kasetto
Skill2 starsChanged 7 months agoMITView on GitHub
Use this skill when you need to install, configure, sync, inspect, or troubleshoot Kasetto, including `kst` commands, config files, multi-agent skill installs, MCP integration, private git-host auth, and upgrade-specific behavior.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Read only the relevant reference file instead of loading everything.
- Distinctive: line 24
Prefer exact upstream command syntax and the smallest config that solves the user's case.
- Very specific: line 26
Call out destructive commands like kst clean and kst self uninstall before recommending them.
- Distinctive: line 27
Start from bundled examples when the user needs a config snippet or a quick command sequence.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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.
References
references/getting-started.md: install methods, first sync, minimal config, scopesreferences/core-patterns.md: config model, source patterns, agent presetsreferences/api-reference.md: commands, flags, config keysreferences/testing-debugging.md: dry-run, JSON, plain output, diagnosticsreferences/integrations-plugins.md: MCP support, agent integrations, private host authreferences/upgrades.md: feature-by-version lookupreferences/issues.md: current issue snapshotsreferences/file_structure.md: upstream repo layout
Examples
examples/common-commands.md: quick command sequences for setup, inspection, and cleanupexamples/minimal-config.yaml: smallest working skill sync configexamples/multi-source-config.yaml: mixed skill and MCP config with pinned refs and explicit paths
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

