Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: autopilot

Englisches Verzeichnis

A collection of development workflow skills for Claude Code including planning, delegation, and review capabilities.

10
Stars
66/100
Trust
Kategorie: coding-agentsAudit

Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀

1.6K
Stars
84/100
Trust
Kategorie: agent-frameworksAudit

Autopilot is a skill for Claude Code, Cursor, and Codex that turns a brief into a complete project by asking clarifying questions, generating specs, and managing tasks.

199
Stars
77/100
Trust
Kategorie: coding-agentsAudit

A simple, cross-platform GUI automation module for Python and Rust.

980
Stars
69/100
Trust
Kategorie: automationAudit

Firmament Autopilot Embedded System

714
Stars
71/100
Trust
Kategorie: robotics-iotAudit

Composable Agent Skills for Claude and Codex that guide an idea from validation through sequenced build to shipping, with manual and autonomous tiers.

78
Stars
66/100
Trust
Kategorie: coding-agentsAudit

Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

373
Stars
63/100
Trust
Kategorie: robotics-iotAudit

Every other tool executes. This one decides what to execute. Chief of Staff skill for Claude Code.

24
Stars
63/100
Trust
Kategorie: utilityAudit

:rocket: Cross-platform desktop automation module for Deno.

503
Stars
63/100
Trust
Kategorie: productivity-automationAudit

Surveillance Detection Scout: Your Lookout on Autopilot

383
Stars
61/100
Trust
Kategorie: legal-complianceAudit

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.

190
Stars
59/100
Trust
Kategorie: robotics-iotAudit