ncssm-robotics
Official@ncssm-robotics
Provides specialized engineering frameworks and safety validation protocols for FTC robotics development, telemetry integration, and autonomous pathing trajectory design.
Agent Skills by ncssm-robotics
Showing 16 vetted skills indexed across 1 GitHub repositories.
pinpoint
Configures GoBilda Pinpoint odometry with pod offsets, encoder tuning, and IMU calibration.
ftc-dashboard
Stream FTC robot telemetry and field overlays to a web dashboard.
ftclib
Provide a command-based framework for FTC robot code development.
panels
Provide live telemetry dashboards and real-time configurables for FTC robots.
pedro-pathing
Design Bezier-based paths for FTC robotics with Pedro Pathing.
limelight
Integrate Limelight 3A vision for AprilTag localization and robot pose.
nextftc
Create FTC OpModes with the NextFTC command-based framework in Kotlin.
robot-dev
Connect, build, deploy, and debug FTC robot code from the command line.
decode
Convert FTC field coordinates across Pedro, standard, and tile systems.
roadrunner
Design and execute autonomous trajectories for FTC robots using Pose2d and Vector2d types.
my-skill
Create self-contained Claude skills with SKILL.md frontmatter and optional resource directories.
skill-builder
Generate standardized SKILL.md frontmatter, plugin.json, and marketplace entries for FTC skills.
code-review
Validate FTC marketplace skill metadata and directory structure during reviews.
youth-safety-review
Flag inappropriate or unsafe content in FTC student code before publishing.
versioning
Enforce automated version updates across plugin.json, SKILL.md, and marketplace.json.
security-review
Detect credential leaks, unsafe file operations, and code-injection risks in FTC robot code.
Frequently Asked Questions About ncssm-robotics
FAQPage SchemaWhat specific robotics tasks are enabled by these skills?▼
These skills enable precise robot movement through Bezier-based pathing, AprilTag-based vision localization, and odometry calibration. They provide frameworks for command-based robot development, real-time telemetry streaming to web dashboards, and coordinate system conversion between standard, tile, and pathing-specific formats.
Who is the target persona for these robotics engineering skills?▼
The target audience includes FTC robotics students, mentors, and software engineers focused on competitive robotics. These skills are designed for teams requiring standardized development frameworks, secure code review processes, and robust autonomous navigation capabilities for field-based robot operations.
What are the prerequisites for implementing these robotics frameworks?▼
Implementation requires a functional FTC robot platform, a compatible Kotlin or Java development environment, and the specific hardware components mentioned, such as Limelight 3A vision sensors or GoBilda Pinpoint odometry modules. Users must also adhere to the provided directory structure and metadata standards for marketplace compatibility.