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SkillsMP hat 16 Skills aus open-edge-platform/geti gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/open-edge-platform/geti.Es werden 16 von 16 gesammelten Skills angezeigt.
Create projects, manage labels, and annotate media in the Geti application via its REST API. Use when a user wants to create a project with a task type and label set, add/edit/remove labels, upload images or videos, draw or set annotations (classification…
Quellsprache: Englisch
Develop and validate changes in `application/backend/` for the FastAPI `geti` service. Use when changing backend source or tests as well as packaging and configuration. This includes API routers and schemas; services and repositories; database code; UI-facing…
Quellsprache: Englisch
Update documentation (READMEs, application docs, or inline docstrings) to reflect changes, fixes, or new features. Use when a PR modifies behavior that should be documented for users or developers.
Quellsprache: Englisch
Import and export datasets in the Geti application via its REST API. Use when a user wants to bring an existing dataset into Geti (COCO/YOLO/VOC/Datumaro), migrate data from another tool, export a project's dataset or a dataset revision, remap labels or…
Quellsprache: Englisch
Regenerate and validate the OpenAPI contract between `application/backend/` and `application/ui/`. Use when backend endpoints, schemas, request or response models, or API surface change, or when `application/ui/src/api/openapi-spec.json` or…
Quellsprache: Englisch
Configure and validate the Geti runtime inference pipeline in application mode. Use when a user needs to set up or troubleshoot source → model → sink configuration, tune pipeline parameters, diagnose bad predictions or throughput issues, verify deployment…
Quellsprache: Englisch
Run and operate live inference in the Geti application pipeline. Use when a user wants to start, monitor, stop, or recover source -> model -> sink runtime execution, verify production readiness, or troubleshoot live pipeline behavior such as stalls, dropped…
Quellsprache: Englisch
Develop and validate changes in `application/ui/` for the React and TypeScript frontend. Use when touching `application/ui/src/**`, frontend tests, RSBuild or Vitest config, Playwright setup, package scripts, or generated API typings under `src/api`. Helps…
Quellsprache: Englisch
Use the Geti application end to end through its REST API — the project → dataset → annotate → train → deploy pipeline served by the FastAPI backend in `application/backend/`. Use when a user (not a contributor) wants to create a project, upload media, add…
Quellsprache: Englisch
Develop and validate changes in `library/` for the `getitune` Python package. Use when changing library source or tests as well as packaging, recipes and model manifests. This includes Python APIs and CLI behavior across training and export. Covers…
Quellsprache: Englisch
Discover which models, recipes, and tasks the getitune library (the Geti training library) supports before training. Use when a user asks what models are available, how to list recipes, how to filter by task or name pattern, how `list_models(...)` and…
Quellsprache: Englisch
Export a trained getitune model (the Geti training library) to a deployable format. Use when a user wants to run `engine.export(...)` or `getitune export`, choose between OpenVINO IR and ONNX, set FP32 vs FP16 precision with `ExportFormat` / `Precision`, or…
Quellsprache: Englisch
Optimize an exported getitune model (the Geti training library) with post-training quantization. Use when a user wants to run `OVEngine.optimize()` / `engine.optimize()` to produce an INT8 model via NNCF, understands calibration-set requirements, or needs to…
Quellsprache: Englisch
Prepare and point datasets at the getitune library (the Geti training library) for training, testing, and prediction. Use when a user asks which dataset formats are supported, how the `data=` argument of `create_engine(...)` / `--data_root` works, why format…
Quellsprache: Englisch
Run inference and evaluation with a getitune model (the Geti training library). Use when a user wants to call `engine.predict()` / `engine.test()` or `getitune predict` / `getitune test`, run inference with a PyTorch checkpoint versus an exported OpenVINO IR…
Quellsprache: Englisch
Train a computer-vision model with the getitune library (the Geti training library) using its Python API or CLI. Use when a user wants to train, fine-tune, or evaluate a model with `create_engine(...)` and `engine.train()/engine.test()`, run `getitune…
Quellsprache: Englisch