While `claude.md` files can guide AI behavior, they aren't always adhered to. Use Claude Code's "session start hooks" instead. They guarantee that critical context like goals, tasks, and past mistakes is injected into every new chat, making the AI more reliable.

While Claude's built-in 'create skill' tool is clunky, its output reveals a highly structured template for effective prompts. It includes decision trees, clarifying questions for the user, and keywords for invocation, serving as an invaluable guide for building robust skills without starting from scratch.

Interact with AI agents on a meta-level by using specific keywords that act as commands to their underlying structure. Phrases like "that's a decision" or "update your soul file" are direct instructions for the agent to log information in a specific way or alter its core persona. This is a more advanced form of prompt engineering.

Go beyond single-use skills by chaining them together. For instance, a daily 'morning brief' skill can be designed to automatically trigger a 'podcast guest research' skill whenever a podcast is detected on your calendar. This creates complex, multi-layered automations that run without manual intervention.

A key aspect of Claude's new feature is its ability to intelligently choose the right tool for the job. When a user makes a request, the AI automatically scans its library of uploaded skills and selects the most appropriate one without needing to be explicitly told, creating a seamless user experience.

Enhancing an AI's capabilities doesn't always require coding or API integrations. A 'skill' can simply be a highly detailed, well-structured prompt. For example, a 'front end design' skill works by providing the AI with a comprehensive set of design principles, guiding it away from generic outputs.

"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.

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.

Treat AI 'skills' as Standard Operating Procedures (SOPs) for your agent. By packaging a multi-step process, like creating a custom proposal, into a '.skill' file, you can simply invoke its name in the future. This lets the agent execute the entire workflow without needing repeated instructions.