nvidia-skill-finder
Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA…
Use this skill when the operator is driving the DOCA Telemetry Traceback application to monitor telemetry data locally on a BlueField DPU or ConnectX NIC, detect long-term trends and threshold breaches with user-defined rules, and capture pre-event history plus active-event data
Claude Code
$ npx -y skills add NVIDIA/skills --skill doca-telemetry-traceback-application --agent claude-code
Codex
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a codex -y
Cursor
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a cursor -y
Gemini CLI
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a gemini-cli -y
GitHub Copilot
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a github-copilot -y
OpenCode
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a opencode -y
Windsurf
$ npx skills add NVIDIA/skills --skill doca-telemetry-traceback-application -a windsurf -y
license: Apache-2.0
name: doca-telemetry-traceback-application
description: >
Use this skill when the operator is driving the DOCA Telemetry
Traceback application to monitor telemetry data locally on a
BlueField DPU or ConnectX NIC, detect long-term trends and
threshold breaches with user-defined rules, and capture
pre-event history plus active-event data to a log file. Trigger
even when the user does not explicitly mention "DOCA Telemetry
Traceback" — typical implicit phrasings include "monitor
telemetry trends on the DPU without streaming all raw data",
"log the samples before and after a threshold breach", "set up
a rule that triggers when rx bytes/s exceeds 1M", "differential
greater than rule on a data ID", "circular buffer of telemetry
samples", or "traceback event log". Refuse and route elsewhere:
the DOCA Telemetry Diag programming API and raw counter reads to
doca-telemetry, DOCA install/bring-up to doca-setup, and version
questions to doca-version.
metadata:
author: NVIDIA <doca-feedback@nvidia.com>
kind: tool
doca_version: "3.5"
tags:
- doca
- telemetry
- traceback
- monitoring
compatibility: >
Requires DOCA SDK installed at /opt/mellanox/doca on Linux with a
BlueField DPU or ConnectX NIC, plus root privileges to access
hardware-level telemetry data. The application is distributed as
source code and must be compiled before execution; the source is
located at /opt/mellanox/doca/applications/telemetry/traceback/.
Validation steps require a live DOCA install.These requests are out of scope: say so, name the skill that owns the request, and stop.
`doca-telemetry`'s: the application uses Diag internally, but programming the Diag API is not this skill. Name `doca-telemetry` for it and do not write Diag API code here; handle every other part of the request as this skill describes (for example, `--force-ownership` still goes through `doca-hardware-safety`).
The authoritative source for the binary name, flags, and paths is the public DOCA Telemetry Traceback guide for the release; confirm them with the installed tool's `--help` before quoting any of them. As that guide describes it:
DOCA Telemetry Diag instance, sample history circular buffer, rule collection, and events log file.
`data-ids` array, and `rules` array. Rule types are `incremental_greater_than` (`inc_gt`), `differential_greater_than` (`dt_gt`), `differential_less_than` (`dt_lt`), `greater_than` (`gt`), and `less_than` (`lt`).
depth to ensure equal historical and active event data.
JSON; optional `--event-log` and `--force-ownership`.
the requested parameters.
through `doca-hardware-safety/SKILL.md`.
Follow Loading order below. Open the tasks companion for configure / build / run / debug. Open the capabilities companion for what the application monitors and logs. Do not open every companion file.
**Where to start:** This is a tool skill for invoking the DOCA Telemetry Traceback application — the local telemetry monitoring and traceback logging service that processes telemetry data on the device and writes event logs when user-defined rules trigger. Open the tasks companion and start at `## configure` for the JSON configuration and rule definitions, then `## run` for compile and execution. Open the capabilities companion when the question is *what data can be monitored, what rules evaluate, and what the event log contains*. If the user has not installed DOCA yet, route to `doca-setup/SKILL.md` first. If the user asks about version, route to `doca-version/SKILL.md`. If any step changes hardware or firmware state (e.g., `--force-ownership`), route to `doca-hardware-safety/SKILL.md`.
**How to use this skill.** Read this file, then search the companion file for the `## <name>` heading the question needs and read that whole section. Answer completely from it, quoting only its symbols and commands. Do not browse docs; use the entry points in `doca-public-knowledge-map`. Give environment checks as commands for the user's DOCA host. For out-of-scope requests, name the skill that owns them and stop.
Compile and run commands are documented in the tasks companion; the authoritative source is the public guide. The application is distributed as source and must be compiled before execution. The source is located at `/opt/mellanox/doca/applications/telemetry/traceback/`.
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