Menu

Individual skill

plot-quadrotor

0upvotes

Use this skill when visualising drone simulation results. Produces three matplotlib figures — desired vs actual trajectories, instantaneous error, and cumulative absolute error — for all 5 state groups (position, orientation, velocity, angular velocity, acceleration). Saves figures to a plots/ directory automatically.

tasks/drone-planning-control/environment/skills/plot-quadrotor/SKILL.md

Read pinned source

Source commit f860ecf02ef53412a030f8661c83d644b739ff01

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Not checked yet
Last checked
Nov 3, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,904
Repository last updated
Nov 4, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Quadrotor Simulation Plotter

## Overview

Given actual and desired state matrices from a simulation run, generates three figures and saves them as PNG files.

## Input Format

```
state     : (15 x n) numpy array — actual drone state over time
state_des : (15 x n) numpy array — desired drone state over time
time_vec  : (n,)     numpy array — time axis in seconds
```