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Found 1,020 Skills
Parse, search, analyze, and ingest LinkedIn GDPR data exports. This skill should be used when working with LinkedIn data — searching messages, analyzing connections, exporting to Markdown, or ingesting into RLAMA for semantic search. Requires a LinkedIn GDPR data export ZIP file.
Use the turl CLI to resolve Amp, Codex, Claude, or OpenCode thread URIs and print thread content in markdown or raw records.
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.
Publish local Markdown articles to the WeChat Official Account draft box. Use this skill when users mention publishing articles to WeChat Official Accounts, uploading Markdown to WeChat Official Accounts, or needing to sync local articles to WeChat Official Accounts.
Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.
Implement Syncfusion WPF SfMarkdownViewer for rendering and displaying Markdown content in WPF applications. Use this when rendering Markdown text, loading Markdown from strings, files, or URLs, handling hyperlink clicks, or displaying Mermaid diagrams. Covers the Source property, HyperlinkClicked events, and MermaidBlockTemplate customization.
Convert HTML and Markdown content into Portable Text blocks for Sanity. Use when migrating content from legacy CMSs, importing HTML or Markdown into Sanity, building content pipelines that ingest external content, converting rich text between formats, or programmatically creating Portable Text documents. Covers @portabletext/markdown (markdownToPortableText), @portabletext/block-tools (htmlToBlocks), custom deserializers, and the Portable Text specification for manual block construction.
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.
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.
Fill web forms by fetching form fields from a URL, deep-searching the user's local knowledge base for relevant info, and generating a markdown document with all answers pre-filled. Use when the user provides a URL to a web form (conference application, speaker submission, event registration, profile form) and wants help filling it out from their existing materials. Also trigger when the user mentions "填网页表", "fill web form", "网页填表", "表单填写", "申请表填写", "conference application", "speaker submission", "讲师申请", "报名表", or provides a URL with "form", "feedback", "apply", "register", "submit" in the path.
This skill handles the workflow of chapter screenshots and illustrations during book writing. It applies to: sorting out which screenshots are needed for a chapter, providing step-by-step practical prompts for Claude Code, defining the mapping between screenshot filenames and figure numbers, filling image positions in local Markdown, cleaning up author notes to create reader-facing text, and synchronizing chapters and images to Feishu Docs in the correct positions. This skill should be triggered when users mention terms like "book screenshots", "chapter illustrations", "figure number correspondence", "insert into original text", "upload to Feishu Docs", or "follow the previous workflow".
Create diagrams and visualizations in Markdown using Mermaid, Graphviz, Vega-Lite, PlantUML, infographics, JSON Canvas, architecture diagrams, and info cards. Use when asked to create any diagram, chart, visualization, or visual documentation.