计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
ai-assisted-annotation【效率与协作】Guides labelme AI Assist and AI Text Prompt workflows, model and prompt compatibility, output Shape selection, suppression, and optional model-runtime troubleshooting.
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Use this route when a task involves labelme's AI-Points/AI-Box Assist modes, AI Text Prompt, SAM-family/EfficientSAM/YOLO-World models, output Shape formats, or duplicate existing-Shape handling.
scripts/check_ai_prompt_compatibility.py before a real model session.references/troubleshooting.md.sam3:latest supports box prompts but not point prompts; labelme rejects the
incompatible point prompt before creating the model session.yoloworld:latest and sam3:latest in the GUI.Use fake-session unit-test patterns or the compatibility helper to verify routing without downloading weights. A successful import of osam/onnxruntime is not proof that a real model is downloaded, loaded, or accurate. Keep prompt compatibility enforced before model download or inference as required by the repository's AI Assist policy.
references/model-and-prompt-reference.md for model ids, outputs, and
session behavior.references/workflows.md for point, box, and text prompt procedures.references/troubleshooting.md for network, cache, response-shape, and
prompt errors.scripts/check_ai_prompt_compatibility.py --model sam3:latest --prompt points
to fail fast before any model work.Route Annotation File persistence to ../annotation-data/SKILL.md, Settings and
CLI flags to ../cli-and-config/SKILL.md, conversion of resulting Shapes to
../dataset-export/SKILL.md, and source/test changes to
../repo-development/SKILL.md.