「ocr」の検索結果

Meta-skill for pre-accounting automation by orchestrating gmail, deepread-ocr, stripe-api, and xero.

日本語の概要は準備中です。原文の説明を表示しています。

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.

日本語の概要は準備中です。原文の説明を表示しています。

Convert PDF, DOCX, XLSX, PPTX, EPUB, images, or audio to Markdown via the markitdown-mcp server — 'extract this PDF', 'OCR this image', 'transcribe this audio'.

日本語の概要は準備中です。原文の説明を表示しています。

Use to analyse a character image down to the smallest mole and diff against a canon — per-feature spec, OCR-reads tattoo text, flags drift. Triggers 'analyse this image', 'match the canon'.

日本語の概要は準備中です。原文の説明を表示しています。

All agents have equal voice; decisions made by majority vote.

日本語の概要は準備中です。原文の説明を表示しています。

Biblioteca PyTorch para geração de áudio incluindo text-to-music (MusicGen) e text-to-sound (AudioGen). Use quando precisar gerar música a partir de descrições de texto, criar efeitos sonoros ou realizar geração de música condicionada por melodia.

日本語の概要は準備中です。原文の説明を表示しています。

Use this Canvas-owned clean-room skill for PDF work where layout, extraction, generation, forms, page operations, or visual verification matter. Trigger for reading PDFs beyond plain text, creating PDFs, merging, splitting, rotating, watermarking, extracting tables or images, filling forms, OCR handoff, and final PDF QA.

日本語の概要は準備中です。原文の説明を表示しています。

[Document Processing] Use when you need to convert PDF files to Markdown with support for native text PDFs and scanned documents (OCR).

日本語の概要は準備中です。原文の説明を表示しています。

Convert documents to Markdown using Microsoft's MarkItDown CLI (`markitdown`). Supports PDF, Word, PowerPoint, Excel, images (OCR), audio (transcription), HTML, YouTube, and URLs. Use when a user wants to convert a file or URL to Markdown, extract text from PDFs/images, transcribe audio/video, or batch-convert documents.

日本語の概要は準備中です。原文の説明を表示しています。

Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

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AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

日本語の概要は準備中です。原文の説明を表示しています。

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), pr...

日本語の概要は準備中です。原文の説明を表示しています。

Detect and prevent QR code phishing (quishing) attacks that bypass traditional email security by embedding malicious URLs in QR code images within emails.

日本語の概要は準備中です。原文の説明を表示しています。

Load only when the user asks for Robin/Rodin neutral mode, Socratic intellectual sparring, steelmanning, anti-echo-chamber critique, or a deep societal/political/religious/economic discussion; not for coding, factual lookup, or ordinary advice.

日本語の概要は準備中です。原文の説明を表示しています。

Generate professional documents — PDF, Word (.docx), Excel (.xlsx), and invoices — from natural language descriptions or structured data. Covers AI-powered and simple document creation, HTML-to-PDF conversion, PDF extraction/OCR, merging, watermarking, and data export. Use when you need to create campaign decks, reports, proposals, invoices, spreadsheets, or any shareable document — especially for Step 7 monthly presentations, campaign briefs, and analytics reports.

日本語の概要は準備中です。原文の説明を表示しています。

Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

日本語の概要は準備中です。原文の説明を表示しています。

Extract text from PDFs/scans (pymupdf, marker-pdf).

日本語の概要は準備中です。原文の説明を表示しています。

This article presents a comprehensive, open-source Python framework that democratizes climate modeli

日本語の概要は準備中です。原文の説明を表示しています。

Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.

日本語の概要は準備中です。原文の説明を表示しています。

Interactive idea refinement using Socratic method to develop fully-formed designs

日本語の概要は準備中です。原文の説明を表示しています。

Civic tech v2 — transparency, open data, citizen participation, e-government

日本語の概要は準備中です。原文の説明を表示しています。

Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze and improve existing Ozor.ai video prompts for better output quality. Use this skill whenever the user has an Ozor prompt that produced mediocre results, wants to improve a video prompt, needs help debugging why a video didn't turn out well, or wants expert feedback on their prompt before running it. Trigger on phrases like 'improve this prompt', 'optimize my Ozor prompt', 'why did my video look bad', 'fix this prompt', 'make this prompt better', 'review my Ozor prompt', 'the video didn't turn out right', 'prompt feedback', 'better results from Ozor', or any request to refine, debug, or enhance an existing Ozor video prompt.

日本語の概要は準備中です。原文の説明を表示しています。