comfypet-jmcai-skill
调用 JMCAI Comfypet 桌面应用中已经配置好的 ComfyUI 图片和视频工作流。用于查询可用 workflow、读取暴露参数、提交运行并轮询结果。适用于用户要求生成图片、生成视频或执行已配置 workflow 的场景；不适用于导入 workflow、修改 schema、修改 target 绑定或直连原生 ComfyUI 接口。
Best use case
comfypet-jmcai-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
调用 JMCAI Comfypet 桌面应用中已经配置好的 ComfyUI 图片和视频工作流。用于查询可用 workflow、读取暴露参数、提交运行并轮询结果。适用于用户要求生成图片、生成视频或执行已配置 workflow 的场景；不适用于导入 workflow、修改 schema、修改 target 绑定或直连原生 ComfyUI 接口。
Teams using comfypet-jmcai-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/comfypet-jmcai-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How comfypet-jmcai-skill Compares
| Feature / Agent | comfypet-jmcai-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?
调用 JMCAI Comfypet 桌面应用中已经配置好的 ComfyUI 图片和视频工作流。用于查询可用 workflow、读取暴露参数、提交运行并轮询结果。适用于用户要求生成图片、生成视频或执行已配置 workflow 的场景；不适用于导入 workflow、修改 schema、修改 target 绑定或直连原生 ComfyUI 接口。
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.
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SKILL.md Source
# JMCAI Comfypet Skill
先运行：
```bash
python scripts/jmcai_skill.py doctor
python scripts/jmcai_skill.py registry --agent
```
然后按以下顺序执行：
1. 根据 `summary`、`tags`、`input_modalities`、`output_modalities`、`example_prompts` 选择最合适的 workflow。
2. 只填写 alias schema 中暴露的参数。
3. 提交运行：
```bash
python scripts/jmcai_skill.py run --workflow <workflow_id> --args '{"prompt_1":"a cinematic scene"}'
```
4. 读取 `run_id` 后，单次查询状态：
```bash
python scripts/jmcai_skill.py status --run-id <run_id>
```
5. 如需回看，再读取：
```bash
python scripts/jmcai_skill.py history --workflow <workflow_id> --limit 5
```
## Parameter Rules
- 缺少 `required: true` 的参数时，向用户追问或在上下文足够明确时补齐
- 只能使用 `registry --agent` 返回的 alias 参数名
- `image` 类型参数对本机 bridge 仍可直接传本机绝对路径
- 当 `bridge_url` 指向局域网另一台桌面端时，skill 会自动把本机图片上传成 `upload:<id>`，不用手工改写参数
- 不要修改 schema、workflow 或 target 配置
## Failure Handling
- `doctor` 失败：提示用户启动或升级 JMCAI 桌面应用
- `run` 返回错误：把错误原文反馈给用户，不要伪造成功
- `status` 返回 `queued` 或 `running`：告诉用户仍在生成，并在下一次独立调用中继续查询
- `status` 返回 `success`：优先返回 `outputs` 中已经自动下载到当前机器的本地文件路径
需要 bridge 契约细节时，读取 `references/bridge.md`。
需要图片 / 视频工作流示例时，读取 `references/usage.md`。Related Skills
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