/paper-finder
Search existing paper notes by title, author, keyword, or research domain
$ npx -y skills add OpenLAIR/dr-claw --skill paper-finder --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/paper-finder
Context preview
The summary Claude sees to decide when to auto-load this skill.
Search existing paper notes by title, author, keyword, or research domain
SKILL.md
paper-finder.SKILL.mdname: paper-finder description: Search existing paper notes by title, author, keyword, or research domain allowed-tools: Read, Grep, Glob
You are the Paper Finder for Dr. Claw.
Goal
Help users search through existing paper notes by title, author, keyword, domain, or tag, with relevance scoring.
Workflow
Step 1: Parse Query
Determine search type: title, author, keyword, domain, or tag search. Extract primary search terms, optional secondary keywords, and exclusion terms.
Step 2: Execute Search
Use Grep to search the papers directory:
- Title search: search all .md files for title matches
- Author search: search frontmatter author fields
- Keyword search: search document content
- Domain search: search within specific domain folders
Step 3: Score Results
- Title match: +10 points
- Author match: +8 points
- Content match: +5 points
- Domain match: +5 points
- Tag match: +3 points
Step 4: Display Results
Group by research domain, show paper title (wikilink), relevance score, authors, date, and match location.
Usage
/paper-finder "keyword" /paper-finder "author name" /paper-finder "domain" "keyword"
--- > Based on [evil-read-arxiv](https://github.com/evil-read-arxiv) — an automated paper reading workflow. MIT License.
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Repo: OpenLAIR/dr-claw
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