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Commits, branches and sync with the but CLI
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Tune DOCA Flow pipeline performance v1.0.0
Use this resource to tune a DOCA Flow pipeline, measuring each change with doca_flow_tune
New
- 310 downloads
- 106 likes
- 146 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install flow-pipeline-performance-tuningWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent takes a baseline measurement, picks one tuning axis (rule placement, table sizing or offload mode), then reads the CSV and analysis outputs. It then offers to apply a recommendation to the Flow program.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md : method and operating modes
- TASKS.md : configuration, tuning and diagnosis
- CAPABILITIES.md : online and offline modes
Good fit for
- Rule-install rate is low on a BlueField
- Table sizing does not match the pipe
Not for
Tags
- doca flow
- tuning
- performance
- tables
- measurement
About
You say
“Measure the rule-install rate of my Flow pipe before any tuning.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to tune a DOCA Flow pipeline, measuring each change with doca_flow_tune
- Review and adjust the result
Content preview
Files
- BENCHMARK.md10 KB
- CAPABILITIES.md24.4 KB
- evals/evals.json2.6 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md5.3 KB
- SKILL.md16.1 KB
- skill.oms.sig5.1 KB
- SKILLCARD.yaml2.7 KB
- TASKS.md29.5 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/doca-flow-tune
- Licence
- Apache-2.0
Notice
« doca-flow-tune » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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