<What it does, one line>. Trigger phrases: <phrases>.
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Reconstruct editable LaTeX from PDF content using page-aware extraction and visual comparison. Preserve source evidence, flag uncertain math/tables/citations, and distinguish text extraction, OCR, reconstruction, and verified compilation.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Inspect the PDF, requested pages, available tools, and desired output. Determine whether the user wants content recovery or close visual reconstruction. Preserve the original PDF and write new artifacts to a separate destination.
A PDF may expose text, font names, coordinates, images, and metadata. It does not reliably encode its original document class, packages, macros, bibliography database, comments, or source-file boundaries. Font/creator metadata is evidence for a candidate setup, not proof of the original engine or class.
When PyMuPDF is available, use the bundled helper from this skill's own directory. The following paths are relative to the repository root; for an installed skill, substitute its actual location. Dependency installation is separate from extraction.
python -m pip install -r pdf2tex/requirements.txt
python pdf2tex/scripts/extract_pdf.py paper.pdf --output extraction --pages 1-3,5 --images --render
The helper creates a new directory with report.html, text.txt, layout.json, and optional
embedded images and whole-page PNG previews when requested. It records page numbers, raw text spans/font/position data,
metadata, selected-page coverage, and warnings. It refuses existing output
directories and refuses publication if the input fingerprint changes during
extraction. Open report.html for offline page/text review; keep the entire
directory together when sharing. It performs no OCR or conversion.
Read PDF extraction guide for API details,
alternative readers, columns, fonts, and OCR. Sorted text is not guaranteed
reading order; inspect page layouts and use coordinates. Images can be repeated
or carry separate soft masks. Vector figures and composite panels often need
a page crop or another export workflow. Use optional --render previews to
inspect selected pages, including vector/composite figures; these are visual
evidence, not OCR or segmented assets. --dpi accepts 72–300 with a per-page pixel limit.
Use optional --chars when inspecting scripts or small notation. It adds
character origins/bounding boxes while retaining span text. Page geometry and
rotation matrices help relate unrotated text coordinates to rendered previews;
positions are evidence for candidate readings, not an automatic math parser.
A page without text may be blank, graphical, or scanned. Check it visually before choosing OCR. OCR requires separate tools and cannot establish the correctness of equations or tables. Retain page provenance and flag OCR-derived uncertainty. For a password-protected PDF, use an authorized readable copy.
Use structure detection to interpret blocks, math reconstruction for notation, and table reconstruction for cells and merged regions. These heuristics need comparison with the rendered original.
% [UNCERTAIN: ...] or a visible placeholder.
A comment alone must not hide missing content from the generated document.Use the selected engine and actual bibliography backend, with additional passes
for cross-references. latex-rescue can help when available. If tools or assets
are unavailable, preserve the source and report compilation as unverified.
Compare the rendered reconstruction with the selected original pages: completeness, reading order, math symbols, tables, figure appearances, captions, and citations. Matching page counts does not establish fidelity. Check merged cells and OCR math manually, and distinguish a visual approximation from content verification.
Deliver the new source/assets, input version and selected pages, extraction and
OCR methods actually used, inferred class/engine, build and visual-check results,
and uncertainty locations. Separate recovered content from placeholders. Do not
promise exact original source, perfect reconstruction, or immediate compilation.
Use latex-polish or latex-fmt only for a further requested editing task.
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<What it does, one line>. Trigger phrases: <phrases>.
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Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.
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Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.
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Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.
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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
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Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.
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