#for beginners

Beginner tutorial: you can write a Skill without coding. Step 1 is finding your repetitive work, step 2 is running it through manually first, step 3 is explaining the requirements to AI so it writes them into SKILL.md, step 4 is running and refining it, and step 5 is sharing it with others to use.

Feedback from learner Feiwen: before, every problem meant searching everywhere, costing hours in total; now, opening an LLM clears up doubts in three minutes, and learning is much faster. We break down why it's faster, and how to use it to be both fast and accurate: give full context, ask one thing at a time, ask about the principle behind it, and verify the key points.

A practical lesson: models confidently present wrong things as right. Here is a prompt you can paste directly, which forces it to weigh evidence for and against based on authoritative literature, news and public discussion, give sources, separate facts from speculation, and state what information is still missing. Usage note: many models do not actually browse the web, so check the sources yourself.

Beginner tutorial: why AI-written text often has a distinctive tone, and how to remove it. The core principle comes from Anthropic's internal guide on removing AI flavor: if you can say it directly, say it directly. At the end is a prompt that works in both Chinese and English and suits any text model; paste it as is.

One message at 8:00 with at most five action items, each with a deadline if one was mentioned, and a one-line "everything else" summary.

A short, repeatable way to write instructions a model follows reliably: role, input, output, rules, example. With a template you can paste.

Build a workflow that reads one calendar, summarizes next week, and delivers it to you every Friday. No code, one connection, under an hour.

A plain-language definition you can use in a meeting, the three parts every Agent has, and how to tell a real one from a chatbot with a nicer name.