dashboard-builder
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-dashboard-builder-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name dashboard-builder description Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board. metadata {"version":"1.0.0","origin":"ECC direct-port adaptation"} Dashboard Builder Use this when the task is to build a dashboard people can operate from. The goal is not "show every metric." The goal is to answer: is it healthy? where is the bottleneck? what changed? what action should someone take? When to Use "Build a Kafka monitoring dashboard" "Create a Grafana dashboard for Elasticsearch" "Make a SigNoz dashboard for this service" "Turn this metrics list into a real operational dashboard" Guardrails do not start from visual layout; start from operator questions do not include every available metric just because it exists do not mix health, throughput, and resource panels without structure do not ship panels without titles, units, and sane thresholds Workflow 1. Define the operating questions Organize around: health / availability latency / performance throughput / volume saturation / resources service-specific risk 2. Study the target platform schema Inspect existing dashboards first: JSON structure query language variables threshold styling section layout 3. Build the minimum useful board Recommended structure: overview performance resources service-specific section 4. Cut vanity panels Every panel should answer a real question. If it does not, remove it. Example Panel Sets Elasticsearch cluster health shard allocation search latency indexing rate JVM heap / GC Kafka broker count under-replicated partitions messages in / out consumer lag disk and network pressure API gateway / ingress request rate p50 / p95 / p99 latency error rate upstream health active connections Quality Checklist valid dashboard JSON clear section grouping titles and units are present thresholds/status colors are meaningful variables exist for common filters default time range and refresh are sensible no vanity panels with no operator value Related Skills research-ops backend-patterns terminal-ops
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
