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Found 82 Skills
Extract valuable legal question-answer pairs from lawyer-client communication records and generate structured knowledge base content. This skill should be used when users need to organize client consultation records, extract reusable legal knowledge from conversations, create Q&A knowledge bases, or prepare content marketing materials. Strict client information desensitization is supported.
Pdf Parser - Auto-activating skill for Business Automation. Triggers on: pdf parser, pdf parser Part of the Business Automation skill category.
Crawl WeChat Official Account articles, supporting full-text extraction, mixed text and image layout, local image download, and summary generation. Call this when you need to access WeChat Official Account links and convert them to Markdown.
Summarize Hebrew tech lectures and meetings from transcription files into structured Markdown. Use when the user asks to summarize a transcription, create meeting notes, summarize a lecture/presentation in Hebrew, or mentions סיכום/תמלול/הרצאה.
Article Summary, TL;DR, Link Reading. When users express an intention to summarize, or only paste a URL/Markdown full text, extract the readable content and output a Traditional Chinese summary according to the rules.
Build a section-by-section claim–evidence matrix (`outline/claim_evidence_matrix.md`) from the outline and paper notes. **Trigger**: claim–evidence matrix, evidence mapping, 证据矩阵, 主张-证据对齐. **Use when**: 写 prose 之前需要把每个小节的可检验主张与证据来源显式化(outline + paper notes 已就绪)。 **Skip if**: 缺少 `outline/outline.yml` 或 `papers/paper_notes.jsonl`。 **Network**: none. **Guardrail**: bullets-only(NO PROSE);每个 claim 至少 2 个证据来源(或显式说明例外)。
Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.
KillerPDF is a portable, single-EXE Windows PDF editor built with C#/WPF and PDFium — supports viewing, annotating, merging, splitting, signing, and printing PDFs with no installer, account, or telemetry.
Convert markdown files to PDF using Chrome. Use when user wants to render markdown to PDF, print a document, or create a shareable PDF from markdown. Triggers on "markdown to pdf", "render to pdf", "pdf from markdown", "print this markdown".
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
Reads Google Sheets and converts content to markdown. Use when the user asks to read, fetch, or convert Google Sheets data to markdown.