ML AI
grafana/skills
Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN…
Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting.
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kilo-Org/kilo-marketplace dashboarding --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dashboarding .claude/skills/dashboarding && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .claude/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboardingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kilo-Org/kilo-marketplace dashboarding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dashboarding .agents/skills/dashboarding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .agents/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kilo-Org/kilo-marketplace dashboarding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dashboarding .cursor/skills/dashboarding && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .cursor/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Kilo-Org/kilo-marketplace.git --path skills/dashboarding--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kilo-Org/kilo-marketplace dashboarding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dashboarding .gemini/skills/dashboarding && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .gemini/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Kilo-Org/kilo-marketplace dashboardingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dashboarding .github/skills/dashboarding && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .github/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kilo-Org/kilo-marketplace dashboarding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dashboarding .opencode/skills/dashboarding && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dashboarding" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/dashboarding into .opencode/skills/dashboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dashboarding", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dashboardingCreate, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting.
Dashboarding is an agent skill from Kilo-Org/kilo-marketplace. Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting. Use when the user asks to create a Grafana dashboard, add a panel, configure a time series or stat panel, add template variables, set up dashboard linking, use transformations, configure thresholds, build a dashboard for a service, or export dashboard JSON. Triggers on phrases like "create dashboard", "add panel", "time series panel", "Grafana dashboard JSON", "template variables", "dashboard variable"…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in DevOps & Cloud, covering Monitoring and alerting and Forecasting and time series. It works with Grafana. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
grafana.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dashboarding loads about 2.4k tokens when it runs. Until then it costs about 160 tokens; SKILL.md has 391 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its Apache-2.0 licence (© Kilo-Org). 391 words, ~2,409 tokens.
.claude/skills/dashboarding/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Dashboards are JSON documents stored in Grafana. Every dashboard has panels, variables, time range, and refresh settings. Understanding the JSON schema lets you programmatically create and modify dashboards via the API or Grafana Assistant tools.
{
"title": "My Dashboard",
"uid": "my-dashboard-v1",
"tags": ["service", "production"],
"time": { "from": "now-1h", "to": "now" },
"refresh": "30s",
"timezone": "browser",
"schemaVersion": 41,
"templating": { "list": [] },
"annotations": { "list": [] },
"panels": []
}Key fields:
uid - stable identifier used in URLs and API calls; keep it short and meaningfulschemaVersion - use 41 for Grafana 11+time.from / to - supports relative (now-1h, now-7d) and absolute ISO timestampsrefresh - auto-refresh interval ("30s", "1m", "5m", "" for off)| Panel | Use case |
|---|---|
| Time series | Any metric over time; the default choice for counters, rates, gauges |
| Stat | Single current value with optional sparkline (e.g. uptime, current RPS) |
| Gauge | Percent or value against a min/max (e.g. disk usage %) |
| Bar gauge | Compare multiple values side by side (e.g. top 10 services by RPS) |
| Table | Multi-column data (e.g. alert list with labels) |
| Heatmap | Distribution over time (e.g. request duration histogram) |
| Logs | Loki log streams |
| Traces | Tempo trace search |
| Text | Markdown documentation panels |
| Candlestick | OHLC/financial data (or min/max/avg patterns) |
| Node graph | Service dependency graphs |
{
"id": 1,
"type": "timeseries",
"title": "Request Rate",
"gridPos": { "x": 0, "y": 0, "w": 12, "h": 8 },
"datasource": { "type": "prometheus", "uid": "${datasource}" },
"targets": [
{
"expr": "sum(rate(http_requests_total{job=\"$job\"}[5m])) by (status_code)",
"legendFormat": "{{status_code}}",
"refId": "A"
}
],
"fieldConfig": {
"defaults": {
"unit": "reqps",
"thresholds": {
"mode": "absolute",
"steps": [
{ "color": "green", "value": null },
{ "color": "yellow", "value": 1000 },
{ "color": "red", "value": 5000 }
]
}
},
"overrides": []
},
"options": {
"legend": { "calcs": ["mean", "max", "last"], "displayMode": "table", "placement": "bottom" },
"tooltip": { "mode": "multi", "sort": "desc" }
}
}gridPos: The dashboard uses a 24-column grid. Common widths: full-width=24, half=12, third=8, quarter=6. Height in grid units (1 unit ≈ 30px).
# Rates
"reqps" -- requests per second
"ops" -- operations per second
"Bps" -- bytes per second
"percentunit" -- 0.0-1.0 as percentage
# Storage
"bytes" -- bytes (auto-scales to KB/MB/GB)
"decbytes" -- decimal bytes (1 KB = 1000 B)
# Time
"ms" -- milliseconds
"s" -- seconds
"dtdurationms" -- duration in ms (shows as "1h 2m 3s")
# Counts
"short" -- compact number (1.2k, 3.4M)
"none" -- raw numberFull list: Panel > Field > Unit dropdown in Grafana UI, or the units reference.
Variables make dashboards reusable across environments and services.
Query variable (populates from metric labels):
{
"name": "job",
"type": "query",
"datasource": { "type": "prometheus", "uid": "prometheus" },
"query": { "query": "label_values(up, job)", "refId": "A" },
"refresh": 2,
"includeAll": true,
"multi": true,
"label": "Service"
}Constant variable:
{
"name": "cluster",
"type": "constant",
"query": "production",
"label": "Cluster"
}Datasource variable (switch data sources without editing queries):
{
"name": "datasource",
"type": "datasource",
"pluginId": "prometheus",
"includeAll": false,
"label": "Prometheus"
}Use variables in queries:
# Reference a variable in a PromQL query
rate(http_requests_total{job=~"$job"}[5m])
# Multi-value variable uses regex OR automatically
# When $job = ["api", "worker"], it becomes job=~"api|worker"Chain variables (second variable filters based on first):
{
"name": "pod",
"query": "label_values(kube_pod_info{namespace=\"$namespace\"}, pod)"
}Transformations run client-side after data is fetched, reshaping results without changing queries.
Common transformations:
"transformations": [
{
"id": "merge",
"options": {}
},
{
"id": "organize",
"options": {
"renameByName": { "Value #A": "Request Rate", "Value #B": "Error Rate" },
"excludeByName": { "Time": true }
}
},
{
"id": "calculateField",
"options": {
"alias": "Error %",
"mode": "reduceRow",
"reduce": { "reducer": "last" },
"binary": {
"left": "errors",
"right": "total",
"operator": "/"
}
}
},
{
"id": "filterByValue",
"options": {
"filters": [{ "fieldName": "Error %", "config": { "id": "greater", "options": { "value": 0.01 } } }],
"type": "include",
"match": "any"
}
}
]Key transformation IDs: merge, organize, rename, calculateField, filterByValue,
groupBy, sortBy, limit, labelsToFields, seriesToRows, partitionByValues.
Panel link (click a panel to go somewhere):
"links": [
{
"title": "Go to details",
"url": "/d/details-dashboard?var-service=${__field.labels.service}",
"targetBlank": false
}
]Dashboard link (top-right corner links):
"links": [
{
"title": "Runbook",
"url": "https://wiki.example.com/runbook/${job}",
"icon": "external link",
"targetBlank": true,
"type": "link"
}
]Built-in variables for links:
${__value.raw} - current data point value${__field.labels.job} - label value from current series${__url.params} - current URL query parameters (pass-through)${__from} / ${__to} - current time range as Unix msShow events overlaid on time series panels (deployments, incidents, etc.).
Query annotation from Loki:
{
"datasource": { "type": "loki", "uid": "loki" },
"expr": "{job=\"deployments\"} |= \"deployed\"",
"name": "Deployments",
"iconColor": "blue",
"titleFormat": "{{service}} deployed",
"textFormat": "{{version}} by {{author}}"
}Query annotation from Prometheus:
{
"datasource": { "type": "prometheus", "uid": "prometheus" },
"expr": "changes(kube_deployment_status_observed_generation{namespace=\"production\"}[5m]) > 0",
"step": "60s",
"name": "Deployments",
"iconColor": "blue",
"titleFormat": "Deploy: {{deployment}}"
}# Create or update a dashboard
curl -s -X POST \
-H "Authorization: Bearer <API_KEY>" \
-H "Content-Type: application/json" \
"https://myorg.grafana.net/api/dashboards/db" \
-d '{
"dashboard": { <dashboard JSON> },
"folderUid": "my-folder",
"overwrite": true,
"message": "Updated via API"
}'
# Get a dashboard by UID
curl -s -H "Authorization: Bearer <API_KEY>" \
"https://myorg.grafana.net/api/dashboards/uid/my-dashboard-v1" | jq '.dashboard'
# Search dashboards
curl -s -H "Authorization: Bearer <API_KEY>" \
"https://myorg.grafana.net/api/search?query=kubernetes&type=dash-db" | \
jq '.[] | {uid, title, folderTitle}'
# Create a folder
curl -s -X POST \
-H "Authorization: Bearer <API_KEY>" \
-H "Content-Type: application/json" \
"https://myorg.grafana.net/api/folders" \
-d '{"uid": "platform-team", "title": "Platform Team"}'For dashboards embedded in app plugins, use @grafana/scenes instead of raw JSON.
See the grafana-o11y:grafana-scenes skill for the React-based scenes API.
© Kilo-Org, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/dashboarding of Kilo-Org/kilo-marketplace.
Open the folder on GitHubat commit ff51758
Dashboarding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dashboarding this skillKilo-Org/kilo-marketplace | 189 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| ML AIgrafana/skills | 278 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| K6 Trend Analysisgrafana/skills | 278 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Promql CLIsamber/cc-skills | 228 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Timeseries DBFerroxLabs/wayland | 608 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Magic MouthHmbown/Wizards-of-the-Ghosts | 109 | — | ~836 | Automated safety check: Pass | CC0-1.0 |
grafana/skills
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grafana/skills
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samber/cc-skills
CLI for querying Prometheus and PromQL-compatible engines (Thanos, Cortex, VictoriaMetrics, Grafana Mimir, Grafana Tempo...) — instant queries, range queries, metric discovery (metrics/labels/meta…
FerroxLabs/wayland
Time-series database design and operations covering InfluxDB, TimescaleDB, and QuestDB patterns, data retention policies, continuous aggregates, downsampling strategies, compression techniques…
Hmbown/Wizards-of-the-Ghosts
Magic Mouth is trigger → message. An agent skill from Hmbown/Wizards-of-the-Ghosts.
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
Kilo-Org/kilo-marketplace
Sets up and maintains AzureML-ready Python projects as uv workspaces with devcontainers, a Makefile and job YAML, so local runs match cloud jobs and experiments stay reproducible.
Kilo-Org/kilo-marketplace
Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.
Kilo-Org/kilo-marketplace
Takes a plain-language dashboard request through brand setup, data exploration, planning, an interactive HTML mock and a Tableau implementation spec.
Kilo-Org/kilo-marketplace
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.
Kilo-Org/kilo-marketplace
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Kilo-Org/kilo-marketplace
Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…
Works with
Categories
Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting. Dashboarding is an agent skill from Kilo-Org/kilo-marketplace. Create, modify, and organise Grafana dashboards including panels, variables, transformations, and alerting.
Dashboarding fits situations like: the user asks to create a Grafana dashboard; configure a time series; add template variables; set up dashboard linking.
Run `npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a claude-code`. Or copy the skill folder (skills/dashboarding in Kilo-Org/kilo-marketplace) into .claude/skills/dashboarding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a codex`. Or copy the skill folder (skills/dashboarding in Kilo-Org/kilo-marketplace) into .agents/skills/dashboarding in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill dashboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dashboarding, .gemini/skills/dashboarding, .github/skills/dashboarding and .opencode/skills/dashboarding in your project.
Going by SKILL.md and its folder, Dashboarding needs the command-line tools its instructions call (curl and jq) and credentials named API_KEY. Our summary lists: A credential in API_KEY.
SKILL.md names 1 domain. As links in the text: grafana.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dashboarding is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dashboarding: ML AI (grafana/skills, 278 stars), K6 Trend Analysis (grafana/skills, 278 stars), Promql CLI (samber/cc-skills, 228 stars) and Timeseries DB (FerroxLabs/wayland, 608 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 189 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on September 28, 2026.
Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.