Mz Release Signoff
MaterializeInc/materialize
Verify a release candidate on the Grafana dashboards and sign off in release.
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…
Install Adaptive Metrics
$ npx skills add grafana/skills --skill adaptive-metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install grafana/skills adaptive-metrics --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/adaptive-metrics .claude/skills/adaptive-metrics && 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 "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .claude/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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/adaptive-metricsType 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 adaptive-metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install grafana/skills adaptive-metrics --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/adaptive-metrics .agents/skills/adaptive-metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .agents/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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 adaptive-metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install grafana/skills adaptive-metrics --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/adaptive-metrics .cursor/skills/adaptive-metrics && 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 "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .cursor/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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/adaptive-metrics--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 adaptive-metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install grafana/skills adaptive-metrics --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/adaptive-metrics .gemini/skills/adaptive-metrics && 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 "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .gemini/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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 adaptive-metricsInstalls 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 adaptive-metrics -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/adaptive-metrics .github/skills/adaptive-metrics && 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 "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .github/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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 adaptive-metrics -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 adaptive-metrics --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/adaptive-metrics .opencode/skills/adaptive-metrics && 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 "adaptive-metrics" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/adaptive-metrics into .opencode/skills/adaptive-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptive-metrics", 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.
Facts
- Skill name
adaptive-metrics- GitHub stars
- 282
- Token cost
- ~1.3k tokens
- SKILL.md length
- 143 words
- Files
- 2 (incl. references)
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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 in 3 steps: Review + apply auto-recommendations → Hand-write a custom rule → Drop unused metrics entirely
- Investigating a high Mimir/Grafana Cloud bill
- SKILL.md covers Prerequisites, Common Workflows, Measure the impact and Resources
- Calls curl and jq; reaches adaptive-metrics.grafana.net and prometheus-prod-xx.grafana.net
What it does
Adaptive Metrics is an agent skill from grafana/skills, published by the product's own GitHub organization. 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, unused-metric detection, and Alloy remotewrite fallback. Use when investigating a high Mimir/Grafana Cloud bill, hunting high-cardinality labels (poduid, serviceinstanceid, version), pre-aggregating counters/gauges, dropping unused metrics, or measuring grafanacloudinstanceactiveseries before/after — even when the user says…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/api.md`).
It sits in DevOps & Cloud, covering Monitoring and alerting. It works with Grafana. The licence is Apache-2.0.
When your agent uses it
- Investigating a high Mimir/Grafana Cloud bill
- Hunting high-cardinality labels (poduid
- Serviceinstanceid
- Pre-aggregating counters/gauges
Example prompts
- “reduce cardinality”
- “too many series”
- “metrics spend”
- “/adaptive-metrics”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
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:
curljq
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:
adaptive-metrics.grafana.netprometheus-prod-xx.grafana.net
Also links to:
grafana.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Adaptive Metrics loads about 1.3k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 176 tokens; SKILL.md has 143 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.
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). 143 words, ~1,325 tokens.
Download SKILL.mdSave it as
.claude/skills/adaptive-metrics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- adaptive-metrics
- description
- 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, unused-metric detection, and Alloy remote_write fallback. Use when investigating a high Mimir/Grafana Cloud bill, hunting high-cardinality labels (`pod_uid`, `service_instance_id`, `version`), pre-aggregating counters/gauges, dropping unused metrics, or measuring `grafanacloud_instance_active_series` before/after — even when the user says "reduce cardinality", "too many series", "metrics spend", "active series count is exploding", or "drop the version label" without naming Adaptive Metrics.
- license
- Apache-2.0
Grafana Cloud Adaptive Metrics
Aggregation rules that pre-shrink high-cardinality metrics before storage — directly reduces active-series billing.
Prerequisites
- Grafana Cloud Metrics plan (any paid tier)
- API key with
metrics:write(for the Adaptive Metrics API —adaptive-metrics.grafana.net, Bearer auth) - For the verification queries: the metrics query endpoint (
prometheus-prod-XX.grafana.net) uses HTTP basic auth —<metrics_user>(numeric stack/instance ID) plus a token withmetrics:read— not the Bearer key - Access to Home → Adaptive Metrics in the Cloud portal
Common Workflows
1. Review + apply auto-recommendations
# 1. Pull the recommendation list (sorted by series-reduction impact)
curl -s -H "Authorization: Bearer <KEY>" \
"https://adaptive-metrics.grafana.net/api/v1/recommendations" \
| jq '.recommendations[] | {metric_name, current_series, projected_series, estimated_reduction_percent}'
# 2. Capture the baseline series count for the target metric
# (metrics query endpoint = basic auth, not the Bearer key)
curl -s -u "<metrics_user>:<metrics_token>" \
"https://prometheus-prod-XX.grafana.net/api/prom/api/v1/query?query=count({__name__=\"process_cpu_seconds_total\"})" \
| jq '.data.result[0].value[1]' # → e.g. "12480"
# 3. Apply the recommendation (or click Apply in the UI)
curl -s -X POST -H "Authorization: Bearer <KEY>" \
"https://adaptive-metrics.grafana.net/api/v1/recommendations/<ID>/apply"
# 4. Wait ~5 min. Verify — re-run the count query; expect a large drop.
# Also check the saving metric:
# grafanacloud_instance_active_series_dropped_by_aggregation_rulesRollback — delete the rule:
curl -s -H "Authorization: Bearer <KEY>" \
"https://adaptive-metrics.grafana.net/api/v1/rules" | jq '.rules[] | {id, metric_name}'
curl -s -X DELETE -H "Authorization: Bearer <KEY>" \
"https://adaptive-metrics.grafana.net/api/v1/rules/<RULE_ID>"
# Or in the UI: Rules → row → Disable2. Hand-write a custom rule
# 1. Sanity-check the metric is not used WITH that label in dashboards/alerts
grep -r 'process_cpu_seconds_total' dashboards/ alerts/ | grep -E 'version|go_version'
# Expect no hits → safe to drop.
# 2. Create the rule
curl -s -X POST -H "Authorization: Bearer <KEY>" -H "Content-Type: application/json" \
"https://adaptive-metrics.grafana.net/api/v1/rules" \
-d '{"rules":[{"metric_name":"process_cpu_seconds_total","match_type":"MATCH_TYPE_EXACT",
"drop_labels":["version","go_version"],
"aggregations":[{"type":"AGGREGATION_TYPE_SUM"}]}]}'
# 3. Verify — same count() query as above; series count should drop within 5 min.Full payloads (regex match, aggregation types, all caveats): references/api.md.
3. Drop unused metrics entirely
# 1. List unused metrics
curl -s -H "Authorization: Bearer <KEY>" \
"https://adaptive-metrics.grafana.net/api/v1/usage-analysis?filter=unused" | \
jq '.metrics[] | {metric_name, series_count, last_queried}'
# 2. Confirm not referenced in dashboards / alerts / recording rules
grep -r '<METRIC_NAME>' dashboards/ alerts/ recording-rules/
# 3. Add a write_relabel_config drop in Alloy (full block in references/api.md)
# Reload Alloy: curl -X POST http://localhost:12345/-/reload
# 4. Verify — the metric should no longer appear in series counts after ~10 min
curl -s -u "<metrics_user>:<metrics_token>" \
'https://prometheus-prod-XX.grafana.net/api/prom/api/v1/label/__name__/values' | jq '.data | index("<METRIC_NAME>")' # → nullMeasure the impact
# Total active series (billed unit)
grafanacloud_instance_active_series
# Series specifically dropped by Adaptive Metrics rules
grafanacloud_instance_active_series_dropped_by_aggregation_rulesRules take effect within ~5 minutes; full billing impact appears within an hour. The original high-cardinality samples keep flowing but the dropped labels no longer count toward billing.
Resources
© 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
SKILL.md and 1 other file (references) in skills/grafana-cloud/adaptive-metrics of grafana/skills.
- SKILL.md
- references/api.md
Open the folder on GitHubat commit 1ccacf2
Compare with similar skills
Adaptive Metrics 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 |
|---|---|---|---|---|---|---|
| Adaptive Metrics this skillgrafana/skills | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Mz Release SignoffMaterializeInc/materialize | 6.4k | — | ~7.2k | Automated safety check: Pass | Custom licence | |
| Axiom Dashboard Builderopenclaw/clawhub | 9.5k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Happy Infra Metrics and Grafanaslopus/happy | 24k | — | ~2k | Automated safety check: Notes | MIT | |
| Syncmetapawurb/hotpath-rs | 1.9k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Optimize Slurm TopologyNVlabs/alpasim | 1.3k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
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Sync changes from the hotpath, hotpath-macros and hotpath-drain crates to their meta counterparts (hotpath-meta, hotpath-macros-meta and hotpath-drain-meta).
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Questions about Adaptive Metrics
What does Adaptive Metrics do?
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…. Adaptive Metrics is an agent skill from grafana/skills, published by the product's own GitHub organization. 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, unused-metric detection, and Alloy remotewrite fallback.
When should I use Adaptive Metrics?
Adaptive Metrics fits situations like: investigating a high Mimir/Grafana Cloud bill; hunting high-cardinality labels (poduid; serviceinstanceid; pre-aggregating counters/gauges.
How do I install Adaptive Metrics in Claude Code?
Run `npx skills add grafana/skills --skill adaptive-metrics -a claude-code`. Or copy the skill folder (skills/grafana-cloud/adaptive-metrics in grafana/skills) into .claude/skills/adaptive-metrics in your project. Claude Code loads it when a task matches its description.
How do I install Adaptive Metrics in Codex?
Run `npx skills add grafana/skills --skill adaptive-metrics -a codex`. Or copy the skill folder (skills/grafana-cloud/adaptive-metrics in grafana/skills) into .agents/skills/adaptive-metrics in your project. Codex loads it when a task matches its description.
Can I use Adaptive Metrics 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 adaptive-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adaptive-metrics, .gemini/skills/adaptive-metrics, .github/skills/adaptive-metrics and .opencode/skills/adaptive-metrics in your project.
What does Adaptive Metrics need to run?
Going by SKILL.md and its folder, Adaptive Metrics needs the command-line tools its instructions call (curl and jq).
Does Adaptive Metrics access the network?
SKILL.md names 3 domains. In commands or code: adaptive-metrics.grafana.net and prometheus-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 Adaptive Metrics 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 Adaptive Metrics use?
Adaptive Metrics 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 Adaptive Metrics use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 841 tokens, read only when the agent opens those files.
What are the alternatives to Adaptive Metrics?
Skills that share tags, products or a category with Adaptive Metrics: Mz Release Signoff (MaterializeInc/materialize, 6.4k stars), Axiom Dashboard Builder (openclaw/clawhub, 9.5k stars), Happy Infra Metrics and Grafana (slopus/happy, 24k stars) and Syncmeta (pawurb/hotpath-rs, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Adaptive Metrics?
grafana (a GitHub organization, an official publisher) maintains it in grafana/skills, which has 282 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 8, 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.