How do I install the Ky skill?

Run npx skillmds@latest add astoreyai/ky 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.

What does the Ky skill do?

Ky Assistant It is listed under Coding & Dev Tools on SkillMD.

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 Ky?

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.

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

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

Ky by astoreyai — Agent Skill

Name: Ky
Rating: 4.2 (5 reviews)
Author: astoreyai

File contents

Ky Assistant

Personal AI voice assistant with orchestration, memory, and proactive features.

Description

Ky is a Jarvis-like AI assistant that combines voice interaction, persistent memory, and intelligent task orchestration. It uses local LLMs for fast responses and Claude for complex tasks, with automatic routing based on task complexity.

Applies When

User wants a personal voice assistant
User needs task orchestration and planning
User wants proactive suggestions and memory
User needs calendar/email integration
User wants low-latency voice responses

Components

Closure (Brain)

Central orchestrator with lazy-loaded components:

Orchestrator: Task coordination and context management
Planner: LLM-powered task decomposition
Router: Subagent routing (developer, researcher, trader, scribe)
Memory: WW integration for persistent memory
Local LLM: Ollama routing for 29-56ms latency
Integrations: Calendar, Email, Visual wrappers
Proactive: Memory surfacing, skill learning
Resilience: Circuit breakers, health monitoring
Dashboard: TUI status display

VM (Voice)

Kymera Voice layer for audio I/O:

Wake word detection (OpenWakeWord)
GPU-accelerated STT (faster-whisper)
Streaming TTS (Kokoro)
Echo cancellation and VAD
MCP server with 7 voice tools

WW (Memory)

World Weaver tri-mode memory:

Episodic (experiences with FSRS decay)
Semantic (knowledge graph with ACT-R)
Procedural (skills with Memp algorithm)

Usage

# Start Ky with system tray
~/ky/ky-tray

# Interactive mode
~/ky/ky

# One-shot task
~/ky/ky "schedule a meeting with Bob tomorrow"

# Status dashboard
~/ky/ky-status

# Voice mode
~/ky/ky --voice

Configuration

Environment Variables

ANTHROPIC_API_KEY     # Required for Claude
OLLAMA_HOST           # Ollama URL (default: localhost:11434)
WW_URL                # WW memory URL (default: localhost:8765)

Service Installation

# User services (tray, memory)
~/ky/services/install.sh install

# System services (Ollama)
~/ky/services/install.sh install --system

Features

LLM Routing

TRIVIAL (greetings, yes/no) → tinyllama (~56ms)
SIMPLE/MODERATE (questions, explanations) → mistral (~29ms)
COMPLEX (code, analysis) → Claude (~800ms)

Resilience

Circuit breakers for all services
Health monitoring with auto-recovery
Graceful degradation through fallback chain

Proactive Features

Morning briefings with calendar/email
Memory surfacing based on context
Skill learning from successful patterns
Proactive suggestions

Requirements

Python 3.11+
Ollama (for local LLM)
Neo4j + Qdrant (for WW memory)
Docker (for services)
PyGObject/GTK (for system tray)

Location

/home/aaron/ky/

---name: kydescription: Ky Assistant---# Ky AssistantPersonal AI voice assistant with orchestration, memory, and proactive features.## DescriptionKy is a Jarvis-like AI assistant that combines voice interaction, persistent memory, and intelligent task orchestration. It uses local LLMs for fast responses and Claude for complex tasks, with automatic routing based on task complexity.## Applies When- User wants a personal voice assistant- User needs task orchestration and planning- User wants proactive suggestions and memory- User needs calendar/email integration- User wants low-latency voice responses## Components### Closure (Brain)Central orchestrator with lazy-loaded components:- **Orchestrator**: Task coordination and context management- **Planner**: LLM-powered task decomposition- **Router**: Subagent routing (developer, researcher, trader, scribe)- **Memory**: WW integration for persistent memory- **Local LLM**: Ollama routing for 29-56ms latency- **Integrations**: Calendar, Email, Visual wrappers- **Proactive**: Memory surfacing, skill learning- **Resilience**: Circuit breakers, health monitoring- **Dashboard**: TUI status display### VM (Voice)Kymera Voice layer for audio I/O:- Wake word detection (OpenWakeWord)- GPU-accelerated STT (faster-whisper)- Streaming TTS (Kokoro)- Echo cancellation and VAD- MCP server with 7 voice tools### WW (Memory)World Weaver tri-mode memory:- Episodic (experiences with FSRS decay)- Semantic (knowledge graph with ACT-R)- Procedural (skills with Memp algorithm)## Usage```bash# Start Ky with system tray~/ky/ky-tray# Interactive mode~/ky/ky# One-shot task~/ky/ky "schedule a meeting with Bob tomorrow"# Status dashboard~/ky/ky-status# Voice mode~/ky/ky --voice```## Configuration### Environment Variables```bashANTHROPIC_API_KEY # Required for ClaudeOLLAMA_HOST # Ollama URL (default: localhost:11434)WW_URL # WW memory URL (default: localhost:8765)```### Service Installation```bash# User services (tray, memory)~/ky/services/install.sh install# System services (Ollama)~/ky/services/install.sh install --system```## Features### LLM Routing- **TRIVIAL** (greetings, yes/no) → tinyllama (~56ms)- **SIMPLE/MODERATE** (questions, explanations) → mistral (~29ms)- **COMPLEX** (code, analysis) → Claude (~800ms)### Resilience- Circuit breakers for all services- Health monitoring with auto-recovery- Graceful degradation through fallback chain### Proactive Features- Morning briefings with calendar/email- Memory surfacing based on context- Skill learning from successful patterns- Proactive suggestions## Requirements- Python 3.11+- Ollama (for local LLM)- Neo4j + Qdrant (for WW memory)- Docker (for services)- PyGObject/GTK (for system tray)## Location`/home/aaron/ky/`## Related- [World Weaver Memory](../memory/world-weaver/SKILL.md)- [Kymera Voice](../../integrations/kymera-voice/README.md)

Frequently asked questions

Ky