figure-ref

Documents

Find and extract real figures from influential academic papers as editable references (PNG + SVG + PowerPoint). Use when the user wants to see how other papers draw architecture diagrams, evaluation plots, or any other figure type — NOT for generating new diagrams from scratch. Requires only search_influential_papers + extract_paper_figures; no Brave key, no Google key needed.

QUICK START

How to use this skill

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Source SKILL.md: https://github.com/ZhihaoAIRobotic/ClawPhD/blob/HEAD/clawphd/skills/figure-ref/SKILL.md

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Figure Reference Extraction

IMPORTANT — no extra API keys needed. This workflow uses search_influential_papers (Semantic Scholar REST API, free) and extract_paper_figures (local PDF processing). Do NOT use web_search and do NOT ask for BRAVE_API_KEY or GOOGLE_API_KEY — they are not required. classify_figures is optional and only runs if it appears in your tool list.

When to use

User mentions any of: 参考图, 架构图, 流程图参考, find paper figures, reference diagrams, architecture examples, "帮我找…论文的图", "I want to see how others draw …".

Tools

Tool	Notes
`search_influential_papers`	Always call this first. Uses Semantic Scholar API — no API key required.
`extract_paper_figures`	Downloads PDF, extracts all labelled figures as PNG + SVG.
`classify_figures`	Optional — skip if not in your tool list. Uses your existing LLM config, no new keys.
`export_figure_reference`	Builds a PPTX + returns SVG paths.

Workflow

Step 1 — Search (one call only)

Translate the topic to English. Call search_influential_papers exactly once:

search_influential_papers(topic="<English topic>", num_papers=<user-specified or 3>)

Do NOT call this multiple times. If it fails with 429/500, wait and retry once with the same query. Present titles + citation counts to the user and confirm before proceeding.

Step 2 — Extract figures

For each paper call extract_paper_figures with the pdf_url from Step 1 results:

extract_paper_figures(
    paper_id=<arxiv_id or title slug>,
    pdf_url=<url>,
    paper_title=<title>,
    paper_year=<year>,
    paper_citations=<citation_count>
)

Collect all figures arrays into one flat list.

Step 3 — Classify (skip if tool not available)

If classify_figures is in your tool list: classify_figures(figures=[...all figures...]) If it is NOT in your tool list: skip this step entirely — proceed to Step 4.

Step 4 — Export

Map user intent to figure_type_filter:

User intent	filter value
流程图 / 架构图 / pipeline / architecture / framework	`["architecture_flowchart"]`
实验图 / 对比图 / results / ablation / bar chart	`["evaluation_plot"]`
示意图 / 概念图 / motivation / teaser	`["conceptual_illustration"]`
Not specified	omit filter (export all)

export_figure_reference(
    figures=[...],
    figure_type_filter=[...],   # omit if user did not specify type
    output_format="both",
    slide_title="<English topic>"
)

Step 5 — Report (in user's language)

Tell the user:

How many figures were extracted per paper and how many were selected after filtering
Full path to the PPTX file (always under <workspace>/outputs/figure_refs/)
The per-paper PNG/SVG folders are at <workspace>/outputs/figure_refs/<paper_id>/
SVG files can be imported into PowerPoint 2016+ or Inkscape for true vector editing

Example

User: "帮我找3篇 GNN 论文的架构图参考"

Step 1: search_influential_papers(topic="graph neural network architecture", num_papers=3)
Step 2: extract_paper_figures(...) × 3 papers
Step 3: classify_figures(figures=[...]) if tool available, else skip
Step 4: export_figure_reference(figures=[...], figure_type_filter=["architecture_flowchart"], ...)
Step 5: 回复中文：已从3篇论文提取N张图，筛选出M张架构图，PPT保存在...