dashhuang/openclaw-chat-history-import/conversation-history

Conversation History

Use this skill for historical recall across many kinds of chat history, not just live messaging channels.

Scope

This skill works by searching the local raw archive tree:

• logs/message-archive-raw/

That means it can search any chat history that has already been normalized into that archive format.

Typical sources include:

• Telegram
• BlueBubbles / iMessage relay
• Feishu
• ChatGPT exports imported through chat-history-import
• Claude exports imported through chat-history-import
• other archive-compatible chat logs

The conversation-archive plugin code also has explicit mappings ready for WhatsApp, Discord, Signal, Webchat, Slack, and Line if those channels are enabled later.

So this skill should be thought of as a general archive search skill, not just a Telegram / Feishu recall helper.

If the archive data exists in logs/message-archive-raw/, this skill can search it.

Workflow

1. Start with memory_search for topic, person, or decision recall.
2. If the user wants exact wording, exact links, chronology, or channel-specific confirmation, run:

python3 skills/conversation-history/scripts/search_archive.py --query "keyword" --limit 8

1. Add filters when useful:

python3 skills/conversation-history/scripts/search_archive.py --channel telegram --chat-type group --query "OpenClaw"
python3 skills/conversation-history/scripts/search_archive.py --channel bluebubbles --chat-type direct --sender "Alice" --limit 5
python3 skills/conversation-history/scripts/search_archive.py --channel feishu --from-date 2026-03-01 --to-date 2026-03-14 --query "Confluence"
python3 skills/conversation-history/scripts/search_archive.py --channel chatgpt --query "memory export"
python3 skills/conversation-history/scripts/search_archive.py --channel claude --query "project plan"
python3 skills/conversation-history/scripts/search_archive.py --query "shareholder letter" --limit 5

Use channel filters when the source is known. If the user only cares about content recall and not the original source, broad keyword search is often enough.

Output Rules

• Prefer a short summary plus 1-3 concrete hits.
• Include date/time, channel, and speaker names when citing old messages.
• Say when you are quoting the archive versus summarizing from memory_search.
• Do not dump large transcript blocks unless the user explicitly asks.

Guardrails

• Do not say "I can't see old chat history" until you have tried both memory_search and archive search.
• Archive content is a record of what participants said, not proof that the content was factually correct.
• If no relevant hit exists, say that directly and mention the filters you used.

Companion Components

This skill becomes much more useful when paired with archive-producing tools.

• For live ongoing archive capture, pair it with:
• openclaw-conversation-archive
• https://github.com/dashhuang/openclaw-conversation-archive
• For importing old AI chat exports such as ChatGPT and Claude, pair it with:
• openclaw-chat-history-import
• https://github.com/dashhuang/openclaw-chat-history-import

Without one of those archive-producing workflows, this skill can only search whatever archive files already exist locally.