whatsapp-chats

What This Skill Does

The whatsapp-chats skill allows your OpenClaw AI agent to interface directly with your WhatsApp messaging history. By leveraging the Baileys library session cache, the agent can programmatically retrieve, parse, and analyze your chat logs. This enables a powerful bridge between your personal or professional messaging history and the agent’s reasoning capabilities, turning static text logs into searchable, actionable data.

Installation

To install this skill, use the ClawHub CLI command within your terminal: clawhub install openclaw/skills/skills/marcosrippel/whatsapp-chats Ensure that you have an active Baileys session initialized on your local environment, as the skill relies on the presence of these cached local files to perform data extraction.

Use Cases

This skill is ideal for users who need to maintain context across large volumes of messaging. Common use cases include: summarizing recent threads with specific contacts to prepare for meetings, searching for forgotten contact information or shared links within long chat histories, and performing sentiment or frequency analysis on communications to identify trends or communication bottlenecks. It effectively turns your WhatsApp into a queryable database.

Example Prompts

1. "List the last 30 WhatsApp conversations and identify any messages related to the project deadline."
2. "Search through my chats for 'John' and summarize his last three messages regarding the dinner plans."
3. "Provide a statistical overview of my WhatsApp usage; who have I messaged the most this month?"

Tips & Limitations

To get the most out of this skill, ensure your local Baileys session is properly authenticated and up-to-date. The skill performs read-only operations on your local cache, meaning it cannot send messages or alter your chat state. Because it parses local files, search performance depends on the size of your session cache; large histories may take slightly longer to parse. Privacy is paramount, so be mindful that the AI agent processes the chat content—ensure your environment is secure and that you only grant permissions to trusted agent configurations. It is designed specifically for local analysis, not for cloud-synced monitoring.