Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning.
Skill Claude CodeCodex
Part of paideia
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:alt. The export…
Skill Claude CodeCodex
Part of paideia
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 or quizzes/answers.md.…
Skill Claude CodeCodex
Part of paideia
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 (topic tree). Invoked…
Skill Claude CodeCodex
Part of paideia
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), and shows…
Skill Claude CodeCodex
Part of paideia
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 required…
Skill Claude CodeCodex
Part of paideia
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 OCRENGINE in .course-meta (written by /paideia:init-course)…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: