Session Replay & Trace Analysis FAQs

Question 1

Does this skill help reduce my API usage costs?

Accepted Answer

By identifying high token consumption patterns and redundant tool calls, the skill provides specific recommendations to optimize your prompts and tool usage for better efficiency.

Question 2

Which files does this skill need to function?

Accepted Answer

This skill specifically analyzes the .jsonl files generated by Claude Code in the .claude-trace directory, which contain the raw request and response data from the Anthropic API.

Question 3

Can it detect specific API errors like rate limits?

Accepted Answer

Yes, it categorizes errors into groups like Rate Limits (429), Token Limit Exceeded, and Tool Timeouts, offering advice on how to mitigate each specific type.

Question 4

How does Session Replay differ from the standard /transcripts command?

Accepted Answer

While the /transcripts command focuses on conversation content and context restoration, Session Replay analyzes low-level API trace data, providing metrics on latency, token counts, and technical tool failures.

Question 5

Can I use this skill to compare performance across multiple sessions?

Accepted Answer

Yes, the skill includes a comparison action that aggregates metrics from your last several sessions to help you identify trends, efficiency gains, or increasing error rates.

Session Replay & Trace Analysis

Key Features

Use Cases

Session Replay & Trace Analysis

Key Features

Use Cases