从 Jira 获取需求详情,分析图片附件,输出结构化需求描述
访问 AxShare 原型页面,提供截图、文本识别和结构化原型说明书
生成 API 契约表格,对照接口设计规范校验
生成技术设计文档大纲,支持总体设计/后端详细设计/前端详细设计三种模板
生成 Draw.io 技术设计图(流程图/架构图/时序图/泳道图)
产研测需求对齐”排雷手”。对 PRD/需求做前置审计,提炼业务本质、挖掘未定义异常流与逻辑矛盾,对比现有代码/DDL/API 识别实现冲突与数据一致性风险。在需求评审前、PRD 与代码对撞分析、或用户提及”需求对齐”、”排雷”、”预审”、”PRD 评审”、”需求审计”、”灵魂拷问”时使用。
从 Jira 获取需求详情、分析附件图片、输出结构化需求分析文档。当用户提及 Jira 工单、需求详情、查看需求、任何 Jira 工单号(如 TM-XXX、PVS-XXX、PROJ-123 等格式)、分析 Jira、"帮我看下这个需求" 时触发。
访问 AxShare 原型页面,提供截图和文本识别功能
生成技术设计文档大纲,包含文档骨架生成、API 契约表格、架构方案对比。当用户请求"生成大纲"、"文档骨架"、"设计模板"、"API 清单"、"接口文档"、"契约表"、"方案对比"、"架构选型"、"技术选型"时触发。
生成 Draw.io 兼容的技术设计图(流程图/架构图/时序图/泳道图)。当用户要求生成技术图表、系统设计图、流程图、时序图、架构图、泳道图、mermaid 图、draw.io 图时使用。
Uses power tools
Uses Bash, Write, or Edit tools
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太美团队的 Cursor 插件市场,包含一组内部插件。
.cursor-plugin/marketplace.json: 市场清单与插件注册表plugins/<plugin-name>/.cursor-plugin/plugin.json: 各插件元数据plugins/<plugin-name>/rules: 规则文件(.mdc)plugins/<plugin-name>/skills: 技能目录,包含 SKILL.mdplugins/<plugin-name>/agents: 子代理定义plugins/<plugin-name>/mcp.json: 各插件的 MCP 服务器配置运行:
node scripts/validate-template.mjs
该脚本会检查市场路径、插件清单,以及规则/技能/代理/命令文件中的必填 frontmatter。
.cursor-plugin/plugin.json.cursor-plugin/marketplace.json 中的条目对应实际的插件目录node scripts/validate-template.mjs 通过npx claudepluginhub taimei-1024/cursor-plugins --plugin aitdCursor AI code attribution: trace git commits back to Cursor conversations, view AI contribution stats
读取和编辑 Confluence 页面内容,支持表格列操作、文本替换、章节修改等
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.