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Conversation History

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dashhuang
conversation-history

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.

Overview

Publisherdashhuang
Repositoryopenclaw-chat-history-import
Skill nameconversation-history
Stars
143
Forks
8
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dashhuang on GitHub. Read the source before you install it.

Installation

Install the Conversation History AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dashhuang/openclaw-chat-history-import/tree/main/conversation-history
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dashhuang/openclaw-chat-history-import.git /tmp/openclaw-chat-history-import
mkdir -p .claude/skills
cp -r /tmp/openclaw-chat-history-import/conversation-history .claude/skills/conversation-history
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conversation History in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Conversation History on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Conversation History is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:
bash
python3 skills/conversation-history/scripts/search_archive.py --query "keyword" --limit 8
  1. Add filters when useful:
bash
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.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Conversation History AI skill do?

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.

Why use Conversation History on TypingMind?

Because you install it once and use it with any model. Conversation History is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Conversation History in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dashhuang/openclaw-chat-history-import/tree/main/conversation-history. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Conversation History?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Conversation History?

As many as you like. As long as a model supports skills, you can use Conversation History with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Conversation History AI skill free?

Yes. It is published on GitHub by dashhuang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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