clawdio

clawdio extends your AI assistant with the ability to analyze Twitter Spaces and voice conversations to extract market intelligence, crypto alpha, sentiment analysis, and speaker-attributed insights. Transforms spoken audio into structured reports, full transcripts, and machine-readable metadata. Use when you need intelligence from Twitter Spaces, podcast discussions, or any long-form voice content — especially for crypto markets, AI trends, and expert commentary that only exists in audio. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using clawdio as its underlying capability.

clawdio works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install clawdio once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

To install clawdio, copy the skill folder to `~/.claude/skills/clawdio-twitter/` for use across all your projects, or `.claude/skills/clawdio-twitter/` for a single project. Restart Claude and the skill is immediately active — invoke it with `/clawdio-twitter` or just describe your goal and the AI will pick it up automatically.

clawdio has 960 installs and is part of the growing Design & Creative skill ecosystem on DiscoverAISkills. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.