blog-post 是做什么的？
撰写并构建长篇博客文章，创建教程大纲，通过封面图片生成优化内容以提升SEO。当用户要求撰写博客文章、文章、入门指南、教程、技术文档、思想领导力文章或长篇内容时使用。
撰写并构建长篇博客文章，创建教程大纲，通过封面图片生成优化内容以提升SEO。当用户要求撰写博客文章、文章、入门指南、教程、技术文档、思想领导力文章或长篇内容时使用。
该技能专为需要撰写长篇博客文章、技术教程或思想领导力内容的开发者设计。它能够系统性地构建文章结构，自动生成教程大纲，并优化内容以提升搜索引擎排名（SEO），同时支持生成封面图片以增强视觉吸引力。该技能适用于任何需要生成专业、结构化长文本的场景，如技术博客、行业分析或教学指南。核心功能包括：根据用户输入自动生成完整文章草稿，提供可定制的大纲模板，确保内容逻辑清晰；集成SEO优化策略，如关键词建议和元描述生成；利用AI能力自动创建与内容主题匹配的封面图片。支持主流AI Agent平台（如Claude Code、Cursor等），通过解析用户意图触发相应写作流程。
npx skills add https://github.com/langchain-ai/deepagents/tree/main/skills/blog-postInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
撰写并构建长篇博客文章，创建教程大纲，通过封面图片生成优化内容以提升SEO。当用户要求撰写博客文章、文章、入门指南、教程、技术文档、思想领导力文章或长篇内容时使用。
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.