Cx Cost Optimization skill: what it does and how to install it
Analyses Coralogix data usage, billing metrics, TCO policies, retention and archive settings to identify ways to reduce observability costs.
Summary generated from the skill's documentation.
Install
$ npx skills add coralogix/cx-cli --skill cx-cost-optimizationRun it in a terminal. If your agent is already running, start a new session so it picks the skill up.
About this skill
What it does. Uses the Coralogix CLI to inspect usage, billing metrics, TCO policies, retention and archive configuration, then prioritises potential cost changes. It requires checking usage capabilities before building authoritative billable-usage queries and verifies settings after approved changes.
When to use it. For investigating Coralogix data costs, usage trends or anomalies, and evaluating ways to reduce spend. Changes to policies, retention or archives require user approval.
History
Repo stars
124+3 since 5 Oct 2026
Stars are counted for the whole repository, which holds 2 skills.
Show as a table
| Date | Repo stars |
|---|---|
| 26 Oct 2026 | 124 |
| 25 Oct 2026 | 124 |
| 24 Oct 2026 | 124 |
| 23 Oct 2026 | 124 |
| 22 Oct 2026 | 124 |
| 21 Oct 2026 | 124 |
| 20 Oct 2026 | 124 |
| 19 Oct 2026 | 124 |
| 18 Oct 2026 | 124 |
| 17 Oct 2026 | 124 |
| 16 Oct 2026 | 124 |
| 15 Oct 2026 | 123 |
| 14 Oct 2026 | 123 |
| 13 Oct 2026 | 123 |
| 12 Oct 2026 | 122 |
| 11 Oct 2026 | 122 |
| 10 Oct 2026 | 122 |
| 9 Oct 2026 | 121 |
| 8 Oct 2026 | 121 |
| 7 Oct 2026 | 121 |
| 6 Oct 2026 | 121 |
| 5 Oct 2026 | 121 |
Installs
3.3k+304 since 19 Oct 2026
Installs via skills.sh
Show as a table
| Date | Installs |
|---|---|
| 26 Oct 2026 | 3,330 |
| 25 Oct 2026 | 3,283 |
| 24 Oct 2026 | 3,268 |
| 23 Oct 2026 | 3,230 |
| 22 Oct 2026 | 3,161 |
| 21 Oct 2026 | 3,105 |
| 20 Oct 2026 | 3,048 |
| 19 Oct 2026 | 3,026 |
Similar skills
- GKE Cost AnalysisAnalyses Google Kubernetes Engine costs across clusters, namespaces and workloads using BigQuery billing exports and live utilisation metrics.
- Cohort AnalysisAnalyses cohort data with pandas and numpy to reveal retention curves, feature adoption trends and segment-level engagement patterns.
- Customer Churn SignalsBuilds and validates leading churn indicators from subscription account activity, product usage and support data into a ranked signal register.