cecelia

Route user queries to direct responses or AI brain task processing.

Updated Feb 25, 2026

Search Tags:#workflow #llm #agent #ai assistant #interface #task routing

Ready to run

npx skills add https://github.com/perfectuser21/cecelia --skill cecelia

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cecelia
Source: https://github.com/perfectuser21/cecelia/tree/main/packages/workflows/agents/cecelia
Command: npx skills add https://github.com/perfectuser21/cecelia --skill cecelia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as the primary interface for interacting with the Cecelia AI system, ensuring quick and concise responses to user queries and intelligently routing complex tasks to the core AI brain.

Core Features & Use Cases

Direct User Interaction: Handles all incoming user requests via text or voice.
Intelligent Routing: Differentiates between simple questions requiring direct answers and complex tasks needing deeper processing.
Dual-Mode Execution: Supports both immediate, synchronous Agent Chain execution for simple tasks and asynchronous Task Queue processing for complex, overnight jobs.
Use Case: Ask "What's the weather today?" for an immediate answer, or "Batch process all user data overnight" to have it queued for later execution.

Quick Start

Use the cecelia skill to ask "What is the current system status?".

Frequently Asked Questions about cecelia

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does an AI assistant interface route tasks to an LLM agent?▼

An AI assistant interface manages user interactions by differentiating between simple questions requiring direct answers and complex tasks needing deeper processing and intelligent routing to an LLM agent.

What is the best way to handle synchronous and asynchronous tasks in an AI workflow?▼

Handling synchronous and asynchronous tasks in an AI workflow requires a dual-mode execution system, utilizing immediate Agent Chain execution for simple tasks and a Task Queue for complex, overnight jobs.

How do I set up task routing for simple queries versus complex batch processing?▼

To set up task routing for simple queries versus complex batch processing, configure the AI interface to provide direct responses for simple questions and queue complex, overnight jobs for asynchronous task processing.

Can I use an AI interface for both immediate user interaction and overnight batch processing?▼

Yes, you can use an AI interface for both immediate user interaction and overnight batch processing by leveraging dual-mode execution to handle synchronous requests and asynchronous Task Queue jobs simultaneously.

When should I use Agent Chain execution instead of a Task Queue for AI task routing?▼

You should use Agent Chain execution for simple tasks requiring immediate, synchronous responses, whereas a Task Queue is appropriate for complex, asynchronous jobs like overnight batch processing.