skills/43-wentorai-research-plugins/skills/literature/metadata/crossref-api/SKILL.md
Resolve DOIs and retrieve publication metadata from CrossRef registry
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research crossref-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
CrossRef is the official DOI registration agency for scholarly publishing, maintaining metadata for over 150 million content items including journal articles, books, conference proceedings, preprints, and datasets. The CrossRef REST API provides free, open access to this metadata, making it the authoritative source for resolving Digital Object Identifiers (DOIs) and retrieving standardized publication records.
Publishers deposit metadata with CrossRef when they register DOIs for their content. This makes the CrossRef API a reliable source for bibliographic information, citation counts, licensing data, funder acknowledgments, and links to full-text resources. The API is used extensively in reference management, citation analysis, and research information systems.
The API is free and requires no authentication. Users who include a mailto parameter in their requests are placed in the "polite pool" which provides faster and more reliable service.
No authentication required. For best performance, include your email to access the polite pool:
https://api.crossref.org/[email protected]
Users in the polite pool receive prioritized responses and are not subject to the same rate limiting as anonymous users. CrossRef Plus subscribers get additional benefits including guaranteed uptime and higher throughput.
GET https://api.crossref.org/workscurl "https://api.crossref.org/works?query.title=attention+is+all+you+need&rows=5&[email protected]"
message.items array containing DOI, title, author, published, is-referenced-by-count, reference, license, and link fields.GET https://api.crossref.org/works/{doi}curl "https://api.crossref.org/works/10.1038/[email protected]"
GET https://api.crossref.org/memberscurl "https://api.crossref.org/members?query=springer&rows=5&[email protected]"
GET https://api.crossref.org/journalscurl "https://api.crossref.org/journals?query=nature+machine+intelligence&rows=5&[email protected]"
Anonymous users: no hard limit but throttled under load. Polite pool users (with mailto): prioritized access with no published rate cap. CrossRef Plus subscribers: guaranteed uptime with SLA. The API returns HTTP 429 when overloaded. Use exponential backoff and always include mailto for production applications. For bulk metadata retrieval, CrossRef provides database snapshots and the Public Data File.
Resolve a list of DOIs to get standardized metadata:
# Single DOI resolution with full metadata
curl "https://api.crossref.org/works/10.1145/[email protected]"
Filter by publication date and sort by citation count:
curl "https://api.crossref.org/works?filter=from-pub-date:2023,type:journal-article&query=machine+learning&sort=is-referenced-by-count&order=desc&rows=20&[email protected]"
Monitor citation counts for a specific DOI over time:
curl "https://api.crossref.org/works/10.1038/[email protected]" | jq '.message["is-referenced-by-count"]'
development
Conduct rigorous thematic analysis (TA) of qualitative data following Braun and Clarke's (2006) six-phase framework. Use whenever the user mentions 'thematic analysis', 'TA', 'Braun and Clarke', 'qualitative coding', 'identifying themes', or asks for help analysing interviews, focus groups, open-ended survey responses, or transcripts to identify patterns. Also trigger for questions about inductive vs theoretical coding, semantic vs latent themes, essentialist vs constructionist epistemology, building a thematic map, or writing up a qualitative findings section. Covers all six phases, the four upfront analytic decisions, the 15-point quality checklist, and the five common pitfalls. Produces a Word document write-up and an annotated thematic map. Does NOT cover IPA, grounded theory, discourse analysis, conversation analysis, or narrative analysis — use a different method for those.
development
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
testing
Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
data-ai
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.