Search archived session JSONL logs to recover prior conversation context.
npx skills add https://github.com/tiancaiamao/ai --skill session-logs-tiancaiamao
Please help me install this Agent Skill. Skill: session-logs Source: https://github.com/tiancaiamao/ai/tree/main/skills/session-logs Command: npx skills add https://github.com/tiancaiamao/ai --skill session-logs-tiancaiamao
This Skill helps you recover and analyze information from your own past conversation sessions when the details are no longer in immediate context.
Ask the skill to search your archived session logs for the relevant session, extract the messages you need, and summarize any matching context or costs.
High-intent search queries and answers about installing and using this skill.
To search past conversation history, the Skill scans archived JSONL session logs using jq and rg to recover prior context and assistant responses. It filters message roles and matches keywords across your saved chat transcripts to locate specific discussions.
Yes, you can extract specific message types from JSONL session logs. By parsing JSONL records with jq, you can pull only user messages, assistant responses, or tool usage data for focused review and analysis of that specific session.
Yes, you need both jq and rg installed to analyze archived session logs. These dependencies are required to parse JSONL records, filter message roles, and scan large conversation histories efficiently across your saved agent session directories.
The best way to generate a cost summary from conversation logs is to parse the archived JSONL session files. This allows you to summarize message counts, timestamps, and accumulated costs across one session or your entire chat history archive.
You find a specific session file by date or size by scanning your session archive directory. This allows you to locate the exact conversation session files needed based on their chronological timestamps or file size attributes for quick retrieval.
When scanning large JSONL histories for prior context, the primary limitation is efficiency. Parsing very large transcript files requires tools like jq and rg to filter message roles and scan records quickly without overwhelming system resources.
openoctaSearch and analyze past session logs in JSONL files using jq and rg.
akiselevAnalyze Claude Code JSONL history logs to identify tool invocations and usage patterns.
dingdyanSearch and analyze local session log JSONL files for historical answers.
ai-in-pmSearch and analyze conversation history in JSONL session log files.
