Best use case
model-hierarchy-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
> 模型层级调度——根据任务复杂度自动选择合适的 LLM 模型
Teams using model-hierarchy-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/model-hierarchy-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How model-hierarchy-skill Compares
| Feature / Agent | model-hierarchy-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
> 模型层级调度——根据任务复杂度自动选择合适的 LLM 模型
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# model-hierarchy-skill > 模型层级调度——根据任务复杂度自动选择合适的 LLM 模型 **状态**: TODO — 目录已创建，待实现 ## 计划功能 - 任务复杂度评估 - 模型分级（简单→快速模型，复杂→强力模型） - 成本最优的模型选择策略 - 降级与回退机制 ## 相关文件 _待补充_
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