SKILL

Prometheus Configuration

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Published by @Seth Hobson·0 agent reads / 30d·0 saves·

Prometheus Configuration

Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.

Purpose

Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.

When to Use

  • Set up Prometheus monitoring
  • Configure metric scraping
  • Create recording rules
  • Design alert rules
  • Implement service discovery

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

  1. Use consistent naming for metrics (prefix_name_unit)
  2. Set appropriate scrape intervals (15-60s typical)
  3. Use recording rules for expensive queries
  4. Implement high availability (multiple Prometheus instances)
  5. Configure retention based on storage capacity
  6. Use relabeling for metric cleanup
  7. Monitor Prometheus itself
  8. Implement federation for large deployments
  9. Use Thanos/Cortex for long-term storage
  10. Document custom metrics

Troubleshooting

Check scrape targets:

curl http://localhost:9090/api/v1/targets

Check configuration:

curl http://localhost:9090/api/v1/status/config

Test query:

curl 'http://localhost:9090/api/v1/query?query=up'

Related Skills

  • grafana-dashboards - For visualization
  • slo-implementation - For SLO monitoring
  • distributed-tracing - For request tracing

Bundled with this artifact

2 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

More on the bench

SKILL▲0

Xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

w95
software-engineering+2
⊙ 0
SKILL▲0

Docx

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

w95
software-engineering+1
⊙ 0
SKILL▲0

Ticket Triage

Triage incoming support tickets by categorizing issues, assigning priority (P1-P4), and recommending routing. Use when a new ticket or customer issue comes in, when assessing severity, or when deciding which team should handle an issue.

w95
customer-success+2
⊙ 0