← ClaudeAtlas

aris-research-litlisted

Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers. Ported from wanshuiyin/Auto-claude-code-research-in-sleep (ARIS) — methodology only, Claude-Code-specific MCP/CLI deps stripped for VS Code Copilot.
JZKK720/cubecloud-skilldbundle-setup · ★ 0 · AI & Automation · score 62
Install: claude install-skill JZKK720/cubecloud-skilldbundle-setup
# Research Literature Review The user will provide the research topic or paper URL as part of their request. ## Constants - **PAPER_LIBRARY** — Local directory containing user's paper collection (PDFs). Check these paths in order: 1. `papers/` in the current project directory 2. `literature/` in the current project directory 3. Custom path specified by user - **MAX_LOCAL_PAPERS = 20** — Maximum number of local PDFs to scan (read first 3 pages each). If more are found, prioritize by filename relevance to the topic. ## Workflow ### Step 0: Scan Local Paper Library Before searching online, check if the user already has relevant papers locally: 1. **Locate library**: Check PAPER_LIBRARY paths for PDF files - Search for `papers/**/*.pdf` and `literature/**/*.pdf` 2. **Filter by relevance**: Match filenames and first-page content against the research topic. Skip clearly unrelated papers. 3. **Summarize relevant papers**: For each relevant local PDF (up to MAX_LOCAL_PAPERS): - Read first 3 pages (title, abstract, intro) - Extract: title, authors, year, core contribution, relevance to topic - Flag papers that are directly related vs tangentially related 4. **Build local knowledge base**: Compile summaries into a "papers you already have" section. This becomes the starting point — external search fills the gaps. > If no local papers are found, skip to Step 1. If the user has a comprehensive local collection, the external search can be more targeted (focus