read-paper

name	read-paper
description	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".
disable-model-invocation	true

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 type	Detection	Action
Local PDF	<input> ends with .pdf and is a file path	Use 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 text	None of the above	Use <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.