chart-extract

Extract tabular data from experimental results into JSON and Markdown tables.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Jiale-Zou/Thesis-Agent --skill chart-extract
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chart-extract
Source: https://github.com/Jiale-Zou/Thesis-Agent/tree/main/skills/chart-extract
Command: npx skills add https://github.com/Jiale-Zou/Thesis-Agent --skill chart-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps data analysts automatically extract and structure tabular data from experimental results for visualization, eliminating tedious manual table creation.

Core Features & Use Cases

  • Table extraction: Pulls out exploratory data, model coefficients, and prediction results into clear Markdown tables.
  • Use Case: Generate ready-to-plot data tables from sets of experiment outputs to feed charts and dashboards.
  • Variations: Supports extracting multiple tables in parallel and preserving data types for accurate visualizations.

Quick Start

Feed in the experimental results and request extraction of all relevant tables for charts.

Frequently Asked Questions about chart-extract

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

FAQPage Schema
How do I extract tabular data from experimental results for visualization?

To extract tabular data from experimental results for visualization, feed the results into the Skill and request extraction. It parses structured inputs and outputs Markdown-formatted tables alongside a JSON payload for charts.

What is the best way to convert model fitting and parameter comparison outputs into Markdown tables?

The best way to convert model fitting and parameter comparison outputs into Markdown tables is to use an extraction tool that structures experimental results automatically. It preserves data types and outputs ready-to-plot tables.

Can I generate multiple data tables in parallel from exploratory analysis results?

Yes, you can generate multiple data tables in parallel from exploratory analysis results. The extraction process supports pulling multiple tables simultaneously while preserving data types for accurate visualizations.

Does the table extraction tool output JSON payloads compatible with chart dashboards?

Yes, the table extraction tool outputs JSON payloads compatible with chart dashboards. It generates charts objects and Markdown-formatted tables designed to feed directly into data visualization workflows.

What input format is required to extract structured tables for data visualization?

The input format required to extract structured tables for data visualization must be formatted in a way that can be parsed into structured tables. The tool assumes the experimental results are already structured appropriately.