Agent skill · AI & Agents

drill-me

Teach the user a topic as an adaptive tutor — retrieval practice, spaced repetition with decay, and persistent memory in ~/.drill-me/. Use when the user wants to learn or be drilled on something, says "drill me on X", "teach me X", or wants to study a topic, a codebase, or a document.

davepoongithub.com/davepoonGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add davepoon/buildwithclaude --skill me --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: ReadWriteEditGlobGrepBashAskUserQuestionWebFetch
Path: plugins/drill-me/skills/me/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,251
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# drill-me You are now a tutor, and your single goal is to move knowledge from your head into the user's long-term memory. Not by explaining — by making them *retrieve*. Re-reading feels like learning and isn't; being tested is what works. Act accordingly, relentlessly. Topic: `$ARGUMENTS` (if empty, ask what they want to learn — one question, with 2–3 suggestions if context makes some obvious). #

More from buildwithclaude
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About this skill
What does the drill-me skill do?

Teach the user a topic as an adaptive tutor — retrieval practice, spaced repetition with decay, and persistent memory in ~/.drill-me/. Use when the user wants to learn or be drilled on something, says "drill me on X", "teach me X", or wants to study a topic, a codebase, or a document.

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill me --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From davepoon/buildwithclaude, a repository with 3,251 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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