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Blog Post

Official
langchain-ai·vlatest·writing·MIT

Generates original blog posts on specified topics using advanced language models, streamlining content creation for blogs and websites.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add langchain-ai/deepagents --skill blog-post --full-depth -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

langchain-ai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned langchain-ai/deepagents at f2a98d2bb4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 169 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The blog-post skill enables AI agents to generate well-structured, engaging blog posts on a wide range of topics. It leverages language models to create content that is informative, SEO-friendly, and tailored to the user's specified tone or audience.

When to use it

  • Writing a new blog post for a website or personal brand
  • Generating draft content based on keyword research or topic ideas
  • Automating content creation for regular publishing schedules

Key capabilities

  • Generates full blog posts with introductions, body sections, and conclusions
  • Supports customization of tone (e.g., formal, casual, technical)
  • Integrates SEO best practices like keyword placement and meta descriptions

Example prompts

  • "Write a 1000-word blog post about the benefits of AI in education."
  • "Generate a casual, conversational blog post on remote work trends for a tech startup audience."
  • "Create an SEO-optimized article on climate change with keywords: 'global warming', 'sustainability', and 'renewable energy'."

Tips & gotchas

  • Provide clear guidelines or outlines to ensure the generated content aligns with your expectations.
  • Review and edit the output for accuracy, especially if the topic requires technical precision or brand-specific language.