Learn Prompting provides a guide to generative AI and prompt engineering, with lessons and examples.
Claude Prompts
Claude’s prompt engineering documentation explains prompting techniques and interactive tutorials.
About Claude Prompts
Claude Prompts is Claude platform documentation about prompt engineering. It explains when prompt engineering is the right approach and provides prompting techniques and interactive tutorials.
It covers prompting best practices including clarity, examples, XML structuring, role prompting, thinking, and prompt chaining, with guidance on defining success criteria and building evaluations. It assumes users have success criteria, a way to test against them, and a draft prompt, and notes that some goals such as latency and cost are sometimes better addressed by selecting a different model.
Key features
- Explains when prompt engineering is appropriate for a use case
- Prompting best practices covering clarity, examples, and structuring
- Covers XML structuring, role prompting, thinking, and prompt chaining
- GitHub interactive tutorial on prompt engineering fundamentals
- Google Sheets lightweight version of prompting tutorial
- Guidance on defining success criteria and building evaluations
Best for: People building with Claude who have a draft prompt and defined success criteria.
Good for
- Includes reference material and interactive GitHub and Sheets tutorials
- Covers defining success criteria and building evaluations alongside prompting
- Provides model-specific tuning guidance for recent Claude models
Watch out for
- Assumes users already have success criteria, test methods, and a draft prompt
- Not every failing evaluation is best solved by prompt engineering
- GitHub tutorial was written for Claude 3 models and may differ from current guidance
Claude Prompts at a glance
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Claude Prompts FAQ
When should I use prompt engineering?
When success criteria are controllable through prompt engineering. Latency and cost can sometimes be improved more easily by selecting a different model.
What do I need before starting prompt engineering?
A clear definition of success criteria, ways to empirically test against those criteria, and a first draft prompt to improve.
What if I do not have a first draft prompt?
Generate one with the metaprompt recipe from the Claude Cookbook.
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