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
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cheminem/pharmaclaw-literature-agent打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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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