semantic-paper-radar
Semantic literature discovery and synthesis using embeddings
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill semantic-paper-radar --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Semantic Paper Radar ## Overview Traditional literature search relies on keyword matching—you find papers that contain the exact terms you search for. Semantic paper discovery goes further by understanding the meaning of research content and finding papers that are conceptually related, even when they use different terminology. This is especially powerful for interdisciplinary research, where the same idea may be expressed in completely different vocabularies across fields. The Semantic Paper Radar skill provides methods for using embedding-based semantic search, vector databases, and AI-powered synthesis to build a comprehensive, continuously updated view of the literature relevant to your research. It enables you to discover papers you would never find through keyword search alone and to synthesize findings across large bodies of work. This skill covers setting up a personal semantic search index over your paper collection, querying public semantic search APIs, and using LLM-powered analysis to extract themes and connections from clusters of related papers. ## Semantic Search Fundamentals ### How Embedding-Based Search Works Semantic search represents both your query and each p
- Overview
- Semantic Search Fundamentals
- How Embedding-Based Search Works
- Using OpenAlex's Search API
- Building a Personal Semantic Index
- Discovery Workflows
- Concept Expansion Radar
- Cross-Disciplinary Bridge Detection
- Novelty Radar
- Semantic Synthesis
- Theme Extraction
- Evidence Mapping
- Gap Identification
- References
Search works via the OpenAlex API curl "https://api.openalex.org/works?search=attention+mechanisms+for+graph+neural+networks&per_page=20"
What does the semantic-paper-radar skill do?
Semantic literature discovery and synthesis using embeddings
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill semantic-paper-radar --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.