Best use case
agent-model-switcher is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
批量查看和切换子 agent 的模型配置，用于统一调整多 agent 的 provider/model 设置。
Teams using agent-model-switcher 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/agent-model-switcher/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-model-switcher Compares
| Feature / Agent | agent-model-switcher | 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?
批量查看和切换子 agent 的模型配置，用于统一调整多 agent 的 provider/model 设置。
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
# Agent Model Switcher 批量切换所有子 agent 的模型配置。 ## 用途 - 批量更换所有子 agent 的 model - 同步所有 agent 的 models.json 配置 - 查看所有 agent 当前的 model 配置 ## 使用方式 ### 1. 查看所有 agent 的 model 配置 ```bash python3 ~/clawd/skills/agent-model-switcher/switch_model.py list ``` ### 2. 更换所有子 agent 的 model（不包括 main） ```bash python3 ~/clawd/skills/agent-model-switcher/switch_model.py set <provider>/glm-5 ``` ### 3. 更换指定 agent 的 model ```bash python3 ~/clawd/skills/agent-model-switcher/switch_model.py set <provider>/glm-5 --agents code,ops,quant ``` ### 4. 同步所有 agent 的 models.json（从 main 复制） ```bash python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models ``` ### 5. 同步指定 agent 的 models.json ```bash python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models --agents batch,law,xiaotu ``` ## 参数说明 | 参数 | 说明 | |------|------| | `list` | 列出所有 agent 的 model 配置 | | `set <model>` | 设置 agent 的 model | | `sync-models` | 从 main 复制 models.json 到其他 agent | | `--agents <names>` | 指定要操作的 agent（逗号分隔） | | `--include-main` | 包括 main agent（默认不包括） | | `--dry-run` | 只显示将要执行的操作，不实际执行 | ## 常用模型 | 别名 | 完整名称 | |------|---------| | glm5 | <provider>/glm-5 | | glm47 | <provider>/glm-4.7 | | opus46 | <provider>/claude-opus-4-6 | | sonnet46 | <provider>/claude-sonnet-4-6 | | kimi | <provider>/kimi-k2.5 | ## 示例 ```bash # 查看当前配置 python3 ~/clawd/skills/agent-model-switcher/switch_model.py list # 全部子 agent 切换到 glm-5 python3 ~/clawd/skills/agent-model-switcher/switch_model.py set glm5 # 只切换 code 和 quant 到 opus-4-6 python3 ~/clawd/skills/agent-model-switcher/switch_model.py set opus46 --agents code,quant # 同步 models.json 配置 python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models ``` ## 注意事项 1. 修改配置后，agent 需要重新启动或等待新 session 才能生效 2. 同步 models.json 会覆盖目标 agent 的 models.json，确保 main 的配置是最新的 3. 建议先用 `--dry-run` 查看将要执行的操作
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