Descriptions:
Riley Brown shares a detailed walkthrough of seven practical skills he has built into his OpenClaw AI agent after a full week of development, with the agent managing content operations across 2.5 million followers on 15 accounts from a Mac Mini.
The video covers OpenClaw’s foundational architecture — including the workspace folder structure, the agents.md and identity.md core files, and the tools.md skill registry — before walking through specific skill implementations. Highlighted skills include Notion database integration (with automatic notebook targeting), a Linear project management connector, a transcript extraction skill powered by the SuperData API (which the host uses at roughly $15/month for 3,000 transcript pulls), and a thumbnail generation pipeline. The host also demonstrates connecting OpenClaw to Telegram as a dedicated command interface, explaining why he prefers it over iMessage or WhatsApp for agent communication.
A recurring theme is skill verification: how to test whether a newly created skill actually works, how the agent updates its own tools.md file after learning new integrations, and how to inspect internal state via VS Code or Cursor. The video uses Claude Opus 4.5 as the underlying model. Builders already familiar with OpenClaw basics will find this most useful as a reference for moving from a default setup to a production-grade personal automation stack.
📺 Source: Riley Brown
🏷️ Format: Tutorial Demo
