A Developer's Guide to Gemini CLI Extensions & Claude Agent Skills
The primary goal is to turn the command line into a central hub. Extensions act as connectors, giving the AI agent direct access to external APIs, services, and local scripts via a formal server protocol.
The focus is on packaging procedural knowledge. Skills are like instruction manuals, teaching the AI *how* to perform specialized tasks, follow complex workflows, or adhere to specific guidelines, optionally using scripts.
While both are powerful, their setup complexity and development focus differ significantly. Gemini CLI Extentions requires more initial server configuration, whereas Claude Agent Skills prioritizes the clarity of written instructions.
Choosing the right framework depends on your goal. Gemini CLI Extensions excels at integrating external services, while Claude Agent Skills is superior for embedding complex, human-centric processes.
Extensions fosters an open-source ecosystem with a central discovery page, making it easy to find, share, and install extensions from various sources.
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Skills are scoped to different contexts. Sharing is often done through version control for teams or packaged within plugins, rather than a single marketplace.
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