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
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-dashboard-builder-skill-md&format=skill
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Standard format with system_prompt and model_config, ready for any agent framework
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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
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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