| name | metrics-etl |
| description | DEPRECATED — This skill is no longer maintained. Prometheus and Grafana infrastructure was never implemented. Use local JSON metrics analysis instead. |
| license | Proprietary |
| compatibility | Designed for agentic-engineers framework |
| metadata | {"author":"agentic-engineers","version":"1.0","category":"monitoring","role":"orchestrator","status":"deprecated","schedule":"0 * * * *"} |
DEPRECATED
This skill is no longer maintained. External infrastructure (Prometheus + Grafana) described here was never built and has been removed.
Use instead:
- Local JSON metrics in
~/.claude/metrics/
- Direct analysis via scripts in
operations/
Deprecation Notice
This skill is no longer maintained.
The infrastructure it was designed to support (Prometheus + Grafana dashboards) was never implemented.
For metrics analysis, use:
- Local JSON files in
~/.claude/metrics/
- Direct Python analysis scripts
- Manual reporting via scripts in
operations/
Scripts
metrics-etl.py — Main ETL pipeline (pure data transformation, no AI model)
Self-Improvement
This skill participates in the framework's continuous improvement cycle
(see skill-improvement-feedback).
When you use metrics-etl during a task, include a skill_feedback entry
in your HANDBACK to help improve it over time:
skill_feedback:
- skill_name: metrics-etl
effectiveness_score: 0.85
clarity_score: 0.90
coverage_gaps:
- "Specific scenario the skill did not address"
improvement_suggestions:
- "Concrete change that would have helped"
usage_context: "One sentence on how you used this skill"
Positive feedback is as valuable as critical feedback. Three or more
feedback items for this skill automatically trigger an improvement task.
