Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Deploy Sky Map to the Google Play Store using fastlane. Trigger on "deploy to Play Store", "release to internal", "promote to beta/production", "upload metadata", or similar Play Store release requests.
Make a new release of Sky Map and publish it to the Play Store.
Use when adding observability to a Shiny for Python (py-shiny) app with OpenTelemetry - tracing reactive execution, profiling slow outputs or update cycles, monitoring sessions in production, exporting spans to a backend (Jaeger, Logfire, Honeycomb, Datadog, OTLP), suppressing telemetry for sensitive code, or when tempted to call trace.set_tracer_provider() inside app code to set up instrumentation.
Walk through the full Shiny for Python release train interactively, phase by phase. Use when the user says "release", "start a release", "py-shiny release", "release train", or wants to publish new versions of py-shiny and its ecosystem packages (py-htmltools, py-shinyswatch, py-shinywidgets, shinylive, py-shinylive, r-shinylive). Guides through version bumps, CI checks, tagging, PyPI publishing, conda-forge, Huggingface, site updates, and blog post publication.
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.
Deploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to `vss-generate-video-calibration` when calibration is missing. Use `vss-deploy-profile` for the full warehouse blueprint and `vss-deploy-detection-tracking-2d` for single-camera 2D detection.
Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill.
Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Redis/Kafka/OTel integration, common failure modes, and teardown.
Update the BDD test container image when its dependencies or runtime change. Determines version bump (major vs minor vs patch), rebuilds the Docker image, pushes to GitLab registry, and updates the image tag in start_test.sh. Test source (tests/, features/, scripts/, data/, conftest.py) is bind-mounted from the host repo at runtime, so pure test code changes do NOT require a container rebuild. Use only when files that the container bakes in are modified: Dockerfile, docker-entrypoint.sh, pyproject.toml, poetry.lock.