Which messaging platforms does the beeper skill support?

It supports a wide range of platforms bridged by Beeper, including Signal, Telegram, WhatsApp, and iMessage/SMS.

Can I use this for cross-platform contact lookup?

Absolutely. The Tier 3 integration allows you to JOIN data across Signal, iMessage, and Telegram to resolve contact identities regardless of the network.

How does the DuckDB integration work?

The skill uses DuckDB to attach local SQLite databases from Beeper and iMessage, enabling complex SQL queries across all your chat history without needing ETL processes.

Can I send messages directly through this Claude Code skill?

Yes, Tier 1 (MCP) allows you to search for chats and send messages in real-time directly from your AI interactions.

Is my message data secure while using this skill?

Yes, the skill utilizes authenticated CLI tokens via fnox and local database paths, ensuring your communication data remains under your control.

Beeper Unified Messaging

Name: Beeper Unified Messaging
Author: plurigrid

byplurigrid

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コラボレーションツール

Manages and analyzes cross-platform communications through a unified interface supporting real-time messaging, CLI-based metadata, and deep database analytics.

The beeper skill provides a powerful three-tier architecture for interacting with the Beeper messaging ecosystem within Claude Code. It allows users to send live messages across multiple networks—including Signal, Telegram, iMessage, and WhatsApp—query authenticated CLI metadata for contact management, and perform complex SQL-based analysis using a unified DuckDB and SQLite archive. This skill is essential for developers and power users who need to bridge their communication history with their development environment for context extraction, task tracking, and cross-platform message searching.

主な機能

01Advanced SQL analytics with DuckDB for deep message history and pattern analysis

02Unified cross-platform messaging across Signal, Telegram, WhatsApp, and iMessage

03Authenticated CLI integration for precise chat filtering and account management

048 GitHub stars

05Real-time message sending and live search via Model Context Protocol (MCP)

06Automated 'DM landscape' generation for high-level communication summaries

ユースケース

01Extracting action items and technical decisions directly from chat history into project artifacts

02Performing cross-platform contact resolution and communication frequency reporting

03Searching for code snippets or specific context shared across different messaging platforms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi beeper

For use in Claude.ai and ChatGPT

Download Skill