Skills comfypet-jmcai-skill
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/allen-jmc/comfypet-jmcai-skill" ~/.claude/skills/openclaw-skills-comfypet-jmcai-skill && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/allen-jmc/comfypet-jmcai-skill" ~/.openclaw/skills/openclaw-skills-comfypet-jmcai-skill && rm -rf "$T"
manifest:
skills/allen-jmc/comfypet-jmcai-skill/SKILL.mdsource content
JMCAI Comfypet Skill
先运行:
python scripts/jmcai_skill.py doctor python scripts/jmcai_skill.py registry --agent
然后按以下顺序执行:
- 根据
、summary
、tags
、input_modalities
、output_modalities
选择最合适的 workflow。example_prompts - 只填写 alias schema 中暴露的参数。
- 提交运行:
python scripts/jmcai_skill.py run --workflow <workflow_id> --args '{"prompt_1":"a cinematic scene"}'
- 读取
后,单次查询状态:run_id
python scripts/jmcai_skill.py status --run-id <run_id>
- 如需回看,再读取:
python scripts/jmcai_skill.py history --workflow <workflow_id> --limit 5
Parameter Rules
- 缺少
的参数时,向用户追问或在上下文足够明确时补齐required: true - 只能使用
返回的 alias 参数名registry --agent
类型参数对本机 bridge 仍可直接传本机绝对路径image- 当
指向局域网另一台桌面端时,skill 会自动把本机图片上传成bridge_url
,不用手工改写参数upload:<id> - 不要修改 schema、workflow 或 target 配置
Failure Handling
失败:提示用户启动或升级 JMCAI 桌面应用doctor
返回错误:把错误原文反馈给用户,不要伪造成功run
返回status
或queued
:告诉用户仍在生成,并在下一次独立调用中继续查询running
返回status
:优先返回success
中已经自动下载到当前机器的本地文件路径outputs
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。