菜单
Automates systematic literature reviews using multi-agent AI workflows. Can perform title/abstract screening, full-text screening, and data abstraction.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
AI-driven multi-format SVG content generation system. Converts source documents (PDF/DOCX/URL/Markdown) into high-quality SVG pages and exports to PPTX through multi-role collaboration. Use when user asks to "create PPT", "make presentation", "生成PPT", "做PPT", "制作演示文稿", or mentions "ppt-master".
Recommends the best journals for an academic paper. Use this skill whenever an author wants to know where to submit their paper, asks for journal suggestions, wants to find suitable journals for their research, or asks "which journal should I submit to". Takes the paper abstract or full manuscript, gathers the author's preferences via interactive buttons, evaluates the quality and scope of the work, then produces an exhaustive ranked list of suitable journals drawn exclusively from the Scopus and WoS indexed journal database bundled with this skill. Enriches each recommendation with live metrics (IF, CiteScore, SJR, quartile) fetched from Scimago, JCR, and publisher pages. Delivers a formatted PDF report. Always trigger this skill — do not attempt journal recommendations without it.
A shared code repository for the PAN (Digital Text Forensics) research community. Includes tools for authorship attribution, profiling, and style analysis.
A shared code repository for the PAN (Digital Text Forensics) research community. Includes tools for authorship attribution, profiling, and style analysis.
Use when the user asks Agent Zero to operate the built-in Linux Desktop, XFCE apps, LibreOffice GUI apps, file manager, terminal, or visual desktop workflows.
Improves research paper quality via academic rewriting, summarization, and proofreading.
| name | LatteReview (Systematic Review Automation) |
| description | Automates systematic literature reviews using multi-agent AI workflows. Can perform title/abstract screening, full-text screening, and data abstraction. |
| author | BioDockify AI Team (Integration of PouriaRouzrokh/LatteReview) |
| version | 1.0.0 |
This skill integrates the LatteReview framework to allow BioDockify AI to perform PhD-level systematic reviews.
from agent_zero.skills.latte_review import get_latte_review
latte = get_latte_review()
# Define Criteria
inclusion = "Studies using AI for drug discovery in oncology."
exclusion = "Review articles, non-English papers."
# Run Screening
output_csv = latte.screen_papers(
input_path="data/papers/candidates.csv", # Must have 'title' and 'abstract' columns
inclusion_criteria=inclusion,
exclusion_criteria=exclusion
)
print(f"Screening complete. Results saved to {output_csv}")
The skill uses LiteLLM under the hood. It will inherit the API keys from the BioDockify AI environment (e.g., OPENAI_API_KEY, GEMINI_API_KEY).