session-logs

To search session logs for keywords, this skill uses jq to scan all stored JSONL conversation history files. It retrieves matching references and generates a concise, structured summary of relevant user messages and assistant responses.

Yes, you can filter conversation history by applying rules based on timestamp, session ID, and user or assistant roles. This allows you to isolate specific interactions for targeted log-analysis, debugging, and auditing past agent sessions.

jq processes JSONL log-analysis by querying structured conversation-history files line by line. It identifies specified keywords across all stored session logs and applies filtering rules to extract matching excerpts and counts.

The best way to summarize user messages from session logs is using jq filtering to extract relevant interactions. This skill generates a concise, structured summary including counts, excerpts, and session IDs from your JSONL conversation history.

Yes, this log-analysis skill returns results in a compact, parseable format suitable for downstream analytics. The output includes structured counts, text excerpts, and session IDs extracted from the filtered JSONL conversation history.

No external dependencies are required to search and analyze JSONL session logs. The skill operates independently using jq to parse conversation history, filter by timestamp or role, and summarize relevant messages.