Clawdio transforms Twitter Spaces and voice conversations into structured, machine-readable intelligence for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdio-twitter
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 clawdio-twitter 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 Clawdio?
Clawdio is a specialized intelligence tool designed to bridge the gap between spoken audio and actionable data. It focuses on extracting high-value insights from Twitter Spaces, podcasts, and long-form voice content, which often contain expert commentary and crypto alpha not found in written format. By incorporating this into your library of Openclaw Skills, you can empower AI agents to process voice-only discussions into structured Markdown reports and speaker-attributed transcripts.
Operating on the x402 protocol, Clawdio allows for seamless, account-free access to its intelligence catalog via the Base Mainnet. It is particularly valuable for developers building agents that require real-time market sentiment or deep dives into technical discussions. As one of the most innovative Openclaw Skills, it handles the heavy lifting of audio transcription and synthesis, providing clean, deterministic data for downstream processing.
Clawdio Use Cases
- Extracting crypto alpha and market signals from live Twitter Spaces discussions.
- Generating speaker-attributed quotes with precise timestamps for research documentation.
- Analyzing market sentiment and project mentions across multiple expert voice panels.
- Building speaker graphs and networking maps from participant metadata.
- Cross-referencing insights from audio-only content with written reports using Openclaw Skills.
How Clawdio Works
- Browse the available catalog of processed Twitter Spaces and voice content using a simple GET request.
- Select a specific report ID based on the provided metadata, abstracts, and pricing.
- Initiate a purchase via the x402 protocol, which triggers a payment requirement from the server.
- The agent wallet signs and sends the required USDC payment on the Base Mainnet automatically.
- Upon settlement, the system returns a complete set of machine-readable artifacts, including the metadata, report, and full transcript.
Clawdio Setup
To start using this among your Openclaw Skills, ensure you have a wallet compatible with x402 (such as Coinbase AgentKit, CDP SDK, or @x402/fetch) funded with USDC on Base Mainnet. No API keys or account registrations are required.
# Browse the available intelligence catalog
curl https://clawdio.vail.report/catalog
# Purchase and retrieve a specific intelligence report
curl https://clawdio.vail.report/catalog/purchase?id={uuid}
Clawdio Data Schema & Taxonomy
The skill provides a structured JSON response containing three primary artifacts: Metadata, a Structured Report, and a Full Transcript. This ensures compatibility with various Openclaw Skills workflows.
| Attribute | Description |
|---|---|
| Metadata | Includes title, date, duration, listener count, and full participant list with Twitter handles. |
| Structured Report | Markdown content containing abstracts, key insights, hot takes, and alpha signals. |
| Full Transcript | Speaker-attributed, timestamped verbatim content formatted for LLM processing. |
| Market Sentiment | Assessment of overall sentiment (e.g., Bullish) and project-specific mentions. |
Clawdio Advanced Features
- Multi-agent support via the decentralized x402 payment protocol.
- Precise speaker attribution and timestamping for automated quote sourcing and verification.
- Deterministic formatting optimized for LLM context injection and RAG pipelines.
- Seamless integration with the broader ecosystem of Openclaw Skills for automated market research.
- Access to historical participant lists and listener counts for social influence mapping.
SKILL.md
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