據 AlphaMoat 統計,截至 2026-09,cluade-scientific-writer-wrapper 累計下載 2,547 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 4,058 位,在「專業領域」分類(465 個)中排名第 341 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 41 | 1455 | - | - |
| SkillHub ↗ | 387 | 2547 | 1 | — |
各平台的計數口徑不同,統計時間不一致。
可按提供的資料檔案生成論文、申請書、海報或綜述,並流式返回進度。需要 scientific-writer 包與 Anthropic API 金鑰;文獻查詢可選用 OpenRouter 金鑰。生成正文與引用仍需稽核。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2547 | — | 1 |
| 2026-08 | 2101 | +15.2% | 1 |
| 2026-07 | 1824 | +18.7% | 1 |
| 2026-06 | 1537 | +9.8% | 1 |
| 2026-05 | 1400 | — | 1 |
| 2026-03 | 831 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: scientific-writer
description: AI-powered scientific writing tool. Generate publication-ready papers, grant proposals, posters, and more with real-time research and verified citations.
metadata:
{
"openclaw": {
"emoji": "🔬",
"requires": {
"bins": ["python3", "pip"],
"env": ["ANTHROPIC_API_KEY"] }
}
}
---
# Scientific Writer
AI-powered scientific writing tool that combines deep research with well-formatted outputs.
## Installation
```bash
pip install scientific-writer
```
## Prerequisites
- Python 3.10-3.12
- ANTHROPIC_API_KEY (required)
- OPENROUTER_API_KEY (optional for research lookup)
Set API keys:
```bash
export ANTHROPIC_API_KEY='your_key'
# or create .env file
echo "ANTHROPIC_API_KEY=your_key" > .env
```
## Usage
### As Python API
```python
import asyncio
from scientific_writer import generate_paper
async def main():
async for update in generate_paper(
query="Create a Nature paper on CRISPR gene editing...",
data_files=["editing_efficiency.csv", "western_blot.png"]
):
if update["type"] == "progress":
print(f"[{update['stage']}] {update['message']}")
else:
print(f"✓ PDF: {update['files']['pdf_final']}")
asyncio.run(main())
```
### Via OpenClaw exec
```bash
# Run scientific writer
python3 -c "
import asyncio
from scientific_writer import generate_paper
async def main():
async for update in generate_paper(
query='Create a paper on your topic...',
data_files=[]
):
print(update)
asyncio.run(main())
"
```
## Available Skills (when used as plugin)
- `scientific-schematics` - AI diagram generation (CONSORT, neural networks, pathways)
- `research-lookup` - Real-time literature search
- `peer-review` - Systematic manuscript evaluation
- `citation-management` - BibTeX and reference handling
- `clinical-reports` - Medical documentation
- `research-grants` - NSF, NIH, DOE proposal support
- `scientific-slides` - Research presentations
- `latex-posters` - Conference poster generation
- `hypothesis-generation` - Scientific hypothesis development
## Output
- Scientific papers (Nature, Science, NeurIPS format)
- Grant proposals (NSF, NIH, DOE)
- Conference posters (LaTeX beamerposter)
- Literature reviews
- Clinical reports
## Notes
- Requires ANTHROPIC_API_KEY for Claude to work
- Place data files in `data/` folder (images → figures/, data → data/)
- Outputs saved to `writing_outputs/`
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資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。