paideia

Plugin paideia from marketplace paideia-marketplace in OPTIMETA/PAIDEIA. Commands read from the repo's manifest — 1 month ago.

Skills (6)

• alt-import

  Parse an Exam Radar (OPTIMETA Alt plugin) export and fold its lecture-emphasis exam-probability signal into the PAIDEIA course index — write course-index/radar.md, annotate course-index/coverage.md with a lecture-emphasis column and divergence flags, and seed a gold-zone weakmap. Invoked by /paideia

• answer-processing

  Use whenever the user uploads a hand-written or scanned answer PDF to be graded against a reference solution. Converts answer PDFs in `answers/*.pdf` to markdown in `answers/converted/*.md` using the pdf skill (OCR as needed), then performs strategy-based grading against `converted/solutions/*.md` o

• course-builder

  Use whenever the user wants to ingest a new course's materials (lecture notes, textbook chapters, HW problems, HW solutions) and build the course-specific knowledge base — patterns.md (recurring solution techniques), coverage.md (HW-to-section map with 🔥 exam tiers + ⚠weak flags), and summary.md (t

• exam-drill

  Use when the user wants exam-focused drilling from the course's analyzed material. Generates twin variants of known problems (`/twin`), runs strategy-level blind drills on known problems (`/blind`), creates integration problems chaining multiple patterns (`/chain`), surfaces pattern cards (`/pattern

• pdf

  Use whenever the user works with PDF files — reading/extracting text from PDFs (lecture notes, textbook chapters, HW problems, HW solutions, hand-written answers), converting PDFs to markdown for downstream analysis, merging/splitting PDFs, or creating PDFs. For scanned or hand-written PDFs, OCR is

• vision-ocr

  Use whenever a hand-written or scanned answer PDF needs transcription to markdown for /grade. Three tiers — Claude native vision (default, no extra install), local Qwen3-VL 8B via ollama (opt-in privacy mode), pytesseract fallback. The engine is selected via `OCR_ENGINE` in `.course-meta` (written b

Slash commands (18)

• /paideia:alt

  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.

• /paideia:analyze

  Analyze converted course materials to produce the course knowledge base — patterns.md, coverage.md, summary.md.

• /paideia:blind

  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/.

• /paideia:chain

  Generate an exam-style integration problem chaining N patterns from different parts of the course. User solves on paper, uploads PDF, runs /grade.

• /paideia:cheatsheet

  Generate a one-page exam cheatsheet from course-index and errors/log.md. Outputs to cheatsheet/final.md. Optionally convert to PDF.

• /paideia:derive

  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.

• /paideia:doctor

  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.

• /paideia:grade

  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.

• /paideia:graph

  Extract prerequisite concept graph from converted course materials and write course-index/concept-graph.md.

• /paideia:hwmap

  Show HW/example coverage of course sections from course-index/coverage.md. HW density = exam probability; surface the exam-hot zones.

• /paideia:ingest

  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.

• /paideia:init-course

  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.

• /paideia:mock

  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.

• /paideia:pattern

  Show solution pattern cards from course-index/patterns.md, filtered by topic or keyword.

• /paideia:quiz

  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.

• /paideia:reindex

  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.

• /paideia:twin

  Generate a twin variant of a known HW/example problem. Same technique, new surface. User solves on paper, uploads PDF, runs /grade.

• /paideia:weakmap

  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.

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