doca-flow-tune
doca-flow-tune 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 2026-10-26.
This skill allows tuning of a live or captured `doca-flow` pipeline by snapshotting pipe/counter/KPI state, selecting a tuning axis such as rule placement, resource hints/table sizing, or HW-offload mode, and measuring effects like rule-install rate, lookup latency, or hardware-counter delta. It can operate in offline or online modes and provides tools for analyzing and visualizing changes.
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 this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for measuring baseline numbers (doca-flow-perf), writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.
doca-flow-tune compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| doca-flow-tune (this page) | nvidia | Use this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapsh… | 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 doca-flow-tune
- What does doca-flow-tune do?
- This skill allows tuning of a live or captured `doca-flow` pipeline by snapshotting pipe/counter/KPI state, selecting a tuning axis such as rule placement, resource hints/table sizing, or HW-offload mode, and measuring effects like rule-install rate, lookup latency, or hardware-counter delta. It can operate in offline or online modes and provides tools for analyzing and visualizing changes.
- How do I install doca-flow-tune?
- 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 doca-flow-tune?
- nvidia.
- Is doca-flow-tune 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.
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