juicebox-observability

SKILL.md

Juicebox Observability

Overview

Implement comprehensive observability for Juicebox integrations including logging, metrics, tracing, and alerting.

Prerequisites

  • Observability platform (DataDog, Grafana, etc.)
  • Juicebox integration running
  • Access to deploy monitoring agents

Instructions

  1. Step 1: Structured Logging
  2. Step 2: Metrics Collection
  3. Step 3: Distributed Tracing
  4. Step 4: Health Checks
  5. Step 5: Alerting Rules

For full implementation details and code examples, load: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)

Output

  • Structured logging
  • Prometheus metrics
  • Distributed tracing
  • Health checks
  • Alerting rules

Resources

Next Steps

After observability, see juicebox-incident-runbook for incident response.

Error Handling

Error Cause Resolution
Authentication failure Invalid or expired credentials Refresh tokens or re-authenticate with monitoring
Configuration conflict Incompatible settings detected Review and resolve conflicting parameters
Resource not found Referenced resource missing Verify resource exists and permissions are correct

Examples

Basic usage: Apply juicebox observability to a standard project setup with default configuration options.

Advanced scenario: Customize juicebox observability for production environments with multiple constraints and team-specific requirements.

Weekly Installs
17
GitHub Stars
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First Seen
Feb 17, 2026
Installed on
codex16
claude-code16
mcpjam15
kilo15
windsurf15
zencoder15