mcpbeat Sign in

Gantt Chart Generator Agent Skill

Use this skill whenever the user asks to visualize a project schedule, timeline, Gantt chart, or phase/task breakdown over time. It gives the agent a prebuilt, parameterized gantt() function so Gantt charts are produced instantly and consistently — with colour-coded groups, completion overlays, a today reference line, and auto-scaled date axes — instead of hand-writing matplotlib each time.

7k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
56 d ago
last touched
this folder, not the whole repository

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/cat-agent-skills --skill gantt-chart-generator

What comes with it

24 458 bytes besides the instruction
README.md
assets/sample_schedule.csv
metadata.json
references/cheatsheet.md
scripts/gantt.py

The instruction itself

3 sections, as written by the author

Generate horizontal Gantt charts from schedule data via the bundled scripts/gantt.py toolkit.

The gantt() function accepts a DataFrame or file path plus column names, and saves a PNG (returning the path).

It handles theming, date parsing, bar colour-coding, completion overlays, today-line, legend, and saving.

Instructions

  • Provide the data source: a pandas DataFrame, or a path to a .csv / .tsv / .json file.
  • One row = one task / phase.
  • Required columns: a phase/task name column, a start date column, and either an end date column OR a duration-in-days column.
  • Import and call gantt():
import sys
sys.path.insert(0, "scripts")   # adjust path to where gantt.py is deployed
from gantt import gantt

# Basic — start + end columns
gantt("schedule.csv", phase="Phase", start="Start", end="End",
      title="Project Schedule", out="gantt.png")

# Group colour-coding + today line
gantt(df, phase="phase", start="planned_start", end="planned_end",
      group="project", today=True, out="schedule.png")

# Duration instead of end date
gantt(df, phase="task", start="start_date", duration="days",
      out="schedule.png")

# Completion % hatch overlay
gantt(df, phase="Phase", start="Start", end="End",
      completion="PctDone", out="gantt.png")
  • See references/cheatsheet.md for full parameter reference and CLI examples.

Bundled files

  • scripts/gantt.py — the full toolkit (load_data, apply_theme, save_fig, gantt, CLI)
  • references/cheatsheet.md — parameter quick-reference and copy-paste examples
  • assets/sample_schedule.csv — demo dataset that exercises every feature

Defaults & behaviour

  • Colorblind-friendly palette (matches chart-builder skill for visual consistency).
  • Date axis auto-scales: weekly ticks ≤90 days, monthly ≤365 days, bi-monthly beyond.
  • Bars ordered top-to-bottom matching input row order.
  • Rows with missing phase or start values are silently dropped before drawing.
  • Output PNG at 150 DPI by default.
  • Provide end OR duration — not both; end takes priority if both are present.

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take microsoft/gantt-chart-generator from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.