A professional command-line interface for WhatsApp that enables AI agents to send messages, share files, and search chat histories.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install probar
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install probar using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
wacli is a specialized command-line utility designed for developers and AI agents who need to interact with WhatsApp programmatically. Unlike standard messaging interfaces, it focuses on bridging the gap between automated workflows and mobile communication. This skill allows agents to reach out to third parties, manage group interactions, and index communication history for better contextual awareness.
By integrating wacli through Openclaw Skills, you provide your AI with a secure way to handle messaging without relying on manual UI interactions. It uses a local storage system and provides structured JSON output, making it highly compatible with modern agentic architectures that require precise data handling and reliable delivery mechanisms.
To integrate this tool into your Openclaw Skills workflow, install the binary using one of the following methods:
# Install via Homebrew
brew install steipete/tap/wacli
# Or install via Go
go install github.com/steipete/wacli/cmd/wacli@latest
Once installed, perform the initial authentication:
wacli auth
The wacli skill organizes data through a local store and provides structured output for agent consumption. It distinguishes between individual and group entities using specific JID formats:
| Entity Type | JID Format | Example |
|---|---|---|
| Individual | +14155551212@s.whatsapp.net | |
| Group | 1234567890-123456789@g.us |
All commands support the --json flag, which outputs machine-readable data structures including message IDs, timestamps, sender info, and body text, allowing for seamless parsing within the Openclaw Skills ecosystem.
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