Menu
LitMind Review Generator — 基于科研知识库的综述生成系统
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | litmind-review |
| description | LitMind Review Generator — 基于科研知识库的综述生成系统 |
输入研究主题，自动检索知识库相关文献，分析研究趋势、主题聚类、共识与争议，生成结构化综述框架和带引用的综述草稿。
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_review import ReviewGeneratorService, ReviewInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev = EvidenceFinderService(kb=kb, llm_provider=provider)
service = ReviewGeneratorService(kb=kb, evidence_service=ev, llm_provider=provider)
result = service.generate_review(ReviewInput(topic="Flatfoot Biomechanics"))
print("Themes:", len(result.researchThemes))
print("Draft:", len(result.reviewDraft), "chars")
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_review import ReviewGeneratorService, ReviewInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev = EvidenceFinderService(kb=kb, llm_provider=provider)
service = ReviewGeneratorService(kb=kb, evidence_service=ev, llm_provider=provider)
result = service.generate_review(ReviewInput(topic="Flatfoot Biomechanics"))
print(f"Themes: {len(result.researchThemes)}")
print(f"Draft: {len(result.reviewDraft)} chars")
LitMind Paper Analyzer — 将论文全文转为结构化科研知识 (PaperAnalysis)
LitMind Discussion Generator — 基于证据的 Discussion 草稿生成
LitMind Evidence Finder — 科研证据检索与归纳系统
LitMind Knowledge Base — 存储、索引、检索、更新科研知识库
LitMind Paper Parser — 从 PDF 读取全文、清洗噪声、识别标准章节，输出结构化 PaperContent
LitMind Zotero Connector — 从 Zotero 本地数据库导出全部文献（期刊/学位论文/会议论文等）+ 独立PDF附件为统一 PaperMetadata 模型