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SkillsMP hat 5 Skills aus google-deepmind/agentic_ecology gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
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Provides capabilities to run SpeciesNet detector and classifier on camera trap images, extract crop-level feature embeddings, and populate a Hoplite vector database for downstream search and agile modeling.
Quellsprache: Englisch
Initializes a local uv-managed project directory for agentic ecology workloads. Sets up Python dependencies using reference pyproject.toml and uv.lock, configures workspace rules, and ensures Agentic Ecology skills are discoverable.
Quellsprache: Englisch
Provides bioacoustic analysis capabilities for ecologists and researchers using the perch-hoplite Python package. A typical use case is to use agile modeling to bootstrap the creation and deployment of a bespoke detector for targeted species on an existing…
Quellsprache: Englisch
Provides guidelines and reference implementations for uploading local data (such as audio recordings or datasets) to cloud storage systems, focusing on Google Drive via rclone as the primary target.
Quellsprache: Englisch
Guidelines and templates for creating a generic web UI to visualize, rank, filter, and annotate vector databases. The UI has a hierarchical structure covering database selection, label selection/definition, ranking/filtering configuration, and row…
Quellsprache: Englisch