aggregation-modes-and-event-vlines

Debug configuration-driven time-series visualization pipelines using config.yaml and script/visualizer.py.

Updated Aug 23, 2026

Search Tags:#debugging #configuration #data pipeline #visualization #time-series #event markers

Ready to run

npx skills add https://github.com/Rukkha1024/replace_V3D --skill aggregation-modes-and-event-vlines

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aggregation-modes-and-event-vlines
Source: https://github.com/Rukkha1024/replace_V3D/tree/main/.claude/skills/aggregation-modes-and-event-vlines
Command: npx skills add https://github.com/Rukkha1024/replace_V3D --skill aggregation-modes-and-event-vlines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps diagnose and fix issues in complex, configuration-driven time-series visualization pipelines, particularly those involving data aggregation, event markers, and custom output formatting.

Core Features & Use Cases

Configuration Debugging: Pinpoint errors in aggregation_modes (filters, grouping, overlays) and event_vlines (event markers, styling).
Pipeline Validation: Ensure visualization outputs match intended logic for file splitting, filename patterns, and event display.
Use Case: You've configured a visualization to overlay multiple subject's performance data, but it's producing a single file instead of splitting by subject as expected. This Skill helps you identify the overlay_within misconfiguration.

Quick Start

Use the aggregation-modes-and-event-vlines skill to debug why event vlines are not appearing in your time-series plots.

Frequently Asked Questions about aggregation-modes-and-event-vlines

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

Why are event vlines not showing up in my time-series visualization?▼

Event vlines may not appear in your time-series visualization due to event marker configuration errors in `config.yaml`. This Skill checks event styling and filter application logic against `script/visualizer.py` to identify the mismatch.

How do I fix time-series plots generating a single file instead of splitting by subject?▼

Time-series plots producing a single file often stem from an `overlay_within` misconfiguration in `config.yaml`. This Skill debugs aggregation modes and filename patterns to restore proper subject-based file splitting.

How do I debug overlay behavior for grouped time-series data?▼

To debug overlay behavior for grouped time-series data, this Skill validates grouping and filter application parameters within your aggregation modes configuration against the visualizer script's execution logic.

What is the best way to troubleshoot group-specific styling issues in a data pipeline?▼

The best way to troubleshoot group-specific styling issues in a data pipeline is to validate the `config.yaml` parameters against `script/visualizer.py` to ensure group filters and event vline styling match intended logic.

Can I use this to fix filename pattern errors in a visualization pipeline?▼

Yes, you can use this to fix filename pattern errors in a visualization pipeline by validating your configuration logic against the visualizer script to ensure output formatting matches the intended file splitting rules.

How do I validate aggregation mode filters for time-series data?▼

To validate aggregation mode filters for time-series data, this Skill cross-references your `config.yaml` filter settings with `script/visualizer.py` to detect application failures and ensure correct pipeline output.