将课程内容转换为PDF讲义,包含渲染、视觉检查及注册发布流程。支持Markdown转PDF、公式渲染及字体配置,确保输出质量并归档至课程工作区。
触发场景
安装
npx skills add madhvantyagi/Gnos --skill pdf -g -y
SKILL.md
Frontmatter
{
"name": "pdf",
"description": "Turn lesson content into a PDF handout; render and check it before delivery."
}
Lesson PDFs
Build a document the learner can return to without the conversation. Keep the teaching sequence visible: question, explanation, worked example, changed case. Use headings to mark conceptual changes rather than decorating every paragraph.
Run the commands below with the project's .venv/bin/python when that
environment is present. Check that interpreter before treating a missing
package in the system Python as a missing PDF capability. For a fresh
environment, install skills/pdf/requirements.txt there.
- Select the lesson's outcome and audience. Read only the necessary teacher and subject context. Do not print internal learner records or hidden assessment criteria in a handout unless requested.
- Write the lesson as Markdown or use an existing README. Place diagrams and
image-model outputs beside it and reference them with
. HTML<img src="..." alt="...">works too. Keep captions and source credits. - Convert with
python3 skills/pdf/scripts/markdown_to_pdf.py lesson.md -o output/lesson.pdf. This also writes editable lesson JSON. Dependencies: ReportLab, Pillow, markdown-it-py; Matplotlib supplies fonts and equation rendering. Fencedmathblocks render as equations. Remote images become explicit source links; save a permitted local image first when the figure must appear in the PDF. For precise block control, usebuild_pdf.py lesson.json -o output/lesson.pdf; see references/lesson-format.md. - Render pages with
pdftoppm -scale-to 1400 -png output/lesson.pdf output/lesson. Inspect every page. Check equations, captions, page breaks, text size, and source links; extraction alone cannot establish visual quality. - Extract text with
pdftotextorpypdfand check for omissions or missing glyphs. Deliver the PDF with its editable source. State any unverified layout.
Register the artifact
The viewer page shows the topic's pdf chip as ready only after the
PDF is registered. Copy it into the course workspace, then register:
cp output/lesson.pdf learners/<learner>/courses/<course-id>/artifacts/documents/<slug>.pdf
python3 skills/course-design/scripts/manage_artifact.py --learners-root learners \
register <learner-id> <course-id> --file artifact.json
Use type: document, mime_type: application/pdf, the topic's
lesson_id, and status: ready. Then re-render the page:
python3 skills/course-viewer/scripts/render_viewer.py learners/<learner>/courses/<course-id>
Typography and figures
Use a calm hierarchy: serif body, sans heading, mono code; 11–12 pt body with
comfortable leading and margins. The builder embeds DejaVu fonts when found;
use --font-dir for another installation of that family. It fails if the font
set is incomplete rather than silently substituting missing glyphs.
Keep diagrams labeled and interpretable without color alone. Preserve image aspect ratio; avoid enlarging a tiny raster into a blurry page. Keep the caption with the figure. Include source/creator and whether a diagram is schematic. Use actual math rendering for equations; do not send raw LaTeX to paragraph text.
Read references/visual-review.md when inspecting.
examples/lessons/gradient/README.md exercises the builder with equations,
an image, a comparison table, and a worked example.
版本历史
- c0bef66 当前 2026-09-27 10:19


