kasetto
kasetto
Kasetto is a declarative AI agent environment manager for syncing skills and MCP configs across one or many supported agents.
Use This Skill When
- You need the right
kstcommand, flag, or config shape for install, sync, inspection, cleanup, upgrade, uninstall, or completions. - You need to create or debug a
kasetto.yamlconfig for skills or MCP sources. - You need to target agent presets such as Codex, Cursor, Claude Code, OpenCode, Copilot, Gemini CLI, or Windsurf.
- You need to understand non-interactive output, auth for private git hosts, or version-specific behavior.
Working Approach
- First identify the task type: install/setup, config authoring, sync/list/doctor/clean, MCP integration, auth, or upgrade behavior.
- Read only the relevant reference file instead of loading everything.
- Prefer exact upstream command syntax and the smallest config that solves the user's case.
- For automation or CI, prefer documented non-interactive options such as
--json,--plain,NO_TUI=1, and--dry-runwhen appropriate. - Call out destructive commands like
kst cleanandkst self uninstallbefore recommending them. - Start from bundled examples when the user needs a config snippet or a quick command sequence.
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