buildlogRecord, export, and share your AI coding sessions as replayable buildlogs
Record your OpenClaw coding sessions and share them on buildlog.ai.
The buildlog skill captures your AI-assisted coding sessions in real-time, creating replayable recordings that can be shared with others. Perfect for:
Add to your OpenClaw configuration:
{
"skills": {
"buildlog": {
"apiKey": "your-api-key",
"autoUpload": false,
"defaultPublic": true,
"includeFileContents": true,
"maxFileSizeKb": 100
}
}
}
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| apiKey | string | โ | Your buildlog.ai API key (optional for public uploads) |
| autoUpload | boolean | false | Automatically upload when recording stops |
| defaultPublic | boolean | true | Make buildlogs public by default |
| includeFileContents | boolean | true | Include file content snapshots |
| maxFileSizeKb | number | 100 | Maximum file size to include |
The skill emits the following events:
buildlog:started โ Recording beganbuildlog:stopped โ Recording endedbuildlog:paused โ Recording pausedbuildlog:resumed โ Recording resumedbuildlog:uploaded โ Buildlog uploaded successfullybuildlog:error โ An error occurredYou: Start a buildlog "Building a REST API"
Assistant: ๐ด Recording started: "Building a REST API"
You: Create an Express server with TypeScript
Assistant: [creates files...]
You: Stop the buildlog
Assistant: Recording stopped. 12 exchanges captured.
Would you like to upload to buildlog.ai?
You: Export this session as a buildlog
Assistant: Exported 24 exchanges as buildlog.
Title: "Untitled Session"
Ready to upload?
Generated Mar 1, 2026
Educators and trainers can use the buildlog skill to create interactive coding tutorials by recording their AI-assisted sessions. This allows learners to replay step-by-step implementations, making complex concepts like building a REST API or debugging TypeScript errors more accessible and engaging.
Development teams can record coding sessions to document architectural decisions and implementation details in real-time. This creates living documentation that can be shared internally, aiding in onboarding new developers and maintaining consistency across projects.
Developers can use the skill to record debugging sessions, capturing the thought process and actions taken to resolve issues. These recordings can be reviewed by peers for collaborative problem-solving or used as references for similar future problems.
Open source contributors can record their AI-assisted coding sessions to transparently share their work on platforms like GitHub. This helps build trust by showing the development process, making it easier for maintainers to review and integrate contributions.
Offer a free tier with basic recording and public sharing, while charging for premium features like private buildlogs, advanced analytics, and team collaboration tools. Revenue comes from monthly subscriptions, targeting individual developers and small teams.
Sell enterprise licenses to large organizations for internal use, including features like enhanced security, custom integrations, and dedicated support. This model focuses on scalability and compliance needs in corporate environments.
Create a marketplace where users can sell or share premium buildlogs, such as tutorials or code templates. Revenue is generated through transaction fees or subscriptions for access to curated content, leveraging community contributions.
๐ฌ Integration Tip
Ensure the API key is securely stored in configuration and test auto-upload settings in a development environment before production use to avoid unintended data exposure.
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