Does this skill support coordinate conversion?

Yes, it includes scripts to convert between FTC meters, tile coordinates, and Pedro inches, as well as alliance mirroring.

How does it help maintain code quality?

It includes anti-patterns that advise against hard-coding field positions and mixing different coordinate systems in the same codebase.

Can it help with autonomous path planning?

Absolutely. It provides exact X, Y, and Heading coordinates for key field locations like the Classifier and Start positions.

Which IDEs are compatible with this skill?

This skill works with Claude Code, Codex CLI, VS Code Copilot, and Cursor.

What is the primary purpose of the decode skill?

It provides specialized knowledge about the FTC DECODE 2025-2026 game, helping developers write better robot code with accurate field data and coordinates.

FTC DECODE 2025-2026 Reference

Name: FTC DECODE 2025-2026 Reference
Author: ncssm-robotics

byncssm-robotics

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Game Development

Provides comprehensive reference data and coordinate conversion utilities for the FIRST Tech Challenge DECODE 2025-2026 season.

About

This skill acts as an intelligent manual and utility suite for robotics teams competing in the FIRST Tech Challenge DECODE season. It enables Claude to assist with autonomous path planning using Pedro coordinates, calculate scores based on game-specific rules, and enforce robot constraints like the 3-artifact control limit. By integrating field layouts, coordinate conversion scripts, and coding best practices, it helps developers build more robust, reliable robot code while avoiding common pitfalls like hard-coded magic numbers or inconsistent unit systems.

Key Features

Real-time reference for artifact control limits and match periods
Python-based coordinate conversion for FTC, Tile, and Pedro systems
Accurate Pedro coordinate references for all field landmarks
2 GitHub stars
Anti-pattern enforcement to ensure clean, maintainable robot code
Automated guidance for autonomous routines and scoring strategies

Use Cases

Converting field positions between meters, tiles, and Pedro coordinates
Developing autonomous navigation paths for the DECODE 2025-2026 field
Implementing scoring logic and robot state machines for artifact classification

About

Key Features

Real-time reference for artifact control limits and match periods
Python-based coordinate conversion for FTC, Tile, and Pedro systems
Accurate Pedro coordinate references for all field landmarks
2 GitHub stars
Anti-pattern enforcement to ensure clean, maintainable robot code
Automated guidance for autonomous routines and scoring strategies

Use Cases

Converting field positions between meters, tiles, and Pedro coordinates
Developing autonomous navigation paths for the DECODE 2025-2026 field
Implementing scoring logic and robot state machines for artifact classification