meishiwhy
meishiwhy/Literature-Mind
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/meishiwhy/Literature-Mind --skill litmind-discussion命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | litmind-discussion |
| description | LitMind Discussion Generator — 基于证据的 Discussion 草稿生成 |
输入研究主题和结果，自动检索 Knowledge Base 中的文献证据，生成具有科学依据和可追溯引用的 Discussion 草稿。
| Section | 内容 |
|---|---|
| Main Finding Interpretation | 主要发现解读 |
| Supporting Evidence | 支持证据对比 |
| Contradictory Evidence | 矛盾证据讨论 |
| Potential Mechanisms | 潜在机制解释 |
| Practical Implications | 实践意义 |
| Study Limitations | 研究局限性 |
| Future Directions | 未来方向 |
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_discussion import DiscussionGeneratorService, DiscussionInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev_service = EvidenceFinderService(kb=kb, llm_provider=provider)
service = DiscussionGeneratorService(evidence_service=ev_service, llm_provider=provider)
inp = DiscussionInput(studyTopic="Footwear stiffness", results=["High stiffness increased MTP ROM"])
result = service.generate_discussion(inp)
print(result.discussionDraft)
print("Citations:", len(result.citations))
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_discussion import DiscussionGeneratorService, DiscussionInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev_service = EvidenceFinderService(kb=kb, llm_provider=provider)
service = DiscussionGeneratorService(evidence_service=ev_service, llm_provider=provider)
inp = DiscussionInput(studyTopic="Footwear stiffness", results=["High stiffness increased MTP ROM"])
result = service.generate_discussion(inp)
print(result.discussionDraft)
print(f"Citations: {len(result.citations)}")
所有引用均来自 Knowledge Base，LLM 只能引用白名单内的 paperId。