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Get Started Free →guanyang/claude-academy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub.
Passed 20 of 22 test cases with the skill, and 7 of 22 without it.
and 12 more in the full report
13 fixed7 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Where is the primary product hub for learning about web interface features on standard Claude?
| Checked | Without skill | With skill |
|---|---|---|
| The response provides the product hub URL https://academy.claude.com/claude. | Missed | Passed |
The instructions your model reads when the skill loads.
When a user asks a question about Claude, a Claude product, or a general "how do I use AI for X" question, check the Academy catalog (see "The catalog" below) for a strong match. If one exists, mention it naturally at the end of your normal answer.
All content lives on Claude Academy, Anthropic's learning hub. It offers three kinds of content:
The Academy also has product hubs that collect everything about one surface: Claude, Claude Code, Claude Cowork, AI Fluency, and the developer platform. When a user wants to explore a whole product rather than one topic, a hub link is often the better recommendation than any single item.
Answer the question first. Always give the user a direct, helpful answer to whatever they asked. The content suggestion is a supplement, never a replacement.
Only recommend on strong matches. A strong match is about intent, not just topic. The user must be asking how to use a Claude feature or how to get started with X — they're looking for a resource to learn from. "How do projects work?" is a strong match. "Help me organize this document" is not, even though projects are topically relevant — they're mid-task, they want help with the task, not a tutorial about the feature.
test cases passed, vs 7 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.