Turn any CLI into an agent skill

Agent skills are commonly concise SKILL.md files that teach AI agents when and how to use existing command-line tools, combining a CLI’s capabilities with practical operational guidance. The tutorial uses the Parallel CLI for web research to show that agent-friendly CLIs should support non-interactive flags, structured JSON output, meaningful exit codes, and stdin input for shell composition. An effective skill includes frontmatter describing when it applies, verifiable setup instructions, representative commands, and guidance on decision-making, costs, asynchronous workflows, error recovery, and citation practices rather than exhaustive help text. Skills can work across multiple agent environments because SKILL.md is an open standard, and they are positioned as especially suitable for local, composable CLI capabilities compared with MCP servers. Authors should test whether skills activate for relevant requests, handle missing installations or authentication failures correctly, and guide multi-step workflows, then distribute them through repositories, URLs, or registries while documenting official names and using secure installation methods.

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