Getting Started

Slingshot

Slingshot is a command-line tool designed for AI agents, not human operators. Every design decision — atomic command structure, bilingual output, the --explain flag, the skill system — exists to make it easy for your AI agent to discover, learn, and wield this tool fluently.

Installation

The fastest way to get Slingshot:

curl -fsSL https://slingshot.dscli.io/install.sh | bash

The installer detects your OS and architecture, downloads the right binary, and places it on your $PATH.

Alternative Methods

Go install (if you have Go installed):

go install github.com/nanjj/slingshot/cmd/slingshot@latest

Verify

slingshot version

What Can You Do With Slingshot?

Slingshot organizes its capabilities into clear command groups:

CommandPurpose
slingshot configManage configuration — set, get, list, unset settings
slingshot weixinWeChat Official Account: drafts, materials, publishing
slingshot siteManage deployment targets: add, update, list, remove, rsync
slingshot pageManage site pages: add, update, list, remove
slingshot skillInstall and manage AI agent skills
slingshot draftCreate and update drafts with auto-conversion

Every command produces structured, machine-readable output — designed for agent consumption first, human readability second.

📢 WeChat Publishing

Convert Markdown and Org mode files to WeChat-compatible HTML. Upload images to WeChat CDN. Create, list, update, and remove drafts — all through clean CLI commands.

# Create a draft from a Markdown file
slingshot draft create --title "My Post" --content-file post.md

# List all drafts
slingshot weixin draft list

# Publish to WeChat Official Account
slingshot weixin draft publish --id <draft-id>

🌐 Site Deployment

Deploy static sites with one command via rsync. Full Zine integration for feature-rich sites with i18n, or simple page management for smaller projects.

# Add a deployment target
slingshot site add prod --type zine --user user --host example.com --path /var/www

# Build and deploy
slingshot site rsync prod

How Your AI Agent Uses Slingshot

Slingshot’s CLI is self-documenting by design. Your AI agent can learn every command without reading documentation updates — it just asks the tool.

# Show available commands
slingshot --help

# Get detailed help for any command
slingshot site --help

# The --explain flag: parse and explain without executing
# This is how your AI safely explores commands:
slingshot draft create --explain --title "Hello" --content-file post.md

The --explain flag is the key. It parses every argument, validates the command, and prints exactly what would happen — without side effects. Your AI can explore, make mistakes safely, and learn the tool interactively.

Slingshot speaks both English and Chinese. Set your locale and the entire CLI responds — help text, error messages, everything.

# Chinese mode
LANG=zh_CN.UTF-8 slingshot --help

# English mode (default)
slingshot --help

Install Skills

Skills are the heart of Slingshot. They package curated human expertise into reusable workflows your AI agent can load and execute — months of exploration distilled into reproducible recipes.

# See what's available
slingshot skill list

# Install a specific skill
slingshot skill install weixin

Once installed, your AI agent can discover each skill’s commands the same way — with --help and --explain:

# Explore a skill's capabilities
slingshot skill explain weixin
# Or just ask your AI — it already knows how to use these tools.

Skills install to your project’s .dscli/skills/ directory. Your AI assistant loads them automatically.

The built-in skills are:

  • weixin — WeChat Official Account publishing workflow
  • site-page — static site deployment (simple page management)
  • site-zine — Zine SSG sites with i18n, templates, and versioning
  • incus — Incus container lifecycle management for testing

Each represents hard-won knowledge encoded into a form your AI can use immediately. No need to manually describe them here — your AI will discover their full capabilities through the CLI itself.

Next Steps