profile-log

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Actualizado20 de marzo de 2026 a las 05:15

Analyze PX4 ULog file size by topic breakdown. Use when the user wants to understand what's taking up space in a .ulg log file.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

ARK-Electronics

ARK-Electronics/px4-log-analysis

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SKILL.md

readonly

name	profile-log
description	Analyze PX4 ULog file size by topic breakdown. Use when the user wants to understand what's taking up space in a .ulg log file.
argument-hint	<path-to-ulg-file>
allowed-tools	Bash(python3 *)

Profile ULog File Size

Run the size profiler on the given ULog file and interpret the results.

Before running

Resolve the log file path:
- First check if it already exists under logs/ in this repo (by filename match).
- If not found, check ~/Downloads/.
- If found outside the repo, catalogue it: create logs/<log-name>/, copy the .ulg there.

Command

python3 scripts/profile_log_size.py <resolved-log-path>

After running

Summarize the key findings: file size, duration, SDLOG_PROFILE, and the top space consumers.
Call out anything unusual — topics with unexpectedly high rates, oversized messages, or categories that dominate disproportionately.
If asked, suggest optimization opportunities (lower rates, unnecessary topics, SDLOG_PROFILE changes).
Create or update the logs/<log-name>/README.md catalogue entry per the convention in CLAUDE.md.

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name	profile-log
description	Analyze PX4 ULog file size by topic breakdown. Use when the user wants to understand what's taking up space in a .ulg log file.
argument-hint	<path-to-ulg-file>
allowed-tools	Bash(python3 *)

Profile ULog File Size

Run the size profiler on the given ULog file and interpret the results.

Before running

Resolve the log file path:
- First check if it already exists under logs/ in this repo (by filename match).
- If not found, check ~/Downloads/.
- If found outside the repo, catalogue it: create logs/<log-name>/, copy the .ulg there.

Command

python3 scripts/profile_log_size.py <resolved-log-path>

After running

Summarize the key findings: file size, duration, SDLOG_PROFILE, and the top space consumers.
Call out anything unusual — topics with unexpectedly high rates, oversized messages, or categories that dominate disproportionately.
If asked, suggest optimization opportunities (lower rates, unnecessary topics, SDLOG_PROFILE changes).
Create or update the logs/<log-name>/README.md catalogue entry per the convention in CLAUDE.md.