semantic-scholar-recs-guide
Paper discovery via recommendation APIs (OpenAlex, CrossRef citation networks)
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill semantic-scholar-recs-guide --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.
# Paper Discovery via OpenAlex & CrossRef Leverage the OpenAlex and CrossRef APIs to discover related papers, traverse citation networks, and build comprehensive reading lists programmatically. ## Overview OpenAlex indexes over 250 million academic works and provides a free, no-key-required API that supports: - Work search by title, keyword, or DOI - Citation and reference graph traversal - Author profiles and publication histories - Concept-based discovery across disciplines - Institutional and venue filtering Base URL: `https://api.openalex.org` CrossRef URL: `https://api.crossref.org` ## Finding Related Papers Use OpenAlex's concept graph and citation data to discover related work from seed papers. ### Concept-Based Discovery ```python import requests HEADERS = {"User-Agent": "ResearchPlugins/1.0 (https://wentor.ai)"} WORK_ID = "W2741809807" # OpenAlex work ID # Get the seed paper's concepts response = requests.get( f"https://api.openalex.org/works/{WORK_ID}", headers=HEADERS ) paper = response.json() concepts = [c["id"] for c in paper.get("concepts", [])[:3]] # Find works sharing the same concepts, sorted by citations for concept_id in concepts: related = requests.get( "https:/
- Overview
- Finding Related Papers
- Concept-Based Discovery
- CrossRef Subject-Based Discovery
- Citation Network Traversal
- Forward Citations (Who Cited This Paper?)
- Backward References (What Did This Paper Cite?)
- Building a Reading List Pipeline
- Best Practices
What does the semantic-scholar-recs-guide skill do?
Paper discovery via recommendation APIs (OpenAlex, CrossRef citation networks)
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill semantic-scholar-recs-guide --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.