LLM Wiki Canvas 是做什么的？
请阅读并遵循位于 ../../../.agents/skills/llm-wiki-canvas/SKILL.md 的规范跨 Agent 技能。从仓库根目录的 .agents/skills/llm-wiki-canvas/ 中解析其辅助文件。
一个本地优先的可视化编译与审阅工作台，专为智能体管理的 Markdown 知识库设计。
LLM Wiki Canvas 是一个面向 AI 智能体的本地优先可视化知识工作台，允许用户从 Markdown 文件创建、编译和审阅知识库。该技能强调本地优先原则，确保对智能体管理的知识内容进行离线访问和完全控制。它集成可视化编译（Visual Compiler）功能，将分散的 Markdown 文档编译成结构化知识网络；同时提供审阅工作台（Review Workbench），使智能体能够直观地审查、修订和批准文档变更。该技能支持多种 AI 智能体平台，包括 Claude Code、Cursor 和 Codex Agent，并严格遵循仓库根目录下 `.agents/skills/llm-wiki-canvas/` 中的辅助文件。通过提供跨智能体的标准技能定义，LLM Wiki Canvas 促进了智能体之间的一致知识管理实践。
npx skills add chicogong/llm-wiki-canvasInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
请阅读并遵循位于 ../../../.agents/skills/llm-wiki-canvas/SKILL.md 的规范跨 Agent 技能。从仓库根目录的 .agents/skills/llm-wiki-canvas/ 中解析其辅助文件。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.