cxavireh/hotz-skills/read-paper

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Deep-dive a single paper — methodology, assumptions, implications. Triggers on "read this paper", "读论文", "explain this PDF", "arxiv.org/abs/", paper URLs, "what does this paper say", "paper deep-dive".

Install

npx vskill@latest install cxavireh/hotz-skills/read-paper

SKILL.md

Read Paper

Deep-dive a single paper with interactive Q&A. Outputs a structured analysis, then lets the user ask follow-up questions.

Instructions

When this skill is invoked with <input>:

Step 1: Parse input and fetch paper content

Determine input type and fetch accordingly:

Input typeDetectionAction
Local PDF<input> ends with .pdf and is a file pathUse Read tool. If PDF exceeds 20 pages, read pages 1-20 first, then ask user which sections to focus on.
arXiv PDF URL<input> matches arxiv.org/pdf/Convert to abstract URL (replace /pdf/ with /abs/, remove .pdf suffix), then fetch with Jina Reader: curl -s "https://r.jina.ai/{abstract_url}" -H "Accept: text/markdown"
arXiv URL<input> matches arxiv.org (non-PDF)Fetch with Jina Reader: curl -s "https://r.jina.ai/{url}" -H "Accept: text/markdown"
Other URL<input> starts with http:// or https://Try WebFetch first. If it fails or returns insufficient content, fall back to Jina Reader: curl -s "https://r.jina.ai/{url}" -H "Accept: text/markdown"
Pasted textNone of the aboveUse <input> directly as paper content

If fetching fails entirely, tell the user and suggest an alternative input method.

Step 2: Gather research context

Read the following files if they exist (skip silently if not found):

  • docs/papers/landscape.md — user's literature map
  • exp/summary.md — user's experiment history
Step 3: Delegate to @domain-expert

Invoke @domain-expert with this prompt:

Mode 4: Paper Deep-Dive
Paper content:
{fetched paper content}
Research context:
- Literature landscape: {landscape.md content or "not available"}
- Experiment history: {exp/summary.md content or "not available"}
Provide your structured deep-dive analysis (Methodology Skeleton, Assumptions & Limitations, Bridge Analysis), then enter interactive Q&A mode.

The user will then interact directly with domain-expert for follow-up questions. When the user says "save" / "archive" / "store" / "存档" / "保存" (with optional "as {name}"), domain-expert handles archival via its Mode 4 archive sub-flow.

Security

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Quality evaluation

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Source

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