말 날씨 어때?"
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    Tavily Search · kyopark2014 bundle

    Web search using Tavily AI-powered search API. Returns AI-synthesized answers with citations and structured search results. Use when the user explicitly requests Tavily search, or when high-quality AI-synthesized answers with citations are needed for research, fact-checking, or comprehensive information gathering. Requires TAVILY_API_KEY.
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    Memory Manager · kyopark2014 bundle

    Comprehensive memory management for agents. Use when working with memory files (MEMORY.md, memory/*.md), searching historical context, managing daily logs, or organizing long-term knowledge. Includes memory_search and memory_get tools,file management utilities, and best practices for curating agent memory.
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    Ppt Translator · kyopark2014 bundle

    Amazon Bedrock 기반 PowerPoint(.pptx) 번역. 서식·레이아웃·차트 메타(제목/축 등)를 보존하며 텍스트를 한국어(ko) 등 대상 언어로 변환. CLI(`python -m ppt_translator.cli`)·SQLite 캐시·용어집· 원문 언어 자동 감지. PPT/슬라이드 번역, pptx 한국어, Bedrock 프레젠테이션 번역, batch translate, dry-run 비용 추정.
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    Search Weather · kyopark2014 bundle

    Search real-time weather information by city name using OpenWeatherMap API. Use when the user asks about weather, current temperature, forecasts, or climate conditions for a specific city (e.g., "서울 날씨", "Tokyo weather", "뉴욕 기온"). Always pass city names in English to the script.
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