blog-post_skill

Overview

This skill streamlines creation of long-form blog posts, tutorials, and educational articles with structure, SEO, and cover image generation built in. It enforces a research-first workflow, a clear post structure, and required deliverables so published posts are complete and discoverable. Use it to produce polished technical content that includes code, visuals, and a ready-to-use hero image.

How this skill works

Before writing, the skill delegates research to a researcher subagent and saves findings to a designated research file; the post is written only after reading that research. It mandates a specific folder structure for each post, writes the content into a post.md file, and generates a hero image via an image-generation tool. The skill also guides title, keyword placement, meta description, and a simple quality checklist to ensure SEO and reader engagement.

When to use it

• Writing long-form blog posts or tutorials that require depth and structure
• Creating educational or how-to articles with code examples and step-by-step instructions
• Producing thought leadership pieces that need a polished cover image and clear CTA
• Preparing content that must meet SEO rules (title, keyword usage, meta description)
• When you want an enforceable workflow that includes research and asset generation

Best practices

• Always run the researcher subagent first and read the saved research file before drafting
• Pick a concise title under 60 characters and include the main keyword in the first paragraph
• Structure the post with Hook, Context, 3–5 H2 sections, Practical Application, and Conclusion + CTA
• Generate a hero image with a clear prompt including subject, style, composition, palette, and negative space
• Save the post to the required blogs/<slug>/post.md path and the cover to blogs/<slug>/hero.png

Example use cases

• A tutorial showing how to build an agentic pipeline with Deep Agents, including code snippets and diagrams
• A thought leadership article on the future of langchain and langgraph integrations with agent architectures
• A step-by-step guide for spawning subagents to handle complex tasks, with practical code templates
• An SEO-optimized educational post comparing agent planning tools and filesystem backends