Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.
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Search topic or paper ID: $ARGUMENTS
This skill is the published venue counterpart to /arxiv:
| Skill | Source | Best for |
|---|---|---|
/arxiv | arXiv API | Latest preprints, cutting-edge unrefereed work |
/semantic-scholar | Semantic Scholar API | Published journal/conference papers (IEEE, ACM, Springer, etc.) with citation counts, venue info, TLDR |
Do NOT duplicate arXiv's job. If results contain an externalIds.ArXiv field, the paper is also on arXiv — note this but do not re-fetch from arXiv.
tools/semantic_scholar_fetch.py relative to the project root. Fall back to inline Python if not found.--fields-of-study "Computer Science,Engineering"--publication-types JournalArticle,ConferenceOverrides (append to arguments):
/semantic-scholar "topic" - max: 20— return up to 20 results/semantic-scholar "topic" - type: journal— only journal articles/semantic-scholar "topic" - type: conference— only conference papers/semantic-scholar "topic" - min-citations: 50— only highly-cited papers/semantic-scholar "topic" - year: 2022-— papers from 2022 onward/semantic-scholar "topic" - fields: all— remove default field-of-study filter/semantic-scholar "topic" - sort: citations— bulk search sorted by citation count/semantic-scholar "DOI:10.1109/..."— fetch a single paper by DOI
Parse $ARGUMENTS for directives:
10.1109/TWC.2024.1234567f9314fd99be5f2b1b3efcfab87197d578160d553ARXIV:2006.10685CorpusId:219792180- max: N: override MAX_RESULTS- type: journal|conference|review|all: map to --publication-types- min-citations: N: map to --min-citations- year: RANGE: map to --year (e.g. 2022-, 2020-2024)- fields: FIELDS: override --fields-of-study (use all to remove filter)- sort: citations|date: use search-bulk with --sort citationCount:desc or publicationDate:descIf the argument matches a DOI pattern (10.XXXX/...), a Semantic Scholar ID (40-char hex), or a prefixed ID (ARXIV:..., CorpusId:...), skip search and go directly to Step 3.
Locate the fetch script:
SCRIPT=$(find tools/ -name "semantic_scholar_fetch.py" 2>/dev/null | head -1)
[ -z "$SCRIPT" ] && SCRIPT=$(find ~/.claude/skills/semantic-scholar/ -name "semantic_scholar_fetch.py" 2>/dev/null | head -1)Standard search (default — relevance-ranked):
python3 "$SCRIPT" search "QUERY" --max MAX_RESULTS \
--fields-of-study "Computer Science,Engineering" \
--publication-types JournalArticle,ConferenceBulk search (when - sort: is specified, or MAX_RESULTS > 100):
python3 "$SCRIPT" search-bulk "QUERY" --max MAX_RESULTS \
--sort citationCount:desc \
--fields-of-study "Computer Science" \
--year "2020-"If semantic_scholar_fetch.py is not found, fall back to inline Python using urllib against https://api.semanticscholar.org/graph/v1/paper/search.
Recommended filter combos (from testing):
| Goal | Flags |
|---|---|
| High-quality journal papers | --publication-types JournalArticle --min-citations 10 |
| CS/EE papers, recent | --fields-of-study "Computer Science,Engineering" --year "2022-" |
| Foundational / high-impact | search-bulk --sort citationCount:desc --fields-of-study "Computer Science" |
| Conference papers only | --publication-types Conference |
Note:
--venuerequires exact venue names (e.g. "IEEE Transactions on Signal Processing"), not partial matches like "IEEE". Avoid using--venuein automated flows — prefer--publication-types+--fields-of-study.
When a single paper ID is requested:
python3 "$SCRIPT" paper "PAPER_ID"Where PAPER_ID can be:
10.1109/TSP.2021.3071210ARXIV:2006.10685CorpusId:219792180f9314fd99be5f2b1b3efcfab87197d578160d553For each result, check externalIds.ArXiv:
/arxiv.Present results as a table:
| # | Title | Venue | Year | Citations | Authors | Type |
|---|-------|-------|------|-----------|---------|------|
| 1 | Deep Learning Enabled... | IEEE Trans. Signal Process. | 2021 | 1364 | Xie et al. | Journal |For each paper, also show:
https://doi.org/DOI (for IEEE/ACM papers, this is the canonical link)openAccessPdf.url is non-empty, show itexternalIds.ArXiv exists, note the arXiv IDFor each paper (or top 5 if many results):
## [Title]
- **Venue**: [venue name] ([publicationVenue.type]: journal/conference)
- **Year**: [year] | **Citations**: [citationCount]
- **Authors**: [full author list]
- **DOI**: [doi link]
- **Fields**: [fieldsOfStudy]
- **TLDR**: [tldr.text if available]
- **Abstract**: [abstract]
- **Open Access**: [openAccessPdf.url or "Not available"]
- **Also on arXiv**: [ArXiv ID if exists, else "No"]Summarize what was done:
Found N published papers for "query"Filters applied: [publication types, fields, year range, etc.]N papers are venue-only (not on arXiv)Suggest follow-up skills:
/arxiv "topic" - search arXiv preprints (complements this search)
/research-lit "topic" - multi-source review: Zotero + local PDFs + arXiv + S2
/novelty-check "idea" - verify novelty against literature--fields-of-study and --publication-types unless user says - fields: all. Without filters, S2 returns cross-discipline noise (linguistics, psychology, etc.).citationCount prominently and use it to rank/prioritize results.venue and publicationVenue.type (journal vs conference) — this helps users assess paper quality.SEMANTIC_SCHOLAR_API_KEY env var for higher limits (free at https://www.semanticscholar.org/product/api#api-key-form)./arxiv or /research-lit "topic" - sources: web as fallback.dc00dfb
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