skills/43-wentorai-research-plugins/skills/domains/cs/dblp-api/SKILL.md
Search computer science publications, authors, and venues via DBLP
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research dblp-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.
DBLP (Digital Bibliography and Library Project) is the most comprehensive open bibliographic database for computer science. Maintained by Schloss Dagstuhl - Leibniz Center for Informatics, DBLP indexes over 6.5 million publications from thousands of journals, conference proceedings, and informal publication venues in computer science and related fields.
DBLP is widely regarded as the authoritative source for computer science bibliographic data. It is used by researchers for tracking publication records, by hiring committees for evaluating academic productivity, and by bibliometric tools for analyzing the computer science research landscape. Each author in DBLP has a unique profile page with a complete, disambiguated publication list.
The API is entirely free and open, requiring no authentication. There are no published rate limits, though users are expected to be respectful and avoid excessive load on the servers. All data is available under the ODC-BY license.
No authentication required. The DBLP API is fully open and free to use. No API key, registration, or email is needed. Users should include a descriptive User-Agent header and avoid sending excessive concurrent requests.
GET https://dblp.org/search/publ/apicurl "https://dblp.org/search/publ/api?q=graph+neural+networks&format=json&h=10&f=0"
result.hits containing @total count and hit array. Each hit has info with title, authors.author, venue, year, type, doi, url, and ee (electronic edition link).GET https://dblp.org/search/author/apicurl "https://dblp.org/search/author/api?q=Yann+LeCun&format=json&h=5"
author name, url (DBLP profile URL), and optional notes with affiliation information.GET https://dblp.org/search/venue/apicurl "https://dblp.org/search/venue/api?q=NeurIPS&format=json&h=5"
GET https://dblp.org/pid/{pid}.jsoncurl "https://dblp.org/pid/h/GeoffreyEHinton.json"
No published rate limits. DBLP does not enforce strict API quotas. However, the service is provided by a non-profit institution with limited resources. Best practices include limiting requests to a reasonable rate (1-2 per second), using caching for repeated queries, and downloading the DBLP XML dump for large-scale analyses instead of querying the API repeatedly.
Get a complete, chronological list of publications for a researcher:
# Step 1: Find the author's DBLP PID
curl "https://dblp.org/search/author/api?q=Jure+Leskovec&format=json&h=1"
# Step 2: Fetch their full profile
curl "https://dblp.org/pid/l/JureLeskovec.json"
Search for publications at a specific venue in a given year:
curl "https://dblp.org/search/publ/api?q=venue:ICML+year:2024&format=json&h=50"
Use DBLP records to find DOIs and link to other metadata sources:
curl "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=1" | jq '.result.hits.hit[0].info.doi'
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.