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from openclaw-chat-history-import139
Import and normalize external chat exports (ChatGPT, Claude, Telegram, Slack) into OpenClaw's archive and generate staged daily memory and MEMORY.md candidates
This skill ingests external chat export packages (ChatGPT, Claude, Telegram Desktop, Slack, JSON/JSONL logs), normalizes them into OpenClaw's conversation-archive JSONL format, validates the resulting archive, and stages distilled daily memory plus MEMORY.md candidates for human review. Scripts handle deterministic tasks (inspect, normalize, validate, write artifacts); the model-driven steps focus on semantic distillation of daily memory and long-term memory candidates.
Use when you need to backfill historical chat records into an OpenClaw workspace, create audit-ready daily memory for past dates, or generate MEMORY.md candidates from exported chat archives. Ideal for migrations, compliance audits, or recovering historical conversations.
Works with agents that can run Python scripts and model-assisted review (Claude/Code, Gemini CLI, Codex-style agents that support script execution and file I/O).
This skill has not been reviewed by our automated audit pipeline yet.
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