Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning.
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Import an Exam Radar (OPTIMETA Alt plugin) export and fold its lecture-emphasis exam signal into the course index — radar.md, a lecture-emphasis column on coverage.md, and a gold-zone weakmap.
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Analyze converted course materials to produce the course knowledge base — patterns.md, coverage.md, summary.md.
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Strategy-level blind drill on a known HW or example problem. User describes approach in prose (no math typing); Claude verifies against solution then saves clean reference to derivations/.
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Generate an exam-style integration problem chaining N patterns from different parts of the course. User solves on paper, uploads PDF, runs /grade.
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Generate a one-page exam cheatsheet from course-index and errors/log.md. Outputs to cheatsheet/final.md. Optionally convert to PDF.
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Save a clean reference derivation of a target equation or theorem to derivations/. Draws from course materials (textbook, lecture notes) rather than testing the user.
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Diagnose the paideia install + course workspace (Python, poppler, tesseract, Ollama/Qwen3-VL, course folders, .course-meta, writable paths, statusline wiring) and optionally auto-repair the permission-free issues. Run when a command won't work or right after cloning.
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Grade user's answer PDF (hand-written, scanned) against reference solution. OCR engine is selectable: claude (default, no extra install), ollama (Qwen3-VL local), or tesseract. Then strategy-based grade.
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Extract prerequisite concept graph from converted course materials and write course-index/concept-graph.md.
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Show HW/example coverage of course sections from course-index/coverage.md. HW density = exam probability; surface the exam-hot zones.
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Convert all course-material PDFs (lectures, textbook, homework, solutions) to markdown via the vision pipeline — one parallel agent per file, LaTeX-faithful transcription. Idempotent — skips already-converted files.
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Bootstrap a fresh course folder — create directory skeleton, check deps (Python, tesseract; optionally ollama), prompt for interface language (en/ko) + course metadata + OCR engine, and write CLAUDE.md + .course-meta. Run once per course in the course folder's CWD.
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Generate a mock exam matched to the course's structure (inferred from course-index). Saves problem MD + hidden solution MD. User solves on paper, uploads PDF, runs /grade.
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Show solution pattern cards from course-index/patterns.md, filtered by topic or keyword.
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Generate N practice problems on a topic. Saves problem MD + hidden answer MD. User solves on paper, uploads answer PDF, then runs /grade. First arg weakmap → auto-load latest weakmap report and target its top weaknesses.
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Idempotent reindex of an existing course — rewrite retired coverage.md tier markers to canonical vocabulary and materialize errors/log.md nature/phase into the on-disk schema (header keys == data keys), in place and atomically, WITHOUT running analyze.
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Generate a twin variant of a known HW/example problem. Same technique, new surface. User solves on paper, uploads PDF, runs /grade.
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Priority-ranked weakness report. No arg → fresh report from latest errors per pattern. With concept arg → patch latest report by adding the user-declared weakness, save as new timestamped file.