A comprehensive integration for managing Timeless meeting data, transcripts, and capturing external media for AI analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install timeless
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install timeless using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Timeless?
The Timeless skill allows users to programmatically interact with their meeting data, transcripts, and AI-generated documents via the Timeless platform. By leveraging this integration within Openclaw Skills, developers can automate the retrieval of meeting summaries, organize recordings into dedicated rooms, and chat directly with an AI agent about specific conversation details. This skill is designed to transform raw audio and video into a structured, searchable knowledge base for teams and individuals.
Beyond simple meeting management, it provides robust tools for capturing external content. It can ingest YouTube videos and podcast episodes, routing them through the Timeless transcription engine to provide the same high-quality speaker attribution and AI insights available for standard meetings. This makes it an essential tool for researchers and power users who need to synthesize information from multiple media sources.
Timeless Use Cases
- Search and read speaker-attributed transcripts from historical meetings.
- Automatically summarize meeting action items and key decisions using AI artifacts.
- Capture and transcribe podcast episodes or YouTube videos for research and documentation.
- Organize scattered recordings into thematic rooms for better project management.
- Build automated workflows that react to new completed meetings via polling patterns.
How Timeless Works
- Connect to the Timeless API using a secure access token managed via your environment configuration.
- Query the system for meetings or rooms to retrieve specific space and conversation identifiers.
- Request transcript data which is returned with precise speaker IDs and timestamps for readability.
- Process external URLs from YouTube or Podcasts by downloading and uploading them to the Timeless storage pipeline.
- Engage with the AI agent by initiating chat threads within a specific space to query contents or generate new insights.
Timeless Setup
To get started with this skill in Openclaw Skills, you must first obtain an access token from my.timeless.day/api-token. Once obtained, configure your environment:
openclaw config patch env.vars.TIMELESS_ACCESS_TOKEN=<your_token>
For media capture features, ensure yt-dlp is installed on your system path to handle video and audio extraction.
Timeless Data Schema & Taxonomy
The skill interacts with a structured data model centered around Spaces and Conversations. Data is organized as follows:
| Object | Key Fields | Description |
|---|---|---|
| Space | uuid, title, conversations[] |
Represents a meeting or a persistent room containing recordings. |
| Conversation | uuid, status, primary_conversation_uuid |
An individual recording or transcript instance. |
| Transcript | items[], speakers[] |
Detailed text blocks mapped to specific speaker identities. |
| Artifacts | type, content.body |
AI-generated documents like summaries or bulleted notes. |
Timeless Advanced Features
- Smart resolution of Timeless share URLs through Base64 decoding of space and host IDs.
- Multi-source media capture pipeline supporting YouTube, Spotify metadata, and RSS podcast feeds.
- Automated state-based polling patterns to trigger external workflows (e.g., Slack notifications) upon meeting completion.
- Support for private, workspace-shared, and public-access space levels to ensure proper data visibility.
- Programmable room management for dynamically adding or removing resources from specific collections.
SKILL.md
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