Agent skill

paper-discover

Use when searching for academic papers related to a topic, finding papers similar to one already in the vault, or discovering research gaps. Triggers on "find papers", "related papers", "paper search", "literature", "what papers should I read about X".

majiayu000534★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill paper-discover --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: BashReadWriteEditAgentTodoWriteGrepGlob
Path: skills/analysis/paper-discover/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<Purpose> Search academic databases (Semantic Scholar) for papers relevant to a topic or related to an existing vault note. Returns ranked results with relevance assessment against vault content. Optionally creates formatted paper notes in the vault's inbox for processing. </Purpose> <Use_When> - User asks to find papers on a topic ("find papers about scaling laws") - User wants papers related to an existing note ("what papers connect to this?") - User is /processing a paper and wants to find related work - User asks "what should I read about X?" - User provides a DOI or paper title and wants similar papers - User wants to fill gaps in a knowledge domain </Use_When> <Do_Not_Use_When> - User has a paper file to analyze (use /paper or /book-analyzer) - User wants to process an existing vault note (use /process) - User wants general web research, not academic papers (use /research) </Do_Not_Use_When> <Execution_Policy> - Search first, present results, then create notes only if user approves - Always check vault for existing paper notes before creating duplicates - Rank by vault relevance, not just citation count - Cap at 10 results per search — quality over quantity - Respect Semantic

What's inside
Steps it walks through
  1. Stage 1: PARSE QUERY AND CONTEXT
  2. Stage 2: SEARCH
  3. Stage 3: RANK AND PRESENT
  4. Stage 4: CREATE NOTES (on user approval)
Ships with 1 file
  • metadata.json
Commands it runs
Topic search
python3 "$SKILL_DIR/scripts/search_papers.py" "QUERY" --limit 20 --min-citations 5
With year filter
python3 "$SKILL_DIR/scripts/search_papers.py" "QUERY" --limit 20 --year-from 2020
Get recommendations from a paper
python3 "$SKILL_DIR/scripts/search_papers.py" "" --recommend-from "DOI:10.xxxx/xxxxx"
Look up specific paper
python3 "$SKILL_DIR/scripts/search_papers.py" "" --paper-id "DOI:10.xxxx/xxxxx"
More from claude-skill-registry
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About this skill
What does the paper-discover skill do?

Use when searching for academic papers related to a topic, finding papers similar to one already in the vault, or discovering research gaps. Triggers on "find papers", "related papers", "paper search", "literature", "what papers should I read about X".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill paper-discover --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going