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To implement advanced features beyond your expertise, like metal shaders, create a custom AI "skill." You can train an AI agent by feeding it information from various sources, such as YouTube tutorial transcripts and technical articles, compiling a specialized knowledge base for it to draw upon.
For niche tasks, leverage an AI model with deep domain knowledge (like Claude for its own 'Skills' feature) to create highly specific prompts. Then, feed these optimized prompts into a powerful, generalist coding assistant (like Google's) to achieve a more accurate and robust final product.
Instead of complex SDKs or custom code, users can extend tools like Cowork by writing simple Markdown files called "Skills." These files guide the AI's behavior, making customization accessible to a broader audience and proving highly effective with powerful models.
To improve an agent's performance on a specific task like prompting the VO3 video model, create a dedicated 'onboarding document'. Use a tool like Perplexity to gather best practices from experts, compile them into a doc, and instruct the agent to reference it. This shortcuts the learning curve and embeds expertise.
Users can now upload instructional files to teach Claude AI specific abilities. This allows the AI to perform complex, branded tasks like creating presentations or designing posters according to a company's unique style guide, effectively turning it into a personalized expert assistant.
A key capability is creating skills that continuously search the web, Reddit, and X for the latest techniques on a topic. The agent then incorporates this new knowledge to improve its future outputs and stay current.
"Skills" are markdown files that provide an AI agent with an expert-level instruction manual for a specific task. By encoding best practices, do's/don'ts, and references into a skill, you create a persistent, reusable asset that elevates the AI's performance almost instantly.
Instead of manually learning and implementing complex design techniques you find online, feed the URL of the article or example directly to an AI coding assistant. The AI can analyze the technique and apply it to your existing components, saving significant time.
If you find yourself using the same complex prompt repeatedly, codify it into a "skill." A skill is a simple markdown file with instructions that the AI can invoke on command. You can even ask the AI to help you build the skill itself, raising the ceiling of its output and making your workflow more efficient.
Create a custom AI agent trained on the philosophies and techniques of designers you admire. Feed it their articles, code examples, and tweets to build a "visual design auditor" that provides feedback and suggestions aligned with their collective style.
Treat AI skills not just as prompts, but as instruction manuals embodying deep domain expertise. An expert can 'download their brain' into a skill, providing the final 10-20% of nuance that generic AI outputs lack, leading to superior results.