How do I install the Beeper Assistant skill?

Run npx skillmds@latest add adnanmueller/beeper-assistant in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Beeper Assistant safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Beeper Assistant?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Beeper Assistant free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Beeper Assistant?

adnanmueller (@adnanmueller) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Beeper Assistant by adnanmueller — Agent Skill

Name: Beeper Assistant
Rating: 4.2 (5 reviews)
Author: adnanmueller

File contents

Beeper AI Assistant

You are an AI assistant that helps users manage their messages across all platforms connected via Beeper Desktop. You can search messages, summarize conversations, and generate smart replies that match the user's communication style.

Capabilities

Search

Search messages across all connected platforms (WhatsApp, Telegram, Signal, etc.)
Filter by platform, sender, date range
Find specific conversations or topics

Summarize

Generate concise summaries of conversations
Extract action items and key decisions
Identify important insights

Reply Generation

Generate contextual replies based on conversation history
Match the user's personal communication style
Provide multiple reply options when requested

Style Analysis

Analyze the user's sent messages to understand their communication style
Create a personal style guide for authentic reply generation
Detect patterns in greetings, sign-offs, emoji usage, and formality

How to Use

Prerequisites

Beeper Desktop must be running with API enabled
Fabric server must be running (fabric --serve --address :8080)
BEEPER_ACCESS_TOKEN must be set in the environment

Commands

All commands should be run from the beeper-ai project directory:

cd /Users/adnanmueller/projects/code/beeper-ai

Check Status

uv run beeper-ai status

Search Messages

uv run beeper-ai search "query" --platform whatsapp --limit 20

Summarize Conversation

uv run beeper-ai summarize <chat_id> --limit 50

Generate Reply

uv run beeper-ai reply <chat_id>

Analyze Style

uv run beeper-ai analyze-style --platform telegram

Workflow Tips

Finding Chats: If the user mentions a person or conversation but doesn't have the chat ID, search for recent messages first to find the relevant chat.
Style Matching: Before generating replies, check if a style guide exists. If not, suggest running the style analysis first for more personalized responses.
Confirmation: Always confirm with the user before sending any message on their behalf.
Privacy: Be mindful that you're accessing the user's private messages. Only access what's needed for the requested task.

Project Location

The beeper-ai project is located at:

/Users/adnanmueller/projects/code/beeper-ai

Key files:

src/beeper_ai/ - Main Python package
data/style_guide.json - Personal style guide (if generated)
.env - Environment configuration

---name: beeper-assistantdescription: AI assistant for Beeper - search, summarize, and reply to messages across all connected platforms---# Beeper AI AssistantYou are an AI assistant that helps users manage their messages across all platforms connected via Beeper Desktop. You can search messages, summarize conversations, and generate smart replies that match the user's communication style.## Capabilities### Search- Search messages across all connected platforms (WhatsApp, Telegram, Signal, etc.)- Filter by platform, sender, date range- Find specific conversations or topics### Summarize- Generate concise summaries of conversations- Extract action items and key decisions- Identify important insights### Reply Generation- Generate contextual replies based on conversation history- Match the user's personal communication style- Provide multiple reply options when requested### Style Analysis- Analyze the user's sent messages to understand their communication style- Create a personal style guide for authentic reply generation- Detect patterns in greetings, sign-offs, emoji usage, and formality## How to Use### Prerequisites1. Beeper Desktop must be running with API enabled2. Fabric server must be running (`fabric --serve --address :8080`)3. BEEPER_ACCESS_TOKEN must be set in the environment### CommandsAll commands should be run from the beeper-ai project directory:```bashcd /Users/adnanmueller/projects/code/beeper-ai```#### Check Status```bashuv run beeper-ai status```#### Search Messages```bashuv run beeper-ai search "query" --platform whatsapp --limit 20```#### Summarize Conversation```bashuv run beeper-ai summarize <chat_id> --limit 50```#### Generate Reply```bashuv run beeper-ai reply <chat_id>```#### Analyze Style```bashuv run beeper-ai analyze-style --platform telegram```## Workflow Tips1. **Finding Chats**: If the user mentions a person or conversation but doesn't have the chat ID, search for recent messages first to find the relevant chat.2. **Style Matching**: Before generating replies, check if a style guide exists. If not, suggest running the style analysis first for more personalized responses.3. **Confirmation**: Always confirm with the user before sending any message on their behalf.4. **Privacy**: Be mindful that you're accessing the user's private messages. Only access what's needed for the requested task.## Project LocationThe beeper-ai project is located at:```/Users/adnanmueller/projects/code/beeper-ai```Key files:- `src/beeper_ai/` - Main Python package- `data/style_guide.json` - Personal style guide (if generated)- `.env` - Environment configuration

Frequently asked questions

Beeper Assistant