Core techniques
These are the moves that reliably lift output quality. Learn them once, use them forever.
1. Assign a role
Telling Claude who to be shapes vocabulary, depth, and priorities.
You are a skeptical security reviewer. Find what could go wrong.2. Give examples (few-shot)
The fastest way to control format and style is to show an example or two. Claude is excellent at pattern-matching.
Rewrite product names into punchy taglines.
Example:
Input: "Noise-cancelling headphones"
Output: "Silence, on demand."
Now do these:
Input: "Standing desk"
Input: "Reusable water bottle"3. Ask for step-by-step reasoning
For analysis and decisions, invite Claude to think before concluding.
Before recommending, list the trade-offs of each option,
then choose. Show your reasoning.This reduces shallow or wrong answers on hard problems. (See Thinking & effort.)
4. Use structure and delimiters
Headings, numbered lists, and tags make complex prompts unambiguous:
<rules>
- British English
- Max 120 words
</rules>
<task>
Write the welcome message.
</task>5. Prefill the format you want
Specify the exact output shape, or even start it for Claude:
Return ONLY valid JSON in this shape:
{ "summary": string, "risks": string[], "next_step": string }6. Let Claude ask you questions
A powerful, underused move:
Before you start, ask me up to 3 clarifying questions.This surfaces hidden assumptions and produces a far better first draft.
7. Set a "definition of done"
Tell Claude what success looks like so it can self-check:
The result is good if a new hire could follow it without asking
any questions. Revise until it meets that bar.8. Decompose big tasks
Break a large request into stages and run them in sequence:
Step 1: Outline the report (headings only). Wait for my OK.Then approve, and continue. This keeps quality high on complex work.
Combine them
Real prompts stack these. A strong analysis prompt might use role + context + step-by-step + format + definition of done all at once. Mix to taste.
Try it
Pick one technique you don't currently use; most people skip examples and clarifying questions, and apply it to your next three prompts.
Next: how to iterate and refine when the first answer isn't right.