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Mark and Allen dive into the emerging world of Agent Skills, an open standard for extending the capabilities of AI coding assistants like GitHub Copilot, Claude Code, and Gemini CLI. They explore how these skills work, how they compare to the Model Context Protocol (MCP), and walk through creating and installing a custom skill using the `skills` CLI. They also discuss the skills.sh website by Vercel, which acts as a registry and leaderboard for the ecosystem. The conversation touches on the potential for standardization, the current fragmentation in the ecosystem, and critical security considerations for these powerful new tools. More Info: https://agentskills.io https://skills.sh https://cra.mr/mcp-skills-and-agents [00:00:00] Introduction & Context: AI Agents and Tools [00:02:18] Getting Information into Context (Instructions files) [00:06:50] What are Agent Skills? (AgentSkills.io) [00:09:55] Agent Skills vs. MCP Servers [00:16:35] How Skills Work: Progressive Disclosure [00:19:50] Mark's Example: List Global NPM Skill [00:22:56] Installing Skills with skill.sh and the Skills CLI [00:26:55] Demo: Installing on GitHub Copilot [00:30:58] Demo: Installing on Gemini CLI [00:37:37] Discussion: Discovery, Standardization, and Security [00:43:05] Conclusion #AgentSkills #AI #GitHubCopilot #GeminiCLI #CodingAssistants #MCP #ModelContextProtocol #DeveloperTools #TwoVoiceDevs