restore-history-from-file

You can restore conversational history from a JSONL file by filtering and extracting user and assistant text turns, excluding tool calls, results, and internal thinking. This skill requires jq or Python for JSON parsing and filtering.

Yes, you can extract only user and assistant text turns from Claude Code or Codex agent transcripts. The skill filters out tool calls, results, and internal thinking to restore clean conversational context.

Yes, you need either jq or Python to parse JSONL transcript files for context restoration. The skill relies on these dependencies to handle JSON parsing and filtering of user and assistant text turns.

The best way to resume a conversation from a saved agent transcript is to use the restore-history-from-file command with the path to your history.jsonl file. This restores full conversation context by extracting text turns.

Yes, restoring conversation context from JSONL excludes tool calls, tool results, and internal thinking. The skill specifically filters and extracts only user and assistant text turns to ensure clean conversational history.

A limitation when extracting conversation history from JSONL files is that tool calls, tool results, and internal thinking are excluded from the restored context. Only user and assistant text turns are preserved for administrative workflows.