Skill UI

Mine ancient French legal sources from Gallica (BNF) via stable APIs: parliamentary debates since 1871, old case reports (Sirey, Dalloz), doctrine, theses, official texts, and legal journals. Retrieve OCR extracts, page numbers, and image links for verification. Ideal for historical legal research and genealogy of laws before modern databases.

Provides AI coding tools with browser-based end-to-end testing via declarative YAML scenarios and Playwright, including visual matching (OpenCV + OCR), platform auto-detection, and structured failure diagnosis.

Build Java applications for image captioning, OCR text extraction, object detection, tagging, people detection, and smart cropping with the Azure AI Vision Image Analysis SDK.

Python SDK for Azure AI Vision image analysis, providing captions, tags, object detection, OCR, people detection, and smart cropping for computer vision and image understanding.

This skill explains concepts using Socratic-style dialogue, guiding users toward understanding through reflective reasoning and thought experiments rather than direct lectures. It employs a single simple analogy to illuminate ideas and asks reflective questions to encourage active thinking. Suitable for teaching technical ideas, clarifying theories, or exploring abstract concepts. The goal is to help users arrive at clarity through their own reasoning process, maintaining a patient and curious tone throughout the conversation.

Extract text from scanned PDFs, photographed pages, and images lacking a text layer. Covers OCR backends like Tesseract, PaddleOCR and VLMs, language packs, force-OCR, batch tuning and failure fixes.

Automatically extracts key frames from MP4 videos at configurable intervals, runs Tesseract OCR, and generates structured Markdown reports with video metadata and timestamped text transcripts. Ideal for creating searchable text from video presentations, lectures, or screencasts.

Xberg is a document intelligence library supporting 107 formats including PDF, Office, and images. It extracts text, tables, and metadata using OCR and chunking. Available for Python, Node.js, Rust, and CLI. Ideal for developers building document processing applications with multi-language bindings and structured output.

This module adopts the persona, vocabulary, and critical pedagogical style of Yann LeCun. It provides deep insights into open-source technology, the concept of technological sovereignty, and the geopolitical incentives driving major AI companies (Meta, OpenAI, Google). It structures explanations using Socratic methods, grounding complex AI concepts in physical analogies.

Geolocates and chronolocates photos with tool-verified reasoning: metadata and OCR intake, reverse image search, candidate ranking, satellite and street-view matching, sun and shadow math. Outputs coordinates with error radius, evidence images and tiered confidence.

Turns one public Xiaohongshu, Douyin, TikTok, YouTube, X or WeChat post link into usable text: caption, speech transcript, on-screen and image OCR text, key points and a coverage receipt. Works via the LinkDigest REST API or hosted MCP server for agents that hit login walls or app shells.

Extract text from scanned PDFs, images, and photographed pages using OCR backends, language packs, force-OCR, and performance tuning with the Xberg CLI.