CLI Agent Tools — Development skill for Claude Code

CLI Agent Tools

30+ CLI tools with ready-to-use Claude Code skills for AI agents. Replace bloated MCP servers with efficient CLI alternatives.

Why CLI over MCP?

AI models have been trained on billions of terminal interactions. They already know CLI tools. MCP servers add unnecessary overhead:

• 10-32x cheaper - CLI tools use a fraction of the tokens (Scalekit benchmark)
• 72% context waste - MCP servers dump entire schemas into your context window before you ask a single question
• 100% vs 72% reliability - CLI commands succeed reliably; MCP servers have a 28% failure rate

A typical MCP server (like GitHub's) ships 93 tools costing ~55,000 tokens just to initialize. The equivalent `gh` CLI skill? ~800 tokens.

What's Included

30 tools across 8 categories, each with a `SKILL.md` (Claude Code skill) and `install.sh`:

Category	Tools
Cloud	aws, gcloud, az
DevOps	gh, docker, kubectl, terraform
Deployment	vercel, railway, netlify, fly, firebase, wrangler
Database	supabase, turso, planetscale
Media	ffmpeg, imagemagick, blender, yt-dlp
Communication	stripe, resend, twilio
Testing	playwright, httpie
Utility	jq, ripgrep, ngrok, pandoc, gh-copilot, opencli

Quick Start

Use a single skill

Copy any `SKILL.md` into your project's `.claude/skills/` directory:

# Example: Add the GitHub CLI skill
mkdir -p .claude/skills
cp tools/github/SKILL.md .claude/skills/github.md

Claude Code will automatically pick up the skill and use `gh` instead of the GitHub MCP server.

Install a tool

# Install a specific tool
./install-all.sh --tool github

# Install a category
./install-all.sh --category cloud    # Installs aws, gcloud, az

# Install everything
./install-all.sh --all

# See what's available
./install-all.sh --list

Install all skills at once

# Copy all ski