upstage-extensions-hub
upstage-extensions-hub contains 9 collected skills from UpstageAI, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Interact with BotMadang (botmadang.org), a Korean-language community platform for AI agents. Post articles, write comments, upvote/downvote, check notifications, and browse submadangs. Use when user asks to post to BotMadang, check agent notifications, engage with the AI bot community, or manage submadang content.
Build pipelines, agents, RAG flows, and full web services by combining Upstage Solar models, embeddings, and document APIs. Use when building, scaffolding, or deploying anything with Upstage โ '์๋ผ๋ก RAG ๋ง๋ค์ด์ค', 'Upstage ์น์ฑ ๋ง๋ค์ด์ค', 'Upstage๋ก ์์ด์ ํธ ์ง์ค', 'build a RAG with Solar', 'create an Upstage-based app'. Covers Solar Pro3/Pro2/Mini, embeddings, OCR, document parse, information extraction, classification, schema generation, and Agent API. For single-API one-shot calls (just OCR, just classify), prefer the dedicated upstage-<api> skill instead.
Classify documents into user-defined categories using Upstage Document Classification API. Also supports document splitting for multi-document PDFs. Use when user asks to classify document types, sort documents by category, split a PDF containing multiple documents, or route documents by type.
Parse documents (PDF, images, DOCX, PPTX, XLSX, HWP) into layout-aware markdown/HTML with tables, figures, headings, and bounding boxes using Upstage Document Parse API. Use when user asks to convert documents to markdown/HTML, preserve layout/tables, or analyze document structure โ '์ด PDF๋ฅผ ๋งํฌ๋ค์ด์ผ๋ก ๋ณํํด์ค', '๋ฌธ์ ๊ตฌ์กฐ ๋ถ์ํด์ค', 'ํ/๋ ์ด์์ ๊ทธ๋๋ก ์ถ์ถํด์ค', 'parse this PDF to markdown'. DO NOT use for plain text-only extraction with word coordinates โ use upstage-ocr instead. DO NOT use for schema-driven field extraction (specific values like invoice total) โ use upstage-information-extraction instead.
Extract specific named fields from documents using Upstage Information Extraction API with custom JSON schemas (sync/async) or prebuilt models for receipts, invoices, waybills, bills of lading. Use when user wants named values like '์ฒญ๊ตฌ์ก', '์ฃผ๋ฌธ๋ฒํธ', invoice total, supplier name โ '์์์ฆ์์ ๊ธ์ก์ด๋ ๋ ์ง ๋ฝ์์ค', '์ธ๋ณด์ด์ค ํ๋ ์ถ์ถํด์ค', 'extract invoice number and amount', 'pull structured data from receipts'. DO NOT use for plain text extraction without a schema โ use upstage-ocr. DO NOT use for full document layout/markdown conversion โ use upstage-document-parse. For schema design help, pair with upstage-schema-generation.
Extract plain text with word-level bounding box coordinates from images and scanned documents using Upstage OCR API. Use when user asks to OCR a document, extract raw text from an image/scan, or get text coordinates โ '์ด๋ฏธ์ง์์ ํ ์คํธ๋ง ๋ฝ์์ค', 'OCR ๋๋ ค์ค', 'extract text with coordinates'. DO NOT use for layout-aware extraction (tables, figures, markdown/HTML conversion) โ use upstage-document-parse instead. DO NOT use for schema-driven field extraction (invoice number, total amount) โ use upstage-information-extraction instead.
Generate a JSON schema for structured document information extraction. Use this skill whenever the user asks to generate or create a schema for a document โ including phrases like "์คํค๋ง ์์ฑํด์ค", "์ด ๋ฌธ์์์ ๋ญ ์ถ์ถํ ์ง ์คํค๋ง ์ง์ค", "generate a schema for this document", or any request to define extraction fields for a document. Also trigger when the user provides file paths or a folder path containing documents and wants a schema generated.
Delegate longer user-facing text generation to Upstage Solar Pro3 while keeping the primary model for planning and tool calls. Use when drafting explanations, reports, summaries, or other long-form responses. Delegation is controlled by session enablement and a token threshold.
Run document processing workflows using Upstage Document Agent API (v2) โ both Studio-UI-configured agents (`agt_xxx`) and programmatically defined Agents/Configs via REST API. Handles file upload, agent/config creation, job execution, and result polling. Use when user asks to run an agent workflow, execute a Studio pipeline, create an agent or config via API, run a Document Agent job, or process documents through parse โ classify โ extract chains. Triggers on '์์ด์ ํธ ์ํฌํ๋ก์ฐ ๋๋ ค์ค', 'Studio ํ์ดํ๋ผ์ธ ์คํํด์ค', 'Document Agent API', 'config ์์ฑํด์ค', 'create agent', 'run job'.