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Found 1,051 Skills
Create Feishu Cloud Documents. Create new Feishu Cloud Documents from Lark-flavored Markdown content, with support for specifying creation locations (folders/knowledge bases/knowledge spaces).
Crawl entire websites using Cloudflare Browser Rendering /crawl API. Initiates async crawl jobs, polls for completion, and saves results as markdown files. Useful for ingesting documentation sites, knowledge bases, or any web content into your project context. Requires CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN environment variables.
Scrape content from WeChat Official Account articles. Use Playwright headless mode to perform background scraping without pop-ups, support dynamically loaded content, automatically extract titles and main text, and save as Markdown files. This skill should be used when users need to scrape WeChat Official Account article content.
Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".
Generate professional presentations with AI-generated images. Use when asked to create a deck, presentation, pitch deck, or slides. Supports style presets (whiteboard, corporate, minimalist, etc). Uses Imagen 4.0 API for image generation and Google Slides API for assembly. Produces full decks from markdown content specs in minutes.
Use this skill to publish markdown documents with mermaid diagrams to directly Confluence.
Visit a webpage and extract its content as markdown, or fetch images. Use for reading articles, documentation, or any web page content. Handles both HTML pages (via Jina Reader) and image URLs (downloads and saves locally).
Directly publish local Markdown/HTML articles to WeChat Official Account draft box via WeChat Official Account API. Supports multiple themes, preset colors, and automatic image upload.
Produce a long-form, shareable markdown writeup on whether Claude has regressed on this user's work. A bundled Python script scans `~/.claude/projects/`, computes every metric, and renders a markdown skeleton with tables already filled — in ~2.5s. Claude fills a dozen short narrative placeholders and saves. Writes `./cc-canary-<YYYY-MM-DD>.md` suitable for pasting into a GitHub issue or gist.
[Hyper] Produce a multi-source, source-backed markdown research report for fact-finding, comparisons, market/trend analysis, or evidence-backed recommendations across live web, official docs, GitHub, and local repo sources. Use when synthesis and citations are needed, not for one-source lookups.
Must be used when users explicitly request "recommend submission journals", "help me choose SCI journals for my paper", "which journals is this manuscript suitable for", "journal matching/journal selection/submission suggestions". Applicable to scenarios where users provide full text, abstracts, Markdown, LaTeX, PDF, Word, or mixed materials; This skill will first use the built-in `2023IF.xlsx` to perform minimum hard filtering to generate a candidate pool based on the manuscript and user preferences, then the host model will independently plan Set1/Set2/Set3, verify the scope / quality / PubMed papers of the last 3 months via the internet, and finally output a Markdown journal selection report sorted by recommendation level. ⚠️ Not applicable: Users only want to polish papers, only want to translate abstracts, or only ask about the official website information of a single journal without needing systematic journal selection.
Markdown チェックリスト・YAML タスクリスト・要件定義書などからプロジェクトアイテムを一括作成する。タイトル・本文・Priority・Size をパースして `gh project item-create` + `item-edit` でフィールド設定。「要件書からアイテム作って」「タスクをプロジェクトに追加」「ロードマップを取り込んで」などで使用。