Loading...
Loading...
Found 645 Skills
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
Set reminders using natural language. Automatically creates one-time cron jobs and logs to markdown.
Set up a complete book writing workspace with AI agents, instructions, prompts, and scripts. Use when users want to create a new book/technical writing project with Markdown + Re:VIEW + PDF output workflow. Triggers on "book writing workspace", "technical book project", "執筆ワークスペース", or similar project setup requests.
Use the official MinerU (mineru.net) parsing API to convert a URL (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown + structured outputs. Use when web_fetch/browser can’t access or extracts messy content, and you want higher-fidelity parsing (layout/table/formula/OCR).
Local code review tool for self-inspection before git push. Triggered when users request phrases like "review my code", "check code changes", "review this commit", "review this", "code review", "git review", "help me check my code". Supports reviewing unstaged, staged uncommitted, and committed unpushed changes, and outputs a Markdown review report with scores.
Optimize the content of Official Accounts articles in local Markdown files to make them more suitable for Chinese users aged 16-50 to read on the WeChat Official Accounts Platform. It supports optimizing article structure, language expression, and typography, as well as improving opening attractiveness, paragraph rhythm, and end conversion. This skill is applicable when users need to optimize Official Accounts articles, improve Markdown content quality, and enhance article reading experience.
WeChat Official Account Article Aggregator. Batch fetch the latest article list of specified WeChat Official Account authors via the mptext.top API, download article content and parse it into Markdown/HTML/plain text formats. It supports fetching by official account name or fakeid, and comes with 8 popular AI tech official accounts pre-configured. Applicable scenarios: fetch the latest articles of specified official accounts, batch crawl content from multiple authors, aggregated reading of official account articles, technical information collection. Keywords: official account article acquisition, WeChat article crawling, official account aggregation, article collection, mptext API.
Fetch and parse WeChat Official Account articles. Extract titles, authors, official account names, main content, images and metadata from WeChat article links. It is used when users provide WeChat article links (mp.weixin.qq.com/s/...) and want to read, extract, download or convert article content. Applicable scenarios include obtaining/downloading WeChat articles, extracting text or metadata from WeChat articles, converting WeChat articles to Markdown, and saving WeChat articles along with images locally. Keywords: WeChat Official Account, article acquisition, article scraping, article download.
Export Feishu documents or knowledge base documents to Markdown files, or export them to formats such as PDF/Word/Excel (asynchronous tasks). It also supports importing local DOCX/XLSX files into Feishu cloud documents. It is triggered when users request "export document", "convert to Markdown", "save as md", "export PDF", "export Word", "convert docx to Feishu", "import docx". Markdown is stored in the /tmp directory as an intermediate format.
Read content from Feishu cloud documents or knowledge bases and analyze document structure. It is used when users request to "view", "read", "analyze", "fetch", "open" Feishu documents or knowledge bases. It supports reading via document ID, knowledge base Token or URL. Markdown is used as the intermediate format and stored in the /tmp directory.
Apply OceanBase documentation formatting standards including meta tables, notice boxes, spacing, and markdown lint compliance. Use when formatting or reviewing OceanBase documentation.
Work with Obsidian vaults (plain Markdown notes) via notesmd-cli. Use when the user asks to create, read, search, list, move, delete notes, manage frontmatter, or interact with their Obsidian vault from the terminal. Works without Obsidian running.