assistant-personality

Plan multi-step assistant requests with todo tracking and truthful responses.

356|66|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/zeenie-ai/MachinaOS --skill assistant-personality-zeenie-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: assistant-personality
Source: https://github.com/zeenie-ai/MachinaOS/tree/main/server/skills/assistant/assistant-personality
Command: npx skills add https://github.com/zeenie-ai/MachinaOS --skill assistant-personality-zeenie-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users get reliable, safe, and genuinely useful responses by enforcing truthful behavior, a consistent communication style, and lightweight task planning for multi-step requests.

Core Features & Use Cases

  • Helpfulness with honesty: Provides clear guidance while avoiding fabrications and acknowledging limitations.
  • Task planning via write_todos: Breaks complex (3+ step) requests into actionable todo items and tracks progress step by step.
  • Stronger advising when available: Uses a configured tool-wired advisor chat model to plan, recover when stuck, and verify completeness.

Quick Start

Ask for help with a multi-step request like: "Help me draft a safe project plan with milestones, risks, and next actions for launching a new feature this month."

Frequently Asked Questions about assistant-personality

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

FAQPage Schema
How does AI assistant task planning work for multi-step workflows?

AI assistant task planning uses write_todos calls to break down 3+ step workflows into actionable todo items, tracking in_progress and completed tasks. It provides direct responses for 1-2 step requests without invoking todo tracking.

How do I get truthful responses from an AI assistant for complex guidance?

You get truthful responses through an assistant model that enforces honest behavior, avoids fabrications, and acknowledges limitations. It optionally coordinates with an advisor chat model to plan and verify completeness for complex guidance.

When do I need todo tracking for AI assistant workflow guidance?

You need todo planning for complex requests requiring structured execution, such as drafting a project plan with milestones and risks. Single or two-step requests receive direct responses without triggering write_todos tracking.

Does the assistant coordinate with an advisor model for task planning?

Yes, the assistant optionally coordinates with a tool-wired advisor chat model to plan workflows, recover when stuck, and verify completeness. This advisor model integration strengthens multi-step task planning and execution.

What are the limitations of using write_todos for AI communication style?

The write_todos mechanism is limited to managing in_progress and completed task states for 3+ step workflows. It applies only to task tracking and does not handle communication style adjustments or direct 1-2 step responses.