Official agent skill

Send Data

by grafana in grafana/skills

Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope.

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Send Data

skills CLI
$ npx skills add grafana/skills --skill send-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install grafana/skills send-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grafana-cloud/send-data .claude/skills/send-data && rm -rf skills-src

Use ~/.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/

Facts

Skill name
send-data
GitHub stars
278
Token cost
~1.4k tokens
SKILL.md length
114 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
Apache-2.0

At a glance

Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope.

  • Connecting an application
  • SKILL.md covers Quick Start: Find Your…, Alloy (Recommended — All…, Direct Prometheus Remote Write and Direct Loki Push (curl), plus 4 more sections
  • Calls curl and helm; reaches prometheus-prod-xx.grafana.net and logs-prod-xx.grafana.net; needs GRAFANA_CLOUD_API_KEY
  • Infrastructure to Grafana Cloud

What it does

Send Data is an agent skill from grafana/skills, published by the product's own GitHub organization. Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Monitoring and alerting. It works with Grafana, OpenTelemetry and Prometheus. The licence is Apache-2.0.

When your agent uses it

  • Connecting an application
  • Infrastructure to Grafana Cloud
  • Setting up data ingestion
  • Configuring remote write

Example prompts

  • “/send-data”

Requirements

  • Python 3
  • Node.js
  • Docker
  • A credential in GRAFANA_CLOUD_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 1ccacf2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • helm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • prometheus-prod-xx.grafana.net
    • logs-prod-xx.grafana.net
    • integrations-api-prod.grafana.net
    • otlp-gateway-prod-xx.grafana.net

    Also links to:

    • grafana.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GRAFANA_CLOUD_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Send Data loads about 1.4k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 114 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from grafana/skills at commit 1ccacf2, republished under its Apache-2.0 licence (© grafana). 114 words, ~1,395 tokens.

Download SKILL.mdSave it as .claude/skills/send-data/SKILL.md (or your agent's skills folder).
name
send-data
description
Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.
license
Apache-2.0

Sending Data to Grafana Cloud

Docs: https://grafana.com/docs/grafana-cloud/send-data/

Quick Start: Find Your Credentials

In Grafana Cloud portal → My Account → Stack → Details:

SignalCredential Fields
MetricsPrometheus remote write URL, username, password/API key
LogsLoki URL, username, password/API key
TracesTempo OTLP endpoint, username, password/API key
ProfilesPyroscope URL, username, password/API key
alloy
// METRICS
prometheus.scrape "app" {
  targets    = [{"__address__" = "localhost:8080"}]
  forward_to = [prometheus.remote_write.cloud.receiver]
}

prometheus.remote_write "cloud" {
  endpoint {
    url = "https://prometheus-prod-xx.grafana.net/api/prom/push"
    basic_auth {
      username = sys.env("PROM_USER")
      password = sys.env("GRAFANA_CLOUD_API_KEY")
    }
  }
}

// LOGS
loki.source.file "app" {
  targets = [{__path__ = "/var/log/app/*.log", job = "app"}]
  forward_to = [loki.write.cloud.receiver]
}

loki.write "cloud" {
  endpoint {
    url = "https://logs-prod-xx.grafana.net/loki/api/v1/push"
    basic_auth {
      username = sys.env("LOKI_USER")
      password = sys.env("GRAFANA_CLOUD_API_KEY")
    }
  }
}

// TRACES (OTLP receive → forward)
otelcol.receiver.otlp "default" {
  grpc { endpoint = "0.0.0.0:4317" }
  http { endpoint = "0.0.0.0:4318" }
  output {
    traces = [otelcol.exporter.otlp.cloud.input]
  }
}

otelcol.exporter.otlp "cloud" {
  client {
    endpoint = "tempo-prod-xx.grafana.net:443"
    auth = otelcol.auth.basic.cloud.handler
  }
}

otelcol.auth.basic "cloud" {
  username = sys.env("TEMPO_USER")
  password = sys.env("GRAFANA_CLOUD_API_KEY")
}

Direct Prometheus Remote Write

yaml
# prometheus.yml
remote_write:
  - url: https://prometheus-prod-xx.grafana.net/api/prom/push
    basic_auth:
      username: "123456"
      password: "your-api-key"
    write_relabel_configs:
      - source_labels: [__name__]
        regex: "go_.*"
        action: drop   # optional: drop high-cardinality metrics

Direct Loki Push (curl)

bash
curl -X POST https://logs-prod-xx.grafana.net/loki/api/v1/push \
  -H "Content-Type: application/json" \
  -u "123456:your-api-key" \
  -d '{
    "streams": [{
      "stream": { "app": "myapp", "env": "prod" },
      "values": [
        ["1706745600000000000", "application started"]
      ]
    }]
  }'

OpenTelemetry SDK → Grafana Cloud

bash
# Environment variables for OTLP export
export OTEL_EXPORTER_OTLP_ENDPOINT="https://otlp-gateway-prod-xx.grafana.net/otlp"
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Basic $(echo -n '123456:your-api-key' | base64)"
export OTEL_SERVICE_NAME="my-service"

Python example:

python
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor

provider = TracerProvider()
exporter = OTLPSpanExporter()  # reads OTEL_EXPORTER_OTLP_* env vars
provider.add_span_processor(BatchSpanProcessor(exporter))
trace.set_tracer_provider(provider)

Cloud Integrations

Pre-built integrations for common infrastructure (install from Grafana Cloud UI or API):

bash
# List available integrations
curl https://integrations-api-prod.grafana.net/api/v1/integrations \
  -H "Authorization: Bearer <api-key>"

# Install AWS CloudWatch integration
curl -X POST https://integrations-api-prod.grafana.net/api/v1/integrations/cloudwatch \
  -H "Authorization: Bearer <api-key>" \
  -H "Content-Type: application/json" \
  -d '{"name": "aws-prod", "config": {...}}'

Popular integrations: AWS CloudWatch, Azure Monitor, GCP, Kubernetes, Docker, MySQL, PostgreSQL, Redis, Nginx, Apache, JVM, Node.js, Python, .NET.

Kubernetes Agent Operator

yaml
# values.yaml for grafana/k8s-monitoring Helm chart
cluster:
  name: production

externalServices:
  prometheus:
    host: https://prometheus-prod-xx.grafana.net
    basicAuth:
      username: "123456"
      password:
        secretName: grafana-cloud-secret
        secretKey: api-key

  loki:
    host: https://logs-prod-xx.grafana.net
    basicAuth:
      username: "234567"
      password:
        secretName: grafana-cloud-secret
        secretKey: api-key

metrics:
  enabled: true
  podMonitors:
    enabled: true
  serviceMonitors:
    enabled: true

logs:
  pod_logs:
    enabled: true

traces:
  enabled: true
bash
helm install k8s-monitoring grafana/k8s-monitoring \
  --version 4.1.4 \
  -n monitoring --create-namespace \
  -f values.yaml

API Key Management

bash
# Create API key via Grafana API
curl -X POST https://yourstack.grafana.net/api/auth/keys \
  -H "Content-Type: application/json" \
  -u "admin:adminpassword" \
  -d '{"name": "alloy-writer", "role": "MetricsPublisher", "secondsToLive": 0}'

Roles for data ingestion: MetricsPublisher, LogsPublisher, TracesPublisher, ProfilesPublisher

© grafana, 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

Files

Just SKILL.md in skills/grafana-cloud/send-data of grafana/skills.

Open the folder on GitHubat commit 1ccacf2

Compare with similar skills

Send Data 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.

Send Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Send Data this skillgrafana/skills278—~1.4kAutomated safety check: PassApache-2.0
Archestra Dev Observabilityarchestra-ai/archestra4.3k—~1.2kAutomated safety check: PassCustom licence
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Monitoring ExpertJeffallan/claude-skills12k—~1.6kAutomated safety check: PassMIT
Live Debugmacro-inc/macro4.6k—~2.4kAutomated safety check: NotesAGPL-3.0

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Categories

Questions about Send Data

What does Send Data do?

Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Send Data is an agent skill from grafana/skills, published by the product's own GitHub organization. Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope.

When should I use Send Data?

Send Data fits situations like: connecting an application; infrastructure to Grafana Cloud; setting up data ingestion; configuring remote write.

How do I install Send Data in Claude Code?

Run `npx skills add grafana/skills --skill send-data -a claude-code`. Or copy the skill folder (skills/grafana-cloud/send-data in grafana/skills) into .claude/skills/send-data in your project. Claude Code loads it when a task matches its description.

How do I install Send Data in Codex?

Run `npx skills add grafana/skills --skill send-data -a codex`. Or copy the skill folder (skills/grafana-cloud/send-data in grafana/skills) into .agents/skills/send-data in your project. Codex loads it when a task matches its description.

Can I use Send Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add grafana/skills --skill send-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/send-data, .gemini/skills/send-data, .github/skills/send-data and .opencode/skills/send-data in your project.

What does Send Data need to run?

Going by SKILL.md and its folder, Send Data needs the command-line tools its instructions call (curl and helm) and credentials named GRAFANA_CLOUD_API_KEY. Our summary lists: Python 3; Node.js; Docker; A credential in GRAFANA_CLOUD_API_KEY.

Does Send Data access the network?

SKILL.md names 5 domains. In commands or code: prometheus-prod-xx.grafana.net, logs-prod-xx.grafana.net, integrations-api-prod.grafana.net and otlp-gateway-prod-xx.grafana.net; the agent is likely to contact these when it follows the instructions. As links in the text: grafana.com. This is read from the text; nothing was executed.

Is Send Data safe to install?

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.

What licence does Send Data use?

Send Data is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Send Data use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Send Data?

Skills that share tags, products or a category with Send Data: Archestra Dev Observability (archestra-ai/archestra, 4.3k stars), Frontmcp Observability (agentfront/frontmcp, 146 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars) and Monitoring Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Send Data?

grafana (a GitHub organization, an official publisher) maintains it in grafana/skills, which has 278 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 6, 2026.

Source: grafana/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.