morsel 是做什么的?
一款以MCP为先、相机为先的食物追踪工具——集数据存储、仪表盘与智能体技能于一体。你的AI会填满这个仓库。
一款以MCP为先、相机为先的食物追踪工具——集数据存储、仪表盘与智能体技能于一体。你的AI会填满这个仓库。
Morsel是一个以MCP(Model Context Protocol)为先导、相机交互为核心的食物追踪系统,它将数据存储、可视化仪表盘和AI智能体技能整合为一个统一的开发者工具。该系统专为支持AI Agent(如Claude Code、Cursor等)而设计,允许AI通过标准协议直接记录和查询食物数据。其核心优势在于:AI可以自动从照片中识别食物、记录营养信息、生成饮食报告,而无需手动输入。Morsel支持多种主流AI平台,通过简单的命令即可实现食物追踪的自动化。对于开发者而言,这意味着可以快速构建基于图像的饮食记录应用,或者将食物追踪功能集成到现有的健康管理、教练或医疗AI工作流中。其“相机优先”的设计理念使得用户只需拍照即可触发完整的食物分析流程,非常适合需要高效、无感的数据收集场景。
npx skills add jirathip-dev/morselInstalled? 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 →
一款以MCP为先、相机为先的食物追踪工具——集数据存储、仪表盘与智能体技能于一体。你的AI会填满这个仓库。
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.