session-logs

To search JSONL session logs, you can parse the files using jq to locate and extract specific user and assistant messages based on keywords, dates, or user identifiers. This surfaces relevant context from older conversations.

Yes, you can summarize prior messages across multiple sessions by cross-referencing historical conversation records. This allows you to understand long-running dialogues and audit past decisions effectively.

Parsing JSONL conversation logs with jq involves applying the skill to index sessions and extract structured data like timestamps and costs. This approach presents user-friendly results while validating input and handling missing data.

Yes, auditing decisions in long-running conversations is a primary use case. By extracting user and assistant messages with their associated timestamps, you can analyze the history and context of past interactions.

When analyzing historical session logs, the process explicitly validates input and handles missing data to ensure accurate results. This prevents gaps in your JSONL records from disrupting the cross-referencing of prior messages.

From conversation history logs, you can extract user and assistant messages, cost data, and timestamps. These insights help prepare summaries and provide necessary context for current questions based on past interactions.