CtrlK
BlogDocsLog inGet started
Tessl Logo

paper-finder

Search existing paper notes by title, author, keyword, or research domain

58

Quality

67%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/paper-finder/SKILL.md
SKILL.md
Quality
Evals
Security

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 — an automated paper reading workflow. MIT License.

Repository
OpenLAIR/dr-claw
Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.