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Blog Post

OrganizationPopular
langchain-ai
blog-post

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.

Overview

Publisherlangchain-ai
Repositorydeepagents
Skill nameblog-post
Stars
29.9K
Forks
4.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by langchain-ai on GitHub. Read the source before you install it.

Installation

Install the Blog Post AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/langchain-ai/deepagents/tree/main/examples/content-builder-agent/skills/blog-post
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/langchain-ai/deepagents.git /tmp/deepagents
mkdir -p .claude/skills
cp -r /tmp/deepagents/examples/content-builder-agent/skills/blog-post .claude/skills/blog-post
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog Post in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blog Post on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blog Post is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Blog Post Writing Skill

Research First (Required)

Before writing any blog post, you MUST delegate research:

  1. Use the task tool with subagent_type: "researcher"
  2. In the description, specify BOTH the topic AND where to save:
task(
    subagent_type="researcher",
    description="Research [TOPIC]. Save findings to research/[slug].md"
)

Example:

task(
    subagent_type="researcher",
    description="Research the current state of AI agents in 2025. Save findings to research/ai-agents-2025.md"
)
  1. After research completes, read the findings file before writing

Output Structure (Required)

Every blog post MUST have both a post AND a cover image:

blogs/
└── <slug>/
    ├── post.md        # The blog post content
    └── hero.png       # REQUIRED: Generated cover image

Example: A post about "AI Agents in 2025" → blogs/ai-agents-2025/

You MUST complete both steps:

  1. Write the post to blogs/<slug>/post.md
  2. Generate a cover image using generate_image and save to blogs/<slug>/hero.png

A blog post is NOT complete without its cover image.

Blog Post Structure

Every blog post should follow this structure:

1. Hook (Opening)

  • Start with a compelling question, statistic, or statement
  • Make the reader want to continue
  • Keep it to 2-3 sentences

2. Context (The Problem)

  • Explain why this topic matters
  • Describe the problem or opportunity
  • Connect to the reader's experience

3. Main Content (The Solution)

  • Break into 3-5 main sections with H2 headers
  • Each section covers one key point
  • Include code examples, diagrams, or screenshots where helpful
  • Use bullet points for lists

4. Practical Application

  • Show how to apply the concepts
  • Include step-by-step instructions if applicable
  • Provide code snippets or templates

5. Conclusion & CTA

  • Summarize key takeaways (3 bullets max)
  • End with a clear call-to-action
  • Link to related resources

Cover Image Generation

After writing the post, generate a cover image using the generate_cover tool:

generate_cover(prompt="A detailed description of the image...", slug="your-blog-slug")

The tool saves the image to blogs/<slug>/hero.png.

Writing Effective Image Prompts

Structure your prompt with these elements:

  1. Subject: What is the main focus? Be specific and concrete.
  2. Style: Art direction (minimalist, isometric, flat design, 3D render, watercolor, etc.)
  3. Composition: How elements are arranged (centered, rule of thirds, symmetrical)
  4. Color palette: Specific colors or mood (warm earth tones, cool blues and purples, high contrast)
  5. Lighting/Atmosphere: Soft diffused light, dramatic shadows, golden hour, neon glow
  6. Technical details: Aspect ratio considerations, negative space for text overlay

Example Prompts

For a technical blog post:

Isometric 3D illustration of interconnected glowing cubes representing AI agents, each cube has subtle circuit patterns. Cubes connected by luminous data streams. Deep navy background (#0a192f) with electric blue (#64ffda) and soft purple (#c792ea) accents. Clean minimal style, lots of negative space at top for title. Professional tech aesthetic.

For a tutorial/how-to:

Clean flat illustration of hands typing on a keyboard with abstract code symbols floating upward, transforming into lightbulbs and gears. Warm gradient background from soft coral to light peach. Friendly, approachable style. Centered composition with space for text overlay.

For thought leadership:

Abstract visualization of a human silhouette profile merging with geometric neural network patterns. Split composition - organic watercolor texture on left transitioning to clean vector lines on right. Muted sage green and warm terracotta color scheme. Contemplative, forward-thinking mood.

SEO Considerations

  • Include the main keyword in the title and first paragraph
  • Use the keyword naturally 3-5 times throughout
  • Keep the title under 60 characters
  • Write a meta description (150-160 characters)

Quality Checklist

Before finishing:

  • Post saved to blogs/<slug>/post.md
  • Hero image generated at blogs/<slug>/hero.png
  • Hook grabs attention in first 2 sentences
  • Each section has a clear purpose
  • Conclusion summarizes key points
  • CTA tells reader what to do next

Frequently asked questions

What does the Blog Post AI skill do?

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.

Why use Blog Post on TypingMind?

Because you install it once and use it with any model. Blog Post is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blog Post in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/langchain-ai/deepagents/tree/main/examples/content-builder-agent/skills/blog-post. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blog Post?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blog Post?

As many as you like. As long as a model supports skills, you can use Blog Post with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog Post AI skill free?

Yes. It is published on GitHub by langchain-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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