Archestra Dev Observability
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
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.
$ npx skills add grafana/skills --skill send-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install grafana/skills send-data --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/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-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 "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .claude/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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/grafana/skills/tree/main/skills/grafana-cloud/send-dataType 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 grafana/skills --skill send-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install grafana/skills send-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/grafana-cloud/send-data .agents/skills/send-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .agents/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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 grafana/skills --skill send-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install grafana/skills send-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/grafana-cloud/send-data .cursor/skills/send-data && 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 "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .cursor/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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/grafana/skills.git --path skills/grafana-cloud/send-data--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 grafana/skills --skill send-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install grafana/skills send-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/grafana-cloud/send-data .gemini/skills/send-data && 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 "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .gemini/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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 grafana/skills send-dataInstalls 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 grafana/skills --skill send-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/grafana-cloud/send-data .github/skills/send-data && 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 "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .github/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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 grafana/skills --skill send-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install grafana/skills send-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/grafana-cloud/send-data .opencode/skills/send-data && 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 "send-data" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/send-data into .opencode/skills/send-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "send-data", 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.
send-dataSending 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. 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.
Read from SKILL.md and the folder at commit 1ccacf2. 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:
curlhelmFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
prometheus-prod-xx.grafana.netlogs-prod-xx.grafana.netintegrations-api-prod.grafana.netotlp-gateway-prod-xx.grafana.netAlso links to:
grafana.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GRAFANA_CLOUD_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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 grafana/skills at commit 1ccacf2, republished under its Apache-2.0 licence (© grafana). 114 words, ~1,395 tokens.
.claude/skills/send-data/SKILL.md (or your agent's skills folder).In Grafana Cloud portal → My Account → Stack → Details:
| Signal | Credential Fields |
|---|---|
| Metrics | Prometheus remote write URL, username, password/API key |
| Logs | Loki URL, username, password/API key |
| Traces | Tempo OTLP endpoint, username, password/API key |
| Profiles | Pyroscope URL, username, password/API key |
// 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")
}# 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 metricscurl -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"]
]
}]
}'# 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:
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)Pre-built integrations for common infrastructure (install from Grafana Cloud UI or API):
# 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.
# 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: truehelm install k8s-monitoring grafana/k8s-monitoring \
--version 4.1.4 \
-n monitoring --create-namespace \
-f values.yaml# 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
Just SKILL.md in skills/grafana-cloud/send-data of grafana/skills.
Open the folder on GitHubat commit 1ccacf2
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Send Data this skillgrafana/skills | 278 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.3k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| Monitoring ExpertJeffallan/claude-skills | 12k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Live Debugmacro-inc/macro | 4.6k | — | ~2.4k | Automated safety check: Notes | AGPL-3.0 |
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
macro-inc/macro
Debug the running local stack with traces, logs, and a shared headless browser.
context-labs/whip
Go observability — always-on production signals: slog logging, Prometheus metrics, OpenTelemetry tracing, pprof profiling, alerting, Grafana.
grafana/skills
Write or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog).
grafana/skills
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook)…
grafana/skills
Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), gridPos 24-column layout, units…
grafana/skills
A skill your agent uses when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6.
grafana/skills
Write, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics.
grafana/skills
Cut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact/regex rules, label-drop config…
Works with
Categories
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.
Send Data fits situations like: connecting an application; infrastructure to Grafana Cloud; setting up data ingestion; configuring remote write.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.