suggest_next

Suggests optimal LLM model and Skill set for the next task.

1|Updated Dec 17, 2025

Search Tags:#workflow #planning #llm #ai-assistant #model-selection #task-classification #skill-catalog

Ready to run

npx skills add https://github.com/tatsuki-washimi/gwexpy --skill suggest-next

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: suggest_next
Source: https://github.com/tatsuki-washimi/gwexpy/tree/main/.agent/skills/suggest_next
Command: npx skills add https://github.com/tatsuki-washimi/gwexpy --skill suggest-next

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies the optimal LLM model and a compatible set of Skills for the next task, streamlining tool selection.

Core Features & Use Cases

Analyze task type (coding, research, refactoring, planning) and project context.
Recommend a primary model (Claude, Gemini, GPT family) and a matching skills catalog entry.
Provide justification and practical guidance to implement the chosen setup.

Quick Start

Run /suggest_next to receive a recommended model and skills with rationale.

Frequently Asked Questions about suggest_next

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

FAQPage Schema

How do I choose the best LLM model for a coding or research task?▼

Choosing the best LLM model for coding or research involves analyzing task type and project context to recommend a primary model like Claude, Gemini, or GPT. This approach tailors model selection to specific scenarios and provides a matching skill from the catalog with practical justification.

What is the best way to match AI skills with an LLM for refactoring?▼

Matching AI skills with an LLM for refactoring is done by evaluating task requirements against a skills catalog. The system outputs a recommended model name from available options and a compatible skill entry, ensuring your refactoring setup is tailored with practical implementation guidance.

Can I get a model recommendation for planning workflows without manual configuration?▼

Yes, you can get a model recommendation for planning workflows without manual configuration. By running a single command, the system analyzes your planning scenario, automatically outputs a recommended model and matching skill, and provides a detailed rationale to streamline tool selection.

Does task classification affect AI-assistant model selection for different scenarios?▼

Yes, task classification affects AI-assistant model selection by categorizing scenarios into coding, research, refactoring, or planning. This classification allows the system to tailor its output, recommending the optimal LLM model and compatible skills specifically suited to the identified task type.

When should I not use an automated model-selection skill for my project?▼

You should not use an automated model-selection skill when your project requires highly specialized constraints outside standard coding, research, refactoring, or planning scenarios. The tool relies on analyzing these specific task types to output a recommended model and matching skill from its available catalog.