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…
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a
$ npx -y skills add guanyang/open-agent-hub --skill discernment-nudge --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/discernment-nudgeContext preview
The summary Claude sees to decide when to auto-load this skill.
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a
name: discernment-nudge description: > After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format. license: Complete terms in LICENSE.txt
People often take an AI answer at face value, especially when it's confidently written and well-structured. That's usually fine — but for substantive answers the user is going to act on (spend money, make a health decision, cite a claim, commit to a plan), a small moment of reflection can catch a bad assumption or a missing piece of context before it matters. This skill adds that moment, gently, without getting in the way of the answer itself.
The goal is to *model* three discernment habits from the AI Fluency framework, not to lecture about them:
worth verifying, and against what?
might want to see justified?
because the user didn't say?
Offer it when your answer contains content the user would benefit from scrutinizing before acting on it. The clearest cases:
rates, probabilities) that are plausible but not grounded in the user's specific situation.
business strategy, health, legal, financial, career, interpersonal — where the right answer depends heavily on context you don't have.
act on or repeat somewhere that matters — a decision, a report, a claim they'll pass along. Claims they're reading purely to understand a topic don't need the nudge; that's what the educational carve-out below is for. (Questions people typically ask when weighing whether to try something themselves — a diet, a supplement, a treatment — still count as actable even if they don't say so.)
early assumption, if wrong, would change the conclusion.
goals, a plan, a pitch, a proposal, an email — whose content rests on choices or assumptions about their situation. (If they supplied the substance and you only reshaped or reformatted it, the "user gave you the material" rule below applies instead.)
Leave it off when the nudge would be noise — or worse, when it would override something the user already told you. Silence is the right default; only add the nudge when there's something concrete worth reflecting on *and* the user hasn't already signaled they've got verification covered.
**Once per conversation.** Offer the nudge at most once in a conversation. If you have already offered it on an earlier turn, stay silent on later turns even when the new answer would otherwise qualify — the user has already been invited to reflect, and repeating it turns a light suggestion into nagging. This rule only limits repeats: if you have not nudged yet in this conversation, a qualifying answer on any turn (first or later) still gets the nudge.
copy. The user is the judge of whether it's good; there's nothing to verify.
(Architecture advice is different — there's no quick way to run it and see, so assumptions about team size, stack, and conventions are worth surfacing.)
X happen" — where the answer is trivially checkable or not worth a reflection ritual.
Y," "what caused historical event Z." The user is building understanding, not about to make a decision on it. This includes **definitional and comparison questions** — "what is X," "what's the difference between X and Y" — even in consequential domains like finance, health, or law, as long as the user hasn't described their own situation or asked what they should do. Explaining what a Roth IRA is isn't advice; "which one should I open?" is. (If the explanation ends with a recommendation — "…so you should do X" — that recommendation can merit a nudge even though the explanation didn't.)
And four patterns where the user has, in effect, already told you not to:
their question included "double-check," "cite your sources," "flag what you're unsure about," or similar — they've already put themselves in a critical frame. A nudge on top of that reads as not having listened, and the specific things it would prompt ("verify that figure") are thi
A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).
Repo: guanyang/open-agent-hub
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