nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Literature Agent v1.0.0
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install cheminem/pharmaclaw-literature-agentInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Dual-source literature search combining PubMed (biomedical focus) and Semantic Scholar (broader CS/ML/AI coverage). Deduplicates across sources, enriches with citation metrics and TLDR summaries.
Key capabilities:
# Search by topic
python scripts/pubmed_search.py --query "KRAS G12C inhibitor" --max-results 5
# Search Semantic Scholar (includes ML/AI papers)
python scripts/semantic_scholar.py --query "graph neural network drug discovery"
# Full chain: compound + disease context
python scripts/chain_entry.py --input-json '{"compound": "sotorasib", "disease": "lung cancer"}'
# Look up a specific paper and find who cited it
python scripts/semantic_scholar.py --paper-id "DOI:10.1038/s41586-021-03819-2" --citations
# Recent papers only (last 3 years)
python scripts/pubmed_search.py --query "organometallic catalyst drug synthesis" --years 3
scripts/pubmed_search.pyPubMed via NCBI E-utilities (public, no key required, rate limit: 3 req/sec).
--query <text> Required. Search query
--max-results <N> 1-50 (default: 10)
--sort <type> relevance | date (default: relevance)
--years <N> Limit to last N years
Returns: PMID, title, authors, journal, year, DOI, abstract, MeSH terms, keywords, publication types.
scripts/semantic_scholar.pySemantic Scholar API (public, no key required, rate limit: 100 req/5 min).
--query <text> Search query
--paper-id <id> Paper ID (DOI:xxx, PMID:xxx, ArXiv:xxx)
--related Get references of a pa...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Literature Agent v1.0.0
## Overview
Dual-source literature search combining PubMed (biomedical focus) and Semantic Scholar (broader CS/ML/AI coverage). Deduplicates across sources, enriches with citation metrics and TLDR summaries.
**Key capabilities:**
- PubMed search with MeSH terms, abstracts, publication types
- Semantic Scholar search with citation counts, influential citations, TLDR
- Paper lookup by DOI or PMID
- Citation tracking (who cited this paper?)
- Related paper discovery (what did this paper reference?)
- Automatic query construction from compound/target/disease inputs
- Cross-source deduplication and enrichment
## Quick Start
```bash
# Search by topic
python scripts/pubmed_search.py --query "KRAS G12C inhibitor" --max-results 5
# Search Semantic Scholar (includes ML/AI papers)
python scripts/semantic_scholar.py --query "graph neural network drug discovery"
# Full chain: compound + disease context
python scripts/chain_entry.py --input-json '{"compound": "sotorasib", "disease": "lung cancer"}'
# Look up a specific paper and find who cited it
python scripts/semantic_scholar.py --paper-id "DOI:10.1038/s41586-021-03819-2" --citations
# Recent papers only (last 3 years)
python scripts/pubmed_search.py --query "organometallic catalyst drug synthesis" --years 3
```
## Scripts
### `scripts/pubmed_search.py`
PubMed via NCBI E-utilities (public, no key required, rate limit: 3 req/sec).
```
--query <text> Required. Search query
--max-results <N> 1-50 (default: 10)
--sort <type> relevance | date (default: relevance)
--years <N> Limit to last N years
```
Returns: PMID, title, authors, journal, year, DOI, abstract, MeSH terms, keywords, publication types.
### `scripts/semantic_scholar.py`
Semantic Scholar API (public, no key required, rate limit: 100 req/5 min).
```
--query <text> Search query
--paper-id <id> Paper ID (DOI:xxx, PMID:xxx, ArXiv:xxx)
--related Get references of a pa...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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