Google has dominated as a search engine for nearly two decades, but they are starting to lose their lead to AI chat tools. No one wants to dig through Google search results one at a time like a caveman anymore. We ask ChatGPT or Perplexity, who then asks Google, Reddit, Wikipedia, and other sources, then provides a comprehensive answer with links.

Instead of SEO, companies are starting to focus on AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization). But how do you optimize your website and brand for this new AI SEO? And how would it be measured?

Anthropic just released a new Skills feature, allowing users to create and share custom skills that Claude can use across all tools (Desktop, web, CLI, API). They work like a mix between a system prompt and an MCP, giving Claude a programatic way to lookup context before performing specific tasks.

Skills are created by adding Markdown files with extra instructions, with a YML frontmatter description that can be quickly indexed instead of reading the whole document. This way the skill’s title and description can be scanned like tools in an MCP, without needing to perform retrieval on the full document unless it is needed. So it’s more than just a fancy system prompt. It actually reduces token usage, and lets Claude access extra instructions more like tools than a RAG source.

The next time you’re repeating a task or reusing a saved prompt, try creating a Claude Code Skill instead! Claude will look for mentions of the skill name in your prompt, and only reference it when needed.

Speaking of creating Claude Code Skills: At first I was creating skills ‘as needed’ based on what I’m currently building. But then I realized Claude and ChatGPT can reference past threads, and should be able to give me a list of all the areas they have previously struggled on the types of projects I like to build.

𝐒𝐨 𝐈 𝐜𝐚𝐦𝐞 𝐮𝐩 𝐰𝐢𝐭𝐡 𝐭𝐡𝐢𝐬 𝐩𝐫𝐨𝐦𝐩𝐭:

Try it in Claude, ChatGPT or any AI you use regularly that can access previous threads. You’ll get back a list of problem areas that can then be turned into new skills proactively, so they are ready the next time that same problem comes back up!

Retrieval-Augmented Generation is usually performed by fetching data from a vector storage, but it turns out graph databases can be even better for certain types of queries. Knowledge graphs enable LLMs to query records based on data about the relationships, in addition to the records themselves. This provides more accurate, repeatable and explainable LLM responses when working with structured data.

In this guide, I’ll show you how to run Neo4j and Appsmith locally, and build your own knowledge graph and GraphRAG pipeline. From there you can connect other datasources and build a custom UI with GraphRAG powered by Neo4j.

About those Claude Code Skills though… How exactly do you create one? Did you know there’s a skill for that!? No, not the official skill-creator skill from Anthropic. This one is specifically made to crawl documentation websites!

I’m talking about Skill Seekers from Yusuf Karaaslan. It extracts, processes and summarizes documentation websites, and then creates the optimized *.md version for your new skill, along with the zip file to install it on web or Claude Desktop.

Shoutout to Yusuf for making this awesome Skill_Seekers tool open source!

Whether you’re building a fullstack app from scratch, or using a no-code/low-code platform, at some point you’ll have to deal with users uploading massive images when high-resolution is not required for the use case. You can either accept the large files and process them server-side, and deal with the extra storage— or transform the images on the client-side and save some bandwidth and storage space.

In this guide, I show how to use native JS methods and the Dropzone library to build an image resizing and compression tool that works client-side, allowing users to adjust images before uploading. I’m using Appsmith for the platform and server, but the same frontend code could be used in a fullstack app to minimize storage requirements and reduce cost associated with your app.

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