Ftclib
CheckedFtclib enables seamless integration of Fortran code into Python applications, boosting performance and simplifying complex numerical computations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add ncssm-robotics/ftc-claude --skill ftclib -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
ncssm-robotics
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned ncssm-robotics/ftc-claude at 670e8c6722.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 670e8c6722
- Scanned
- 9 files, 3,755 lines
About this skill
What it does
The ftclib skill provides access to a library of functions and classes designed for First Tech Challenge (FTC) robotics programming. It allows AI agents to interact with FTC robot hardware, including motors, sensors, and controllers, enabling them to perform tasks like autonomous navigation and game object manipulation. This skill streamlines the development process by offering pre-built components for common FTC functionalities.
When to use it
- Autonomous Navigation: Develop routines for your robot to navigate a field autonomously without human intervention.
- Game Object Manipulation: Program actions for picking up, placing, and scoring game objects in an FTC competition.
- Sensor Integration: Utilize sensor data (e.g., distance sensors, color sensors) to make real-time decisions during autonomous or driver-controlled modes.
- Hardware Control: Precisely control motor speeds and directions for accurate robot movements.
Key capabilities
- Motor control functions
- Sensor access and data interpretation
- Controller input handling
- Pre-built FTC game routines (implied)
Example prompts
- "Move the left motor forward for 2 seconds."
- "Read the value from the color sensor."
- "If the distance sensor detects an object within 10cm, stop the robot."
- “Run the autonomous routine to pick up the block.”
Tips & gotchas
- Requires a working FTC development environment and familiarity with FTC programming concepts.
- The specific hardware configuration (motor ports, sensor connections) needs to be accurately defined for proper operation.