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AI & LLM Engineering · open-edge-platform/edge-ai-libraries
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Deploys and manages VSS through setup.sh and its Docker Compose overlays. | open-edge-platform/ | 171 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Search a video library with natural language via the VSS Pipeline Manager - upload a video (POST /videos), generate its embeddings (POST /videos/search-embeddings/{id}), then run a query (POST… | open-edge-platform/ | 171 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Download and convert AI models using the Model Download microservice. | open-edge-platform/ | 171 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and… | open-edge-platform/ | 171 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Develop the Multimodal Embedding Serving microservice itself — Poetry install, run the existing tests, navigate the wrapper/registry/handler architecture, add a new model family, and build the image… | open-edge-platform/ | 171 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout. | open-edge-platform/ | 171 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Deploy and consume the Multimodal Embedding Serving microservice — bring it up with setup.sh + docker compose (from a repo clone, or by fetching those same files from GitHub when no clone exists)… | open-edge-platform/ | 171 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
