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MichaelPrutkowMichaelPrutkow/anki-mcp-server/skills/exam-prep/SKILL.md

exam-prep

Skill3 starsChanged 19 days agoMITView on GitHub

Turns a whole course (lecture PDFs, exercise sheets, past exams, transcripts) into a prioritised Anki deck in stages - a blueprint the user approves, card writing, pictures and approval in the chat. Runs only when the user starts it with /anki:exam-prep; for cards from one source or a few topics, use create-cards.

9 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Intake: Ask once for whatever is missing: target deck, the sources, exam date, a rough card budget, language.

    line 15

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Exam preparation

This is the most expensive way to make cards, and it runs on the user's usage limits. Spend effort where the exam puts its points, and start agents only for courses too big to handle yourself.

Work in a run folder anki-run/<date>/ in the current project. Every step reads and writes files there; keep only short summaries in the conversation.

If overview and the other anki tools are not among your tools, call get_device_info (search for it if it is not loaded) and search for the anki tools again. In the Claude app, a chat reaches the tools on the user's computer reliably only if the user added a folder to it before sending the first message. If the tools are still missing, ask the user to start a new chat, add a folder with the Add folder button (for example the folder with their study material) and send the request again. Only if that does not help either, follow the check-setup skill.

  1. Intake. Ask once for whatever is missing: target deck, the sources, exam date, a rough card budget, language.
  2. Plan the cost. Count the sources and their pages, then pick a mode:

    • Small course (up to about 5 sources or 150 pages): no agents. Do every step yourself, one source or one topic at a time.
    • Large course: agents, never more than these: 3 anki:source-analyst, 3 anki:card-writer, 1 anki:visual-designer, 1 anki:card-auditor.

    Tell the user in one sentence which mode you chose and how many agents it starts, and go on only once they agree. If they want it cheaper, cut the sources down to the past exams and the lectures those exams cover.

  3. Sources. Read the past exams first: they set the priorities. Write one inventory per source, inventory/<source-name>.md, in the format of ${CLAUDE_PLUGIN_ROOT}/agents/source-analyst.md. In a large course, split the sources into at most three groups of similar size and start one anki:source-analyst per group, never one per source.
  4. Blueprint. Merge the inventories into blueprint.md, one row per topic: topic | priority (from past exams) | card types | picture needed | est. cards | already in deck. Mark picture needed for every topic the exams or lectures show as a drawing. Check existing cards with search_notes. Show the blueprint as a short table and wait for the user's approval: this is the cheapest moment to change direction.
  5. Cards. Follow the create-cards rules, one draft per topic cluster, titled with its topics. In a large course, give the clusters to at most three anki:card-writer agents, each with the deck, the note type, its blueprint rows and the inventory files; each reports its draft ids. Picture needs go into visual-requests.md: <draft id> #<card number> | what to draw | source page or figure id.
  6. Pictures. Make every picture in visual-requests.md and for every picture needed row, following the visuals skill: yourself, or in a large course with one anki:visual-designer.
  7. Audit. In a large course, start one anki:card-auditor with the draft ids; it writes audit.md. Otherwise go through the create-cards checklist yourself. Fix the real problems with draft_edit and ignore false alarms.
  8. Approval. Go through the drafts with the user one at a time: show the cards with draft_show, word for word, apply changes with draft_edit, and add the approved cards with draft_commit. If the user studies on a phone, finish with sync.

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