kafka訂單事件平台 是做什麼的?
以本地優先的零售數據平台,整合Kafka、PostgreSQL、dbt、Slim CI、元數據與血緣、唯讀MCP及Codex技能,用於基於證據的事件診斷。
以本地優先的零售數據平台,整合Kafka、PostgreSQL、dbt、Slim CI、元數據與血緣、唯讀MCP及Codex技能,用於基於證據的事件診斷。
這是一個以本地為優先的零售數據平台技能,專門設計用於處理訂單事件驅動的數據管道。它整合了Apache Kafka作為事件串流引擎、PostgreSQL作為持久化存儲、dbt用於數據轉換與建模,並搭配Slim CI進行高效的增量測試。平台還內建元數據與數據血緣管理,能夠清晰追蹤數據來源與轉換歷程;同時支援唯讀MCP(Model Context Protocol)與Codex技能,讓AI代理能夠以唯讀方式安全地查詢與分析數據。這套組合使得開發者與AI代理能夠在事件發生時,快速獲取證據進行診斷與除錯。支援的執行環境包括Claude Code、Cursor等支援MCP的AI編程工具,適合零售業的訂單處理、庫存管理、異常檢測等場景。
npx skills add arthurhung/kafka-order-event-platformInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
以本地優先的零售數據平台,整合Kafka、PostgreSQL、dbt、Slim CI、元數據與血緣、唯讀MCP及Codex技能,用於基於證據的事件診斷。
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.