Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Use Galaxy repository guidance for server configuration, APIs, tool and workflow development, data/storage, Tool Shed operations, and web-client development.
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See how to installReview the instructions the agent will receive before you install.
Use this skill when a task involves the Galaxy scientific workflow platform repository: configuring or starting a Galaxy server, automating the Galaxy API, authoring tools or workflows, working with datatypes/storage, operating Tool Shed repositories, or developing the Vue/TypeScript web client.
Galaxy is a large package-centric Python and web monorepo. Start with the route map below, then read only the sub-skill and references that match the task.
python scripts/inspect_galaxy_environment.py --help for a safe environment/package-layout diagnostic helper.galaxy.yml, run.sh, Gravity/startup, config validation, jobs, dependency resolvers, admin configuration, and startup troubleshooting.401/403/400 debugging.galaxy-tool-util CLIs, and dependency/mulled hints.shed_tool_conf.xml, and Whoosh indexes.client/ pnpm workspace tasks, Vue/TypeScript code, Vitest, Pinia, MSW/OpenAPI mocks, Vite dev server, generated API-client package, and client build/test troubleshooting.galaxy.yml, config samples, startup, database settings, jobs, dependency resolvers, or admin deployment, start with Configuration and Admin.curl, API keys, bioblend, OpenAPI, histories, datasets, or workflow invocation through HTTP, start with API Automation..loc, data managers, object stores, file sources, storage templates, cloud credentials, or cleanup scripts, start with Data and Storage.pnpm, Vitest, MSW, generated API client, or Vite proxy settings, start with Web Client Development.Galaxy supports both a root checkout workflow and split packages under packages/. For coding-agent inspection, prefer scoped imports and split-package metadata over broad full-server installs unless the task explicitly needs a runnable Galaxy service.
Minimum orientation checks:
python - <<'PY'
import galaxy.version
print(galaxy.version.VERSION)
PY
python scripts/inspect_galaxy_environment.py --expected-version 26.2.dev0
The helper is read-only. It reports Python version, importability of representative Galaxy modules, installed split-package metadata when available, and common package-layout caveats. It does not start Galaxy, install dependencies, build the client, contact services, or mutate config/data.
Run refresh-repo-skill if the current Galaxy checkout commit, dirty source state, package version, split-package metadata, public API routes, tool-util CLIs, client workspace commands, or major evidence paths differ from Repository Provenance.
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Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
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Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
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Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
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Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.
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Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
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