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Found 96 Skills
This skill handles file format conversions across documents (PDF, DOCX, Markdown, HTML, TXT), data files (JSON, CSV, YAML, XML, TOML), and images (PNG, JPG, WebP, SVG, GIF). Use when the user requests converting, transforming, or exporting files between formats. Generates conversion code dynamically based on the specific request.
Condense long content into short summaries using AI. Use when summarizing meeting notes, condensing articles, creating executive briefs, extracting action items, generating TL;DRs, creating digests from long threads, summarizing customer conversations, or turning lengthy documents into bullet points. Powered by DSPy summarization.
Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
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.
Spreadsheet Creation, Editing and Analysis Toolkit
Automatically add [[wikilinks]] to all mentions of existing entities within a file or entire world. Scans for entity names, aliases, and partial matches, then wraps them in wikilink syntax. Use when user wants to "linkify", "auto-link", "add links to existing entities", or "wikilink this file".
Recursive Language Model context management for processing documents exceeding context window limits. Enables Claude to match Gemini's 2M token context capability through chunking, sub-LLM delegation, and synthesis.
Optimizes markdown documents for token efficiency, clarity, and LLM consumption. Use when (1) a markdown file needs streamlining for use as LLM context, (2) reducing token count in documentation without losing meaning, (3) converting verbose docs into concise reference material, (4) improving structure and scannability of markdown files, or (5) preparing best-practices or knowledge docs for agent consumption.
Coding assistance for [GemBox components](https://www.gemboxsoftware.com/). Use when users ask about any GemBox component or coding task that can be performed with a GemBox component. This includes GemBox.Spreadsheet (.NET read/write Excel files), GemBox.Document (.NET read/write Word files), GemBox.Pdf (.NET read/write PDF files), GemBox.Presentation (.NET read/write PowerPoint files), GemBox.Email (.NET read/write email files, send/receive emails), GemBox.Imaging (.NET read/write image files), and GemBox.PdfViewer (JavaScript display/print/save PDF files).
Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable extraction. Supports Gemini, OpenAI, and local models (Ollama). Includes visualization and long document processing.
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples.