instrumentation-planning
OfficialTiered observability planning for AI agents.
Software Engineering#observability#instrumentation#cost-tracking#LLM-tracing#tiered-framework#trace-planning#multi-agent-coordination
Authornexus-labs-automation
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Plan and standardize what to measure in AI agent systems using a tiered, outcome-focused observability framework. It helps teams define metrics, spans, and attribution across foundation, core tracing, context, multi-agent coordination, and evaluation.
Core Features & Use Cases
- Tiered implementation framework (Foundation to Evaluation) for scalable observability.
- Span naming and attribute conventions to ensure consistent instrumentation across teams.
- Sampling guidance, error handling, and production-level guardrails to improve reliability.
Quick Start
Outline an observability plan for a new AI agent system, starting with foundation metrics and progressing through multi-agent coordination and evaluation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: instrumentation-planning Download link: https://github.com/nexus-labs-automation/agent-observability/archive/main.zip#instrumentation-planning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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