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Found 1,051 Skills
Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, Feishu/Lark, Bilibili, Telegram, RSS, and any web page. Use when user provides a URL and wants its content extracted.
Convert legal texts (legal provisions or legal cases) into standardized Markdown format and remove promotional redundant information. This skill shall be used when users need to process legal provisions (such as the Civil Code, Criminal Law, etc.), organize legal cases (such as typical cases of the Supreme People's Court, judgment documents, etc.), or format legal documents from pasted text. Note: This skill is only responsible for formatting and content cleaning, and does not have content crawling capability. Content acquisition shall be completed by other skills (such as wechat-article-fetch), and AI will automatically determine the skill collaboration sequence.
PDF data extraction tool. Use it when users mention "PDF extraction", "PDF to Markdown", "PDF parsing", "extract PDF content", "PDF to JSON", "RAG PDF". OpenDataLoader PDF is currently the top-ranked PDF parser in benchmark tests, supporting local mode (fast, deterministic) and hybrid AI mode (for complex tables, scanned documents, formulas), with output formats including Markdown, JSON (with bounding boxes), and HTML. It is suitable for scenarios where structured data needs to be extracted from PDFs for RAG/LLM pipelines, or where batch processing of PDF documents is required.
Maintain JSONL-only profiler performance test cases under csrc/ops/<op>/test in ascend-kernel. Collect data using torch_npu.profiler (with fixed warmup=5 and active=5), aggregate the Total Time(us) from ASCEND_PROFILER_OUTPUT/op_statistic.csv, and output a unified Markdown comparison report (custom operator vs baseline) that includes a DType column. Do not generate perf_cases.json or *_profiler_results.json. Refer to examples/layer_norm_profiler_reference/ for the reference implementation.
A tool for converting Markdown to WeChat Official Account HTML, supporting full inline styles, system font stacks, rich components, custom theme colors and metadata, generating HTML compatible with WeChat Official Account Editor. Use when: - Convert Markdown to WeChat Official Account HTML - WeChat article formatting - Articles with custom theme colors - Batch WeChat content generation - Publish tech articles to WeChat Official Account - WeChat style components Cross-references: content-extractor, long-form-writer, document-hub, wechat-article-fetcher, image-ocr Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
Upload screenshots and images to GitHub, returning markdown-ready URLs for PRs, issues, and comments. Use when needing to attach images to GitHub PRs/issues, upload screenshots, embed visuals in markdown, or when a workflow produces images that should be shared on GitHub. Trigger words - upload image, attach screenshot, add image to PR, embed screenshot, visual diff, before/after screenshot.
Build full-text bilingual, figure-aware, source-grounded Markdown reading files for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate an entire paper, make a complete markdown reader, preserve figure or table placement near the relevant prose, or keep exact source anchors for every block. Do not use this for summaries, bullet-keyword notes, or citation-only tasks.
Use this skill for Obsidian-native formatting and derived artifacts such as Markdown formatting, wikilinks, registry tables, canvas files, optional Bases, CLI operations, and link repair. This skill does not decide knowledge routing.
Convert any document to Markdown with Microsoft's `markitdown` CLI — PDF, Word, Excel, PowerPoint, HTML, CSV, JSON, XML, ZIP, EPub, images (OCR/EXIF), audio (transcription), and YouTube URLs. Use whenever the user wants to extract text from a binary document, transcribe audio, OCR an image, scrape a YouTube transcript, or pre-process a file for an LLM context window — even when they just say "convert this pdf", "what's in this docx", "transcribe this mp3", or "get the text out of this".
This skill should be used to search the local Obsidian vault / markdown knowledge base by meaning, not just keywords, using the on-device qmd engine (BM25 + vector + LLM rerank). Trigger when the user asks to "search my vault/notes", "find notes about X", "what do my notes say about Y", "do I have anything on Z", "semantic search my knowledge base", or wants concept/cross-lingual retrieval over markdown. Fully local — nothing leaves the machine.
Validate ASCII diagram alignment in markdown. TRIGGERS - diagram alignment, ASCII art, box-drawing diagrams.
Use when generating PDFs from markdown with Pandoc - covers differences from Python-Markdown, blank line rules, fix scripts for labels/anchors/metadata, and visual testing workflow