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profile-log

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업데이트2026년 3월 20일 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.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

ARK-Electronics

ARK-Electronics/px4-log-analysis

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

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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Analyze barometric pressure bias from a PX4 ULog — thrust pressurization, ground effect, thermal drift, and EKF impact. Use when the user wants to investigate baro-related altitude errors, Z velocity drift, or ground effect issues.

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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.