ai-observability-and-metrics
CommunityMonitor and trace AI agent behavior.
Authorroaming-rockenfels
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need to understand and debug the internal workings of the AI agent by implementing robust observability through metrics and tracing.
Core Features & Use Cases
- Prometheus Metrics: Define and instrument counters, histograms, and gauges for AI agent actions, durations, and states.
- Braintrust Tracing: Implement detailed tracing spans for requests, tool calls, verification tiers, and LLM interactions.
- Use Case: When developing a new AI tool integration, use this Skill to add metrics that track the success rate of tool calls and traces that show the latency of each step in the tool execution process, enabling performance analysis and issue identification.
Quick Start
Implement Prometheus metrics for AI agent requests and Braintrust traces for tool calls.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-observability-and-metrics Download link: https://github.com/roaming-rockenfels/ghostfolio/archive/main.zip#ai-observability-and-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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