How to create a Claude Code Plugin in 5 minutes (agnost.ai)

🤖 AI Summary
Claude Code now supports plugins — simple git-style repos dropped into ~/.claude/plugins — letting you add custom slash commands, conversational agents, and workflow hooks using nothing more than Markdown files with frontmatter. This hands-on guide shows you can build a useful plugin in minutes (example: a code-reviewer that cites line numbers and suggests fixes) and scale to richer tools like API generators and stateful agents. The big deal for AI/ML teams: low-friction customization of developer workflows (code review, test generation, API design), project-level auto-install of team toolsets, and a path to reproducible, shareable tooling that runs inside Claude without complex APIs or builds. Technically, a plugin is structured with .claude-plugin/plugin.json plus commands/, agents/, and hooks/ directories; commands and agents are Markdown templates that instruct Claude (one-shot commands vs. conversational agents). You can test locally with a dev-marketplace and share org-wide via a marketplace repo or .claude/settings.json for auto-install. Practical caveats: be specific in command prompts, test edge cases (large/invalid/empty files), add error handling, and account for Claude’s context/token limits (recommend keeping commands <200 tokens, agents <500). Finally, instrument usage (e.g., Agnost AI) — analytics reveal which plugins actually drive value so teams can prune clutter and improve performance.
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