paidf-orchestration-write-dag
paidf-orchestration-write-dag is an agent skill published by nvidia, listed under deploy & operate. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
This tool is used to create a custom PAIDF Orchestration pipeline in Airflow, ensuring that the model, container, and prompt choices in a new or existing Kubernetes DAG match an external specification document such as a PAIDF `launchable.md`. No existing DAG in airflow/dags/workflows/ covers the specific combination of stages requested by the user.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
Maintenance
Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a PAIDF `launchable.md`).
paidf-orchestration-write-dag compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| paidf-orchestration-write-dag (this page) | nvidia | Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages su… | 3,735 | 2026-10-26 |
| amc-setup-calibration-stack(same repository) | nvidia | Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says… | 3,735 | 2026-10-26 |
| cuopt-install(same repository) | nvidia | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from… | 3,735 | 2026-10-26 |
| cupynumeric-hdf5(same repository) | nvidia | Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5:… | 3,735 | 2026-10-26 |
| data-designer(same repository) | nvidia | Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. | 3,735 | 2026-10-26 |
| deepstream-generate-pipeline(same repository) | nvidia | Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image in… | 3,735 | 2026-10-26 |
| deepstream-import-vision-model(same repository) | nvidia | Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVID… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about paidf-orchestration-write-dag
- What does paidf-orchestration-write-dag do?
- This tool is used to create a custom PAIDF Orchestration pipeline in Airflow, ensuring that the model, container, and prompt choices in a new or existing Kubernetes DAG match an external specification document such as a PAIDF `launchable.md`. No existing DAG in airflow/dags/workflows/ covers the specific combination of stages requested by the user.
- How do I install paidf-orchestration-write-dag?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes paidf-orchestration-write-dag?
- nvidia.
- Is paidf-orchestration-write-dag maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
More agent skills for deploy & operate
- ai-content-pipelineby 101-skills
- explainer-video-guideby 101-skills
- ci-cd-and-automationby addyosmani
- observability-and-instrumentationby addyosmani
- internal-commsby anthropic
- xlsxby anthropic