advisor

Provide tactical strategy guidance via a configured chat-model tool.

356|66|Updated Oct 13, 2025

Search Tags:#planning #debugging #tool calling #workflow execution #strategy #advisor #prompting

Ready to run

npx skills add https://github.com/zeenie-ai/MachinaOS --skill advisor-zeenie-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: advisor
Source: https://github.com/zeenie-ai/MachinaOS/tree/main/server/skills/assistant/advisor
Command: npx skills add https://github.com/zeenie-ai/MachinaOS --skill advisor-zeenie-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you avoid wasted effort by getting high-quality strategic guidance from a stronger, operator-configured chat model before you commit to an approach.

Core Features & Use Cases

Strategy-first planning: Consults the wired chat-model tool to generate an execution plan mindset at the start of complex tasks.
Recovery when stuck: Re-queries the advisor when attempts stall, errors repeat, or results fail to match expectations.
Final sanity-check: Requests a last tactical review before declaring the work complete, improving completeness and durability.

Quick Start

Ask the advisor a single, focused question and include what you have tried and what happened so far, without specifying model or API key.

Frequently Asked Questions about advisor

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

FAQPage Schema

Why does strategy-first planning help avoid wasted effort in software engineering?▼

Strategy-first planning helps avoid wasted effort by consulting a stronger chat model before committing to an approach. This ensures you receive high-quality tactical guidance to correct your execution plan early in complex software engineering tasks.

How do I get strategy guidance for complex workflow execution before committing to an approach?▼

Strategy guidance for workflow execution is obtained by querying a configured chat model with your task context. This generates tactical advice and an execution plan mindset to steer complex tasks toward correct completion before you act.

What is the best way to recover when workflow execution stalls or repeated debugging errors occur?▼

The best way to recover stalled workflow execution is to re-query the advisor with what you tried and what happened. This provides fresh tactical strategy to resolve conflicts and correct repeated errors during debugging.

Can I perform a final sanity-check on task planning and deliverables before declaring them done?▼

You can perform a final sanity-check on deliverables by requesting a tactical review from the chat model. This last strategy assessment improves completeness and durability immediately before you declare the work complete.

Do I need to specify a model or API key to get tactical advice for prompting complex tasks?▼

You do not need to specify a model or API key to get tactical advice. The strategy guidance uses only the operator-configured chat-model tool, requiring only a prompt field with relevant context to return brief advice.

Why does strategy-first planning help avoid wasted effort in software engineering?▼