qa-observability
This skill provides concrete patterns for integrating observability into QA workflows, covering OpenTelemetry instrumentation, SLO/SLI definitions, trace-based debugging, and cost-aware monitoring. It offers specific guidance on tools like Jaeger, Prometheus, and Grafana, with practical decision trees and anti-pattern warnings.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install vasilyu1983-ai-agents-public-qa-observability
Repository
Skill path: frameworks/shared-skills/skills/qa-observability
This skill provides concrete patterns for integrating observability into QA workflows, covering OpenTelemetry instrumentation, SLO/SLI definitions, trace-based debugging, and cost-aware monitoring. It offers specific guidance on tools like Jaeger, Prometheus, and Grafana, with practical decision trees and anti-pattern warnings.
Open repositoryBest for
Primary workflow: Run DevOps.
Technical facets: DevOps, Testing.
Target audience: DevOps teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: vasilyu1983.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install qa-observability into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/vasilyu1983/AI-Agents-public before adding qa-observability to shared team environments
- Use qa-observability for devops workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.