ai-agent

zsh-autosuggestions: Faster Command Line Editing for Busy Founders

Boost your terminal efficiency with fish‑style suggestions that appear as you type, letting founders and dev teams work faster. Trusted by the community with 36k+ GitHub stars.

From the repo · “Fish-like autosuggestions for zsh”

36,151 stars+18★ this week1,940 forksShellGuide quality 9/10 · reviewed Oct 5Updated 6/24/2025100% free · open source
What it does

zsh-autosuggestions provides instant command suggestions as you type in your zsh terminal, drawing from your command history to suggest possible completions

When to use it
  • •When working with frequently used commands and wanting to reduce typing time
  • •When exploring a new system or project and needing to quickly find available commands
  • •When trying to recall complex or hard-to-remember commands
Ready-to-paste prompt
Type 'git ' and then press the right arrow key to accept a suggested Git command, such as 'git status'
Heads up: Make sure you have zsh installed and set as your default shell, as zsh-autosuggestions only works with zsh and not with other shells like bash
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/zsh-autosuggestions && curl -fsSL https://workflowstacks.com/api/skills/zsh-autosuggestions/claude-skill -o ~/.claude/skills/zsh-autosuggestions/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How zsh-autosuggestions: Faster Command Line Editing for Busy Founders works
Codeflow
Free to inspect

Zsh-autosuggestions: Faster Command Line Editing for Busy Founders is a small Shell project (~1.4k lines across 14 code files, plus 27 test files). Setup is light: runs with Docker. Last commit 14 months ago, MIT license, has a test suite.

Size
Small codebase
~1.4k lines · 14 code files · 12 min skim
Setup
Light setup
Runs with Docker.
Runs on
Ruby · Docker
No API keys detected
Shell 63%Ruby 36%Makefile 1%Dockerfile 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    src/async.zsh
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic11 files
spec/Tests — proof it works27 files
.github/CI / automation (GitHub Actions)3 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseLast update 14 mo ago
Quick Actions
Details
Creator
zsh-users
Language
Shell
Category
ai-agent
Published
10/26/2013

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/zsh-autosuggestions.svg)](https://workflowstacks.com/skills/zsh-autosuggestions?utm_source=github&utm_medium=badge)
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