Unverified50% confidenceSolutionExact time
LLM-ready Markdown, when built in-house by developers, typically requires post-processing combining html2text, trafilatura, or custom rules.
1
Sources
50%
Confidence
Long-term
Relevance
9/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLMs have difficulty directly parsing the binary structure of Figma files and extracting design intent from scattered codebases, whereas Markdown is the format that models are best at understanding and following.69% similarUnverified向LLM提供结构化需求描述（函数签名、类型约束、前置条件和后置条件）能显著提高生成代码的正确率68% similarUnverified在文本摘要、内容创作、代码生成、语义分类等带有生成或判断属性的任务上，LLM是无可替代的68% similarUnverifiedMarkdown has become the de facto standard format for LLM data pipelines, due to its high plain-text token efficiency, preservation of document semantic structure, and the large volume of Markdown content included in mainstream LLM training data.66% similarUnverified选择 Markdown 作为 Skill 载体格式，因其对 LLM 天然友好且对人类开发者具备良好可读性65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/919420API
curl https://kongchang.com/api/v1/knowledge/claims/919420MCP
get_claim(id=919420)