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ChatGPT Import

Import and embed ChatGPT conversation history into OpenClaw's memory search database for easy archival and retrieval of past chats.

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High Signal

Import and embed ChatGPT conversation history into OpenClaw's memory search database for easy archival and retrieval of past chats.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/bulk_embed.py, scripts/convert_chatgpt.py, references/export-guide.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

ChatGPT History Import

Import your ChatGPT conversations into OpenClaw so they're searchable via memory search.

1. Export from ChatGPT

Follow references/export-guide.md to download your conversations.json.

2. Convert to Markdown

python3 scripts/convert_chatgpt.py \ --input /path/to/conversations.json \ --output /path/to/chatgpt-history Options: --min-messages N to skip trivial conversations (default: 2).

3. Embed into SQLite

export OPENAI_API_KEY=sk-... python3 scripts/bulk_embed.py \ --history-dir /path/to/chatgpt-history \ --db /path/to/chatgpt-memory.sqlite Options: --model, --batch-size, --max-workers, --chunk-size, --api-key.

4. Configure OpenClaw

Add as an extra search path in your OpenClaw config: memorySearch: extraPaths: - /path/to/chatgpt-memory.sqlite Then restart the gateway: openclaw gateway restart

Important Notes

OpenAI API key required. The embed script sends conversation text to api.openai.com for embedding. If your conversations contain secrets, consider filtering them out first or using a scoped API key. No key material stored. The generated DB does not store your API key. Back up first. The embed script will refuse to overwrite an existing output DB. Embeddings cost money โ€” but it's cheap. ~2,400 conversations cost ~$0.15 with text-embedding-3-small.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs2 Scripts
  • SKILL.md Primary doc
  • references/export-guide.md Docs
  • scripts/bulk_embed.py Scripts
  • scripts/convert_chatgpt.py Scripts