About scholar-slides
scholar-slides turns a research paper or topic into academic slide decks for researchers who prioritize source fidelity, evidence, and editability. It keeps text, vector content, equations, and citations traceable, with human verification checkpoints before export.
Key features
- 01Turn paper content into a slide narrative
- 02Keep equations, tables, and citations as text or vectors
- 03Reuse source-attributed paper figures
- 04Flag missing or unverified content
- 05Export vector PDF and editable PPTX
Use cases
- 01Prepare a paper for a lab meeting or journal club
- 02Create traceable academic slides from source material
- 03Produce PDF and PPTX with speaker notes
MCP support
The citation workflow prioritizes Zotero MCP tools, with Crossref, arXiv, or DOI as fallbacks.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ luwill/ research-skills --skill scholar-slidesAfter installing, type/scholar-slidesin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
.gitignoreIMPLEMENTATION_PLAN.mdinstall.shLICENSEassets/templates/deck-stage/print.csstokens.cssviewport-base.cssassets/templates/themes/base-theme.cssconference.cssjournal-club.cssbenchmarks/manifest.jsonREADME.mdbenchmarks/eval/scorecard.mddocs/01-landscape-research.md02-academic-needs.md03-design-proposal.md04-panda-aesthetic-audit.mdREADME.mdlearnings/2026-07-09-figure-size-vertical-budget.md2026-07-14-porting-craft-rules-not-looks.md2026-08-09-zotero-paper-to-journal-club-deck.md2026-10-10-默认路径错一位门就静默不存在.mdREADME.mdout/adv/deck.jsonout/attention/deck.jsonfigures.jsonout/deepseek_conf/deck.jsonout/deepseek_v32/deck.jsonfigures.jsonout/emphasis_demo/deck.jsonDetails
From the project READMEscholar-slides
Turn a research paper (or topic) into a fidelity-first academic slide deck. Academia inverts the priorities of a normal deck tool: source fidelity > polish, evidence > persuasion, editability > flash. Equations, tables, numbers, figures, and citations stay true text/vector and traceable to the source — never rasterized by an image model, never fabricated.
Design rationale and the survey it is built on live in docs/; build plan in IMPLEMENTATION_PLAN.md.
Locked stack (see docs/03-design-proposal.md §0)
- Render backend: reveal.js + KaTeX → vector PDF (Playwright) + editable PPTX (parity-tested). Beamer later.
- Default deck type: lab meeting / journal club (组会) — reading-first, high density.
- Citations: Zotero-first (
mcp__zotero__*), Crossref/arXiv/DOI fallback. - Language: bilingual, English-default.
The non-negotiable integrity gate (ALWAYS on — see references/integrity.md)
Apply at every stage; enforced at Checkpoint 3:
- Never fabricate numbers, citations, or figures. Everything traces to the source digest.
- Math/tables/citations stay vector/text — never an image model's pixels.
- Reuse real figures (bbox-cropped +
Figure N [cite]); a conceptual schematic may be redrawn only if labeled "redrawn, not from source". - Flag, don't invent: an unresolved figure/number/citation emits a visible
[MISSING: …]/[UNVERIFIED: …]placeholder surfaced to the user — never a silent fill. - Provenance is mandatory: every reused asset carries its source; every claim is traceable.
Pipeline (7 stages, 3 human checkpoints)
INPUT → 1.INGEST/DIGEST → [CKPT-1] → 2.DECK-TYPE → 3.OUTLINE → [CKPT-2]
→ 4.PER-SLIDE SPEC → 5.RENDER → 6.SELF-REVIEW(QA) → [CKPT-3] → 7.EXPORT
- Ingest → typed digest —
references/ingestion.md. Runscripts/prepare_source.py <pdf|arXiv id|arXiv URL>to build the digest-input bundle (text, figure/table inventory with bboxes, cropped figures), then synthesize the typed paper digest from it (grounded in the bundle, never invented). → [CKPT-1] confirm the digest with the user (contributions, headline result, figure→slide map, any FLAGGED asset). - Deck-type & parameters —
references/deck-types.md. Pick deck type (default 组会), audience, time budget → slide budget, density register, required archetypes. - Narrative outline —
references/narrative.md. Re-sequence the paper into talk order; action-title per slide; arc-tension check. → [CKPT-2] approve the story arc. - Per-slide spec —
references/slide-spec.md. One self-contained, on-disk spec per slide (layout, content, equations, figures, citations, speaker notes). - Render —
references/math.md,references/figures-tables.md,references/citations.md,references/charts.md,references/design-system.md,references/export.md. reveal.js + KaTeX; real tables; real bbox-cropped figures (furniture-stripped; one panel per slide for multi-panel); data-bound redrawn charts; Zotero/BibTeX citations. Pick the visual theme viameta.theme(journal-clubdefault /conference). - Self-review QA —
references/qa-self-review.md+references/integrity.md, then the aesthetics loop inreferences/aesthetics-review.md. Integrity scan + static validator + render screenshots + narrative/timing checks; the render pass also measures geometry deterministically (canvas voids, figure-text projected below the 12px legibility floor). Then score the rendered pixels on the 6-dimension rubric (adversarial persona), write the scores to<deck>/aesthetics_report.json(schema in aesthetics-review.md), and rework any slide with a dimension ≤ 2 or total < 18 until the report'sreworklist is empty — the QA gate flags a missing report (P3) and an unspent rework list (P2). It also nudges on bullet-ratio and layout monotony. → [CKPT-3] truth sign-off: review every[MISSING]/[UNVERIFIED]and generated asset. - Export —
references/export.md. Vector PDF (projection) + speaker notes + editable PPTX; verify the PPTX preserves the spec natively withscripts/verify_pptx_parity.py(protects the minimal-manual-edits promise). Regress the whole corpus withnode scripts/run_benchmark.mjs.
Read only the reference file for the stage you are in (progressive disclosure — never glob
references/). Each stage reads the confirmed artifact of the prior stage — the digest
(Stage 1, user-confirmed at CKPT-1) and then deck.json — rather than re-deriving from the paper.
Scripts (scripts/)
Ingestion — pipeline stage 1 (Python, via ./.venv/bin/python; deps in requirements.txt):
prepare_source.py— Stage 1 entry point: PDF/arXiv → digest-input bundle.ingest_pdf.py— PyMuPDF text+layout extraction; arXiv-id detection.detect_figures.py— figure/table caption inventory + bounding-box localization.crop_figure.py— clean single-figure bbox crop (no neighbor columns).
Deck build & render — pipeline stage 5 (Node, via node; deps in package.json, npm install + npx playwright install chromium):
build_deck.mjs— render entry point:deck.json→ self-contained reveal.js deck.render_deck.mjs— deck → one-page-per-slide vector PDF (and per-slide PNGs for QA).lib/—layouts(registered-layout lock),math(KaTeX),table,figure,escape,qa.
Citations & QA — pipeline stages 5–6 (citations = Python; QA = Node):
fetch_bib.py— citation resolver (arXiv/DOI/Crossref) with order-sensitive title verification.qa_report.mjs— CKPT-3 gate: integrity scan +validate_deck.mjs+verify_slides.mjs+ timing.
Speaker notes (Node):
speaker_notes.mjs—deck.json→notes.mdhandout + bilingual talk-length estimate.lib/notes.mjs— timing + handout pure logic; design system inassets/templates/themes/.
Export & charts — pipeline stage 7 (export = Node; charts = Python):
export_pptx.mjs—deck.json→ editable PPTX (native text/tables/notes; figures+equations as images).make_chart.py— chart spec → data-bound Okabe–Ito plot (values plotted verbatim).
Tests: ./.venv/bin/python -m pytest (Python) and
node --test tests/*.test.mjs (Node — 逐个点名会静默漏跑新测试文件,用 glob).
Learnings: read before changing pipeline behavior
learnings/ holds post-incident notes with measured numbers (figure-size
vertical budget, craft rules vs looks). Scan it before changing rendering, sizing, or QA
behavior; append a dated note after any rework-worthy surprise.
Build status
The whole pipeline is implemented and validated on real papers. Not built: Beamer export,
OCR for scanned PDFs, draft-deck ingestion; conference/答辩 deck types are authoring guidance
in references/deck-types.md (no dedicated code). A deck is "done" only after the CKPT-3
human truth sign-off — the gate surfaces defects but cannot certify truth.