blog-post 是做什麼的？
撰寫與結構化長篇部落格文章、建立教學大綱，並透過封面圖片生成優化內容的 SEO。當使用者要求撰寫部落格文章、文章、操作指南、教學、技術文件、思想領導力文章或長篇內容時使用。
撰寫與結構化長篇部落格文章、建立教學大綱，並透過封面圖片生成優化內容的 SEO。當使用者要求撰寫部落格文章、文章、操作指南、教學、技術文件、思想領導力文章或長篇內容時使用。
此技能專門用於生成高品質的長篇部落格文章與技術教學內容。它能夠自動建立文章大綱、結構化段落，並針對 SEO 進行關鍵字與排版優化，同時還支援自動生成封面圖片以提升視覺吸引力。適用於要求撰寫部落格、文章、操作指南、教學、技術文件或思想領導力內容的情境。支援的平台包括 LangChain 相關的 AI 代理工具，如 Claude Code 等。技能運作方式是根據使用者輸入的主題或指令，分析最佳內容結構，並結合 SEO 最佳實踐來產出文件，最終可能輸出為 Markdown 格式。這對於需要快速產出專業且具備網路可發現性的內容開發者與內容創作者特別有用。
npx skills add https://github.com/langchain-ai/deepagents/tree/main/skills/blog-postInstalled? Explore more 影像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
撰寫與結構化長篇部落格文章、建立教學大綱，並透過封面圖片生成優化內容的 SEO。當使用者要求撰寫部落格文章、文章、操作指南、教學、技術文件、思想領導力文章或長篇內容時使用。
This repo contains 4 individual skills — each has its own dedicated page.
Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.
Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.