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Found 155 Skills
Integrate with Affinda's document AI API to extract structured data from documents (invoices, resumes, receipts, contracts, and custom types). Covers authentication, client libraries (Python, TypeScript), structured outputs with Pydantic models and TypeScript interfaces, webhooks, upload patterns, and the full documentation map. Use when building integrations that parse, classify, or extract data from documents using Affinda.
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text
End-to-end deck pipeline — extract, build, audit, critique, and polish in one pass. Use when the user wants a complete deck from scratch with a template, says "create a full deck", "build me a presentation end to end", "make a polished deck from this template", or provides both a brief and a template and expects a finished, presentation-ready result. Prefer this over chaining individual skills manually.
Integrate with HyperAPI for financial document processing - OCR text extraction, document classification, PDF splitting, and structured data extraction from invoices, receipts, and financial documents. Use when the user needs to parse PDFs, extract text from documents, classify document types, split multi-document PDFs, or extract structured entities like invoice numbers, vendor names, line items. Keywords: hyperapi, hyperbots, document parsing, OCR, PDF processing, invoice extraction, receipt processing, document classification, VLM, vision language model.
Convert PDF files into editable Word and Markdown outputs with the bundled conversion scripts and workflow guide.
Create, edit, and convert Word documents (.docx) using Syncfusion DocIO. Supports to generate java code for the user's project. Use when the user mentions docx, Word processing, document generation, Syncfusion DocIO, or syncfusion java word.
Generate various legal service documents (litigation plans, consultation reports, non-litigation plans, proposals, communication reports, etc.) based on case materials or communication records. This skill shall be used when users need to organize case materials, consultation records or communication content into professional legal documents.
Build, edit, analyze, and improve PowerPoint presentations (.pptx). Use when a user asks to: (1) Create a new presentation from scratch, (2) Edit or modify slides, text, images, or layouts, (3) Analyze a presentation for quality, consistency, or content, (4) Improve an existing presentation's design, structure, or readability, (5) Extract text or speaker notes, (6) Add charts, tables, or media to slides, (7) Review or critique a presentation.
Use this skill when the user requests to "read paper", "analyze paper", "summarize paper", "read a paper", "analyze literature", "help me look at this paper", "paper notes", or provides a PDF file that appears to be an academic paper. It is specialized for CV/DL papers. It also supports Zotero integration: "read this paper...", "quickly look at this paper...", "critically analyze this paper...", "read XXX from Zotero", "batch read papers under the VLA category in Zotero" **Important Trigger Phrases**: "read XXX", "read this one", "help me read" → must call this skill
Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output).
Extract structured review themes from any input source: supports files (PDF/Word/Markdown/Tex), folders, images, natural language descriptions, web URLs, etc.; automatically identifies input types and extracts content; generates structured output of "Theme + Keywords + Core Questions" which can be directly used for systematic-literature-review and other literature review skills.
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples.