skills.rest
AesopScott
AesopScottCOMMUNITY
Explore all skills by this author →
GitHub

observe-agent-phoenix

Analyze traces, OpenInference, OpenTelemetry, datasets, and experiments with Phoenix in MAPS Phase 7.

1|2|Updated Jun 29, 2026
Search Tags:#instrumentation#performance monitoring#trace analysis#maps phase 7#phoenix analysis
One-click install
npx skills add https://github.com/AesopScott/central --skill observe-agent-phoenix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: observe-agent-phoenix
Source: https://github.com/AesopScott/central/tree/main/local-client/app-content/mindshare/skills/archive/observe-agent-phoenix
Command: npx skills add https://github.com/AesopScott/central --skill observe-agent-phoenix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill addresses the need for a comprehensive observation and analysis process in Phase 7 of MAPS, using Phoenix to enhance the base observe-agent workflow.

Core Features & Use Cases

  • Phoenix Integration: Leverages Phoenix for enhanced observation and analysis.
  • Workflow Analysis: Incorporates traces, instrumentation, datasets, and experiments for a deep analysis.
  • Use Case: When needing to apply a robust observation workflow with Phoenix's advanced capabilities for traces, OpenInference, OpenTelemetry, and more.

Quick Start

To initiate an observe run with Phoenix, type /observe-agent+phoenix after completing Phase 6.

Frequently Asked Questions about observe-agent-phoenix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze OpenTelemetry traces for MAPS Phase 7 performance reviews?▼

You initiate a Phoenix observation run by completing Phase 6 first, then typing the `/observe-agent+phoenix` command. This triggers the workflow to process traces, datasets, and experiments for detailed analysis.

Can I use Phoenix instrumentation for issue diagnostics in the MAPS framework?▼

Yes, Phoenix is explicitly designed to enhance the observe-agent workflow for MAPS Phase 7. It leverages OpenInference and OpenTelemetry datasets to provide advanced capabilities for in-depth issue diagnostics and trace analysis.

What is the best way to process OpenInference datasets and experiments for trace analysis?▼

The best way to process OpenInference datasets and experiments is by leveraging Phoenix within the MAPS observe-agent workflow. This approach enables robust observation and detailed reporting for engineers performing diagnostics.

Do I need to complete Phase 6 before running Phoenix trace analysis in MAPS?▼

Yes, completing Phase 6 of MAPS is required before initiating the Phoenix observation run. You trigger the Phoenix analysis workflow by typing the `/observe-agent+phoenix` command after finishing the preceding phase.

Why use Phoenix for MAPS observe-agent workflows instead of standard trace analysis?▼

Use Phoenix for MAPS observe-agent workflows because it enhances standard trace analysis with advanced capabilities for processing OpenInference, OpenTelemetry datasets, and experiments. This provides a more robust, comprehensive observation process.

Related Skills

Explore More Software Engineering Skills→
ricablericable

phoenix-observability

Trace and evaluate LLM executions with Phoenix observability.

Community
Advanced
Arize-aiArize-ai
11.0k

phoenix-cli

Fetch traces, inspect spans, and review experiments via the Phoenix CLI.

Official
Intermediate
Arize-aiArize-ai
11.0k

arize-phoenix

Capture AI application traces, evaluations, and prompts with OpenTelemetry.

Official
Advanced
Danik911Danik911
1

langfuse-integration

Migrate observability from Phoenix to Langfuse Cloud EU with ALCOA+ trace attribution.

Community
Advanced