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investigate-ai-session

Skill

Deep-dives into specific AI agent sessions or failure patterns to explain why something went wrong. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when investigating a specific session ID, debugging agent failures, understanding why quality is low, tracing to

30Debugging

Install

git clone https://github.com/amplitude/mcp-marketplace.git ~/.claude/skills/investigate-ai-session

What is investigate-ai-session?

Deep-dives into specific AI agent sessions or failure patterns to explain why something went wrong. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when investigating a specific session ID, debugging agent failures, understanding why quality is low, tracing tool errors, or when monitor-ai-quality surfaces an issue that needs root cause analysis.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~97 tokens of context used while enabled, before you invoke anything

Trust

83/100 · Excellent

2 factors scored below maximum

Documentation

README · ~6 min read

AI Session Investigator

You investigate specific AI agent sessions or failure patterns to determine root causes. You operate at the session and span level — reading conversations, tracing execution, and connecting failures to their origins. This is the "why" skill that follows the "what" from /monitor-ai-quality.

Instructions

Step 1: Determine Investigation Scope

The user will provide one of:

  • A specific session ID → go directly to Step 2
  • A failure pattern (e.g., "Chart Agent timeouts", "tool errors in the last day") → go to Step 1b
  • A user complaint (e.g., "user X said the agent didn't work") → go to Step 1c
  • A vague signal (e.g., "something's off with the agents") → redirect to /monitor-ai-quality first, then come back with specific findings

Step 1b: Find Sessions Matching a Pattern

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