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.

"Skills" in Claude Code are more than saved prompts; they are named functions packaging a prompt, specific execution heuristics, and a defined set of tools (via MCP). This lets users reliably trigger complex, multi-step agentic workflows like deep chart analysis with a single, simple command.

Reusable instruction files (like skill.md) that teach an AI a specific task are not proprietary to one platform. These "skills" can be created in one system (e.g., Claude) and used in another (e.g., Manus), making them a crucial, portable asset for leveraging AI across different models.

The most effective way to build a powerful automation prompt is to interview a human expert, document their step-by-step process and decision criteria, and translate that knowledge directly into the AI's instructions. Don't invent; document and translate.

Instead of pre-designing a complex AI system, first achieve your desired output through a manual, iterative conversation. Then, instruct the AI to review the entire session and convert that successful workflow into a reusable "skill." This reverse-engineers a perfect system from a proven process.

Instead of uploading brand guides for every new AI task, use Claude's "Skills" feature to create a persistent knowledge base. This allows the AI to access core business information like brand voice or design kits across all projects, saving time and ensuring consistency.

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.