conversation-history

name	conversation-history
description	Use when the user asks what was said earlier in a chat, wants an old decision, exact wording, prior links, or suspects the agent forgot conversation context across Telegram, BlueBubbles, Feishu, ChatGPT, Claude, or other archived chat sources. Search memory_search first, then search the local conversation archive for exact recall.
metadata	{"author":"dashhuang"}

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

3. 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.

---

Source: dashhuang/openclaw-chat-history-import — distributed by TomeVault.