LLM Assistant Hub | Agent Skills Atlas

About this skill

针对商业、法律等高风险长文档的长上下文推理优化器,提供五大核心能力. 分层分析策略(L0快速扫描→L1深度分析→L2聚焦深挖)按文档长度自动选择层级组合,控制token成本. 文档分块处理超长文档(超过50000字),按章节逻辑边界分割,逐块独立分析后全局检查跨块矛盾,解决上下文衰减问题. 假设检测框架将假设分为显式/隐式/缺失三类,配套7项检查清单,缺失假设标记为最高风险. 结构化压缩保留风险信号,压缩背景与重复内容,节省40-60%输出token. 差异化文档比对按逻辑块对应后逐块比较,仅分析差异可节省60-80%token. 适用于合同审查准备、商业备忘录分析、提案红线审查、政策对比、谈判简报准备场景.

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Original listing metadata

Original name

llm-assistant-hub

Original description

针对商业、法律等高风险长文档的长上下文推理优化器，提供五大核心能力. 分层分析策略（L0快速扫描→L1深度分析→L2聚焦深挖）按文档长度自动选择层级组合，控制token成本. 文档分块处理超长文档（超过50000字），按章节逻辑边界分割，逐块独立分析后全局检查跨块矛盾，解决上下文衰减问题. 假设检测框架将假设分为显式/隐式/缺失三类，配套7项检查清单，缺失假设标记为最高风险. 结构化压缩保留风险信号，压缩背景与重复内容，节省40-60%输出token. 差异化文档比对按逻辑块对应后逐块比较，仅分析差异可节省60-80%token. 适用于合同审查准备、商业备忘录分析、提案红线审查、政策对比、谈判简报准备场景.

About this listing

Category: General
Reported license: Not specified
Listing language (estimated): Chinese
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.