How do I install the Suggest Model skill?

Run npx skillmds@latest add majiayu000/suggest-model 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 Suggest Model skill do?

次のタスクの内容（コーディング、リサーチ、リファクタリングなど）に応じて、最適なLLMモデルを提案する It is listed under AI & ML on SkillMD.

Is Suggest Model safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Suggest Model?

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.

Is Suggest Model free to use?

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

Who published Suggest Model?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Suggest Model by majiayu000 — Agent Skill

Name: Suggest Model
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

Suggest AI Development Tool & Model

Suggest the optimal combination of models and tools from the available development environments (Google Antigravity, OpenAI Codex, Gemini CLI, VS Code) based on the nature of the task.

1. Available Models and Environments (as of 2026)

Google Antigravity (Google One AI Pro plan)

Gemini 3 Pro (High/Low): High precision, deep reasoning, and hyper-large context. Best for repository-wide analysis and complex designs.
Gemini 3 Flash: Rapid response. Best for small-scale fixes and batch processing.
Claude Sonnet 4.5 (with/without Thinking): General-purpose model with an excellent balance of reasoning and generation. The "Thinking" version is for complex logical construction.
Claude Opus 4.5 (Thinking): Top-tier analytical power. Best for strict physical/mathematical verification and difficult bug fixes.
GPT-OSS 120B (Medium): Large-scale model based on open source.

OpenAI Codex (Team plan / CLI / IDE Extension)

GPT-5.2 / GPT-5.2-Codex: Specializing in the latest engineering. For large-scale refactoring and tool integration.
GPT-5.1-Codex-Max: Long-duration autonomous execution and sustained large-scale tasks. Includes context compression for end-to-end execution.
GPT-5.1-Codex-Mini: For small-scale, rapid autonomous fixes.

Gemini CLI (Free Trial)

Gemini 2.5 Pro / Flash / Flash Lite: For lightweight tasks via CLI or quick investigations.

VS Code (GitHub Copilot / Ollama)

GitHub Copilot: Real-time completion.
Ollama (llama3.1:8b, qwen2.5:7b, gemma3:4b, etc.): For local execution, highly sensitive experiments, and offline work.

2. Recommended Usage

Large-scale structural changes / Physical-mathematical implementations: Claude Opus 4.5 (Thinking) or Gemini 3 Pro (High)
Long-duration, complex autonomous end-to-end execution: GPT-5.1-Codex-Max
High-speed coding / Documentation: Gemini 3 Flash or Claude Sonnet 4.5
Local confidential prototyping: Ollama (qwen2.5:7b / llama3.1:8b)

3. Procedure

Identify Task Category: Determine whether the primary purpose is analysis, implementation, testing, or documentation.
Consider Resource Status: Select the optimal environment considering the quota (High/Medium/Low).
Proposal: Present the name of the model and environment along with specific advantages.

---name: suggest-modeldescription: 次のタスクの内容（コーディング、リサーチ、リファクタリングなど）に応じて、最適なLLMモデルを提案する--- # Suggest AI Development Tool & Model Suggest the optimal combination of models and tools from the available development environments (Google Antigravity, OpenAI Codex, Gemini CLI, VS Code) based on the nature of the task. ## 1. Available Models and Environments (as of 2026) ### Google Antigravity (Google One AI Pro plan) * **Gemini 3 Pro (High/Low)**: High precision, deep reasoning, and hyper-large context. Best for repository-wide analysis and complex designs. * **Gemini 3 Flash**: Rapid response. Best for small-scale fixes and batch processing. * **Claude Sonnet 4.5 (with/without Thinking)**: General-purpose model with an excellent balance of reasoning and generation. The "Thinking" version is for complex logical construction. * **Claude Opus 4.5 (Thinking)**: Top-tier analytical power. Best for strict physical/mathematical verification and difficult bug fixes. * **GPT-OSS 120B (Medium)**: Large-scale model based on open source. ### OpenAI Codex (Team plan / CLI / IDE Extension) * **GPT-5.2 / GPT-5.2-Codex**: Specializing in the latest engineering. For large-scale refactoring and tool integration. * **GPT-5.1-Codex-Max**: Long-duration autonomous execution and sustained large-scale tasks. Includes context compression for end-to-end execution. * **GPT-5.1-Codex-Mini**: For small-scale, rapid autonomous fixes. ### Gemini CLI (Free Trial) * **Gemini 2.5 Pro / Flash / Flash Lite**: For lightweight tasks via CLI or quick investigations. ### VS Code (GitHub Copilot / Ollama) * **GitHub Copilot**: Real-time completion. * **Ollama (llama3.1:8b, qwen2.5:7b, gemma3:4b, etc.)**: For local execution, highly sensitive experiments, and offline work. ## 2. Recommended Usage 1. **Large-scale structural changes / Physical-mathematical implementations**: `Claude Opus 4.5 (Thinking)` or `Gemini 3 Pro (High)` 2. **Long-duration, complex autonomous end-to-end execution**: `GPT-5.1-Codex-Max` 3. **High-speed coding / Documentation**: `Gemini 3 Flash` or `Claude Sonnet 4.5` 4. **Local confidential prototyping**: `Ollama (qwen2.5:7b / llama3.1:8b)` ## 3. Procedure 1. **Identify Task Category**: Determine whether the primary purpose is analysis, implementation, testing, or documentation. 2. **Consider Resource Status**: Select the optimal environment considering the quota (High/Medium/Low). 3. **Proposal**: Present the name of the model and environment along with specific advantages.

Frequently asked questions

Suggest Model