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cerebellum

Single fast-execution skill for macOS / Linux / Windows app operations.

Skill by LocalKinAI

IndexedApache-2.0★ 9
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/localkinai-cerebellum

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About

Single fast-execution skill for macOS / Linux / Windows app operations. The "cerebellum" to the LLM's "cerebrum" — the brain decides intent, this skill executes the canonical multi-step pattern in one syscall sequence (no LLM round-trip per step). Inspired by the same architecture as the LocalKin robot car: the high-level brain plans ("rename this file to X"), the cerebellum daemon executes deterministically (`mv old new`) at near-zero latency. USAGE: cerebellum "<category> <action> [args...]" Categories: macOS finder, notes, mail, calendar, reminders, settings, safari, music, photos, maps, pages, numbers, keynote, terminal, multi, web (16 cats, 478 actions) Linux linux-files, linux-apps, linux-settings, linux-clipboard (4 cats) Windows windows-files, windows-apps, windows-settings, windows-clipboard (4 cats) Run with no args to see the full action menu. Examples: cerebellum "finder rename /old.txt /new.txt" cerebellum "finder set_view list" cerebellum "finder set_sort Date" cerebellum "notes create 'Title' 'body content'" cerebellum "notes pin 'KinBench Pinned 164'" cerebellum "notes export_pdf 'My Note' /Users/me/out.pdf" cerebellum "mail draft 'subject' 'body' /path/attach.pdf" Why this exists: Cloud-brain LLM round-trips are 5-15s each. Solving "rename a file" via raw shell + verify takes 4-6 round-trips ≈ 30-60s. Solving via cerebellum takes 1 round-trip + a 50ms shell call. 6-9× speedup on file-system tasks. The brain still has to PARSE the prompt and pick the right cerebellum command — that part is irreducible thinking. The goal is to remove the *non-thinking* round-trips (running a command, reading its output, deciding it succeeded, calling verify). When NOT to use: tasks that genuinely require multi-step planning where each step depends on the result of the previous (e.g. "find the file whose name contains X then move it"). For those, fall back to the raw `shell` claw and let the LLM compose the steps.

Use cases: documents, presentations, ml, writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
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Runs as
Shell scripts

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/cerebellum

What's inside

Skill name
cerebellum
Description
Single fast-execution skill for macOS / Linux / Windows app operations. The "cerebellum" to the LLM's "cerebrum" — the brain decides intent, this skill executes the canonical multi-step pattern in one syscall sequence (no LLM round-trip per step). Inspired by the same architecture as the LocalKin robot car: the high-level brain plans ("rename this file to X"), the cerebellum daemon executes deterministically (`mv old new`) at near-zero latency. USAGE: cerebellum "<category> <action> [args...]" Categories: macOS finder, notes, mail, calendar, reminders, settings, safari, music, photos, maps, pages, numbers, keynote, terminal, multi, web (16 cats, 478 actions) Linux linux-files, linux-apps, linux-settings, linux-clipboard (4 cats) Windows windows-files, windows-apps, windows-settings, windows-clipboard (4 cats) Run with no args to see the full action menu. Examples: cerebellum "finder rename /old.txt /new.txt" cerebellum "finder set_view list" cerebellum "finder set_sort Date" cerebellum "notes create 'Title' 'body content'" cerebellum "notes pin 'KinBench Pinned 164'" cerebellum "notes export_pdf 'My Note' /Users/me/out.pdf" cerebellum "mail draft 'subject' 'body' /path/attach.pdf" Why this exists: Cloud-brain LLM round-trips are 5-15s each. Solving "rename a file" via raw shell + verify takes 4-6 round-trips ≈ 30-60s. Solving via cerebellum takes 1 round-trip + a 50ms shell call. 6-9× speedup on file-system tasks. The brain still has to PARSE the prompt and pick the right cerebellum command — that part is irreducible thinking. The goal is to remove the *non-thinking* round-trips (running a command, reading its output, deciding it succeeded, calling verify). When NOT to use: tasks that genuinely require multi-step planning where each step depends on the result of the previous (e.g. "find the file whose name contains X then move it"). For those, fall back to the raw `shell` claw and let the LLM compose the steps.
License
Apache-2.0
Instructions
43 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • description: longer than 1024 characters

Files (27)

  • SKILL.md
  • _helpers.sh · categories/
  • calendar.sh · categories/
  • finder.sh · categories/
  • keynote.sh · categories/
  • linux-apps.sh · categories/
  • linux-clipboard.sh · categories/
  • linux-files.sh · categories/
  • linux-settings.sh · categories/
  • mail.sh · categories/
  • maps.sh · categories/
  • multi.sh · categories/
  • music.sh · categories/
  • notes.sh · categories/
  • numbers.sh · categories/
  • pages.sh · categories/
  • photos.sh · categories/
  • reminders.sh · categories/
  • safari.sh · categories/
  • settings.sh · categories/
  • terminal.sh · categories/
  • web.sh · categories/
  • windows-apps.sh · categories/
  • windows-clipboard.sh · categories/
  • windows-files.sh · categories/
  • windows-settings.sh · categories/
  • cerebellum.sh

SKILL.md (first lines)

# cerebellum — fast cross-platform operation dispatcher

A single skill that wraps battle-tested canonical sequences for
common app patterns. Single LLM round-trip in, one syscall sequence
out. Designed to eliminate the LLM-tax on "obvious" multi-step
operations. Per-OS backends:
  - macOS   — AppleScript / osascript / shell
  - Linux   — shell + POSIX tools (xdg-open, gtk-launch, gsettings, pactl, …)
  - Windows — bash → powershell.exe (Move-Item, AppActivate, WMI, UIA, …)

## When to use

For ANY of these patterns, prefer cerebellum over raw `shell` + multi-step:
- File ops (rename, move, copy, zip, mkdir, trash)
- Finder view/sort/sidebar settings
- Notes CRUD (create, append, delete, pin, format, export)
- Mail draft creation
- Tag operations

## Architecture

```
LLM (cerebrum)         cerebellum               OS
──────────────         ──────────               ──
"rename old.txt
 to new.txt"     ───►  parse intent       ───►  mv old.txt new.txt
                       run canonical      ◄───  return ok
                       (handles retries,
                        iCloud sync waits,
                        kHasCustomIcon flag,
                        etc — all without
                        bothering the LLM)
                                          ◄───  ok
                 ◄───  "done"
```

Internal verify, retry, and platform quirks are baked in — the LLM
doesn't need to know that macOS 14+ removed the AppleScript `pinned`
property, or that Notes' table requires `Cmd+Opt+T` after AXFocus,
or that Mail draft saving needs `tell app Mail to launch` + sleep.
All of that lives in the cerebellum.

From LocalKinAI/kinclaw, Apache-2.0.

More from LocalKinAI/kinclaw

Signals

Stars
9
Forks
3
Open issues
2
Last commit (this folder)
Sep 24, 2026 (1 month ago)
Last release
Sep 6, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from LocalKinAI

Cite this page

cerebellum skill. Agent Mart. https://agentmart.dev/skills/localkinai-cerebellum (last updated 2026-10-24)