affaan-m/dashboard-builder
docs/zh-CN/skills/dashboard-builder/SKILL.md
为 Grafana、SigNoz 等平台构建能够回答实际运维人员问题的监控仪表板。适用于将指标转化为可用的仪表板，而非华而不实的展示板。
$ install --global
skillsauthnpx skillsauth add affaan-m/everything-claude-code dashboard-builderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 16, 2026, 3:54 AM192.7s1 file scanned
SKILL.md
- name:
- dashboard-builder
- description:
- 为 Grafana、SigNoz 等平台构建能够回答实际运维人员问题的监控仪表板。适用于将指标转化为可用的仪表板，而非华而不实的展示板。
- origin:
- ECC direct-port adaptation
- version:
- 1.0.0
仪表盘构建器
当任务需要构建一个可供操作人员使用的仪表盘时使用此方案。
目标不是"展示所有指标"，而是回答以下问题：
- 系统健康吗？
- 瓶颈在哪里？
- 发生了什么变化？
- 应该采取什么行动？
使用场景
- "构建一个Kafka监控仪表盘"
- "为Elasticsearch创建一个Grafana仪表盘"
- "为这个服务制作一个SigNoz仪表盘"
- "将这个指标列表转化为真正的运维仪表盘"
约束条件
- 不要从视觉布局开始；要从操作人员的问题出发
- 不要仅仅因为指标存在就包含所有可用指标
- 不要在没有结构的情况下混合健康、吞吐量和资源面板
- 不要发布没有标题、单位和合理阈值的面板
工作流程
1. 定义操作问题
围绕以下方面组织：
- 健康/可用性
- 延迟/性能
- 吞吐量/容量
- 饱和度/资源
- 服务特定风险
2. 研究目标平台架构
首先检查现有仪表盘：
- JSON结构
- 查询语言
- 变量
- 阈值样式
- 分区布局
3. 构建最小可用面板
推荐结构：
- 概览
- 性能
- 资源
- 服务特定分区
4. 剔除装饰性面板
每个面板都应回答一个真实问题。如果不能，则移除。
示例面板集
Elasticsearch
- 集群健康
- 分片分配
- 搜索延迟
- 索引速率
- JVM堆/GC
Kafka
- 代理数量
- 副本不足的分区
- 消息流入/流出
- 消费者滞后
- 磁盘和网络压力
API网关/入口
- 请求速率
- p50/p95/p99延迟
- 错误率
- 上游健康
- 活跃连接数
质量检查清单
- [ ] 有效的仪表盘JSON
- [ ] 清晰的分区分组
- [ ] 包含标题和单位
- [ ] 阈值/状态颜色有意义
- [ ] 存在常用过滤器的变量
- [ ] 默认时间范围和刷新频率合理
- [ ] 没有对操作人员无价值的装饰性面板
相关技能
research-opsbackend-patternsterminal-ops
Related Skills
affaan-m/team-agent-orchestration
data-ai
VerifiedTrustedCommunity
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
208,450SKILL.mdUpdated Jun 6, 2026
affaan-m/dynamic-workflow-mode
data-ai
VerifiedTrustedCommunity
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
207,422SKILL.mdUpdated Jun 5, 2026
affaan-m/react-testing
development
VerifiedTrustedCommunity
React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.
206,043SKILL.mdUpdated Jun 4, 2026
affaan-m/react-performance
tools
VerifiedTrustedCommunity
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.
206,043SKILL.mdUpdated Jun 4, 2026