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Found 961 Skills
Convert files, URLs, and media to markdown using the markit-ai CLI and SDK with pluggable converters and LLM support.
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.
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.
Use when writing or editing markdown files. Covers headings, text formatting, lists, links, images, code blocks, and blockquotes.
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.
Automatically persists every plan produced by the agent as a structured Markdown file under .agentic/plans/ with a datestamped slug and updates the plans index. Prevents PLAN.md from being accidentally committed to the repository. Invoked automatically at the end of any planning session — no user prompt required. Triggered whenever an agent completes a plan, proposes a multi-step approach, or produces an architectural decision.
Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian vault or git-tracked notes repo. Use when raw sources such as web articles, papers, meeting notes, transcripts, screenshots, or past analyses need to be turned into an interlinked knowledge base with immutable source files, LLM-written wiki pages, `index.md`, `log.md`, schema rules in `AGENTS.md` or `CLAUDE.md`, source summaries, query notes, and recurring lint passes. Triggers on: llm-wiki, personal wiki, obsidian wiki, research vault, knowledge base, source ingest, persistent notes, wiki maintenance, source summaries, query filing.
Convert Markdown documents into beautiful, comfortable, well-structured, directly openable HTML long-form reports. Suitable for converting .md files to HTML, standardizing the layout of research/industry/survey documents, generating single-file web reports for offline sharing, embedding or verifying local images, fixing misaligned columns caused by Markdown table separators, or optimizing reading margins, image presentation, directory navigation, table responsiveness, and print styles of existing HTML reports.