Swift State Machine Patterns
CheckedHelps with Swift, patterns as part of building frontend UIs and user experiences workflows.
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 nonameplum/agent-skills --skill swift-state-machine-patterns -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
nonameplum
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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
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No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
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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
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned nonameplum/agent-skills at 26f9ebd26d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 26f9ebd26d
- Scanned
- 1 file, 276 lines
About this skill
What it does
This skill allows AI agents to implement and manage state machines using Swift patterns. It facilitates the creation of complex, reactive systems where behavior changes based on current state. The agent can define states, transitions between them, and associated actions for each transition.
When to use it
- Game development: Implement character AI with distinct behaviors in different game states (e.g., idle, attacking, fleeing).
- UI design: Manage complex UI flows and interactions based on user input or application state.
- Workflow automation: Define a sequence of steps for an automated process, transitioning between stages as conditions are met.
- Robotics: Control robot behavior based on sensor readings and predefined states (e.g., navigating, searching, docking).
Key capabilities
- State definition
- Transition management
- Action execution upon state transitions
- Swift pattern implementation
Example prompts
- "Create a state machine for a vending machine with states: idle, accepting money, dispensing product, giving change."
- "Define a workflow to handle user registration, including states for email verification and password reset."
- "Implement a robot navigation system with states for searching, avoiding obstacles, and reaching the destination."
Tips & gotchas
- Requires familiarity with Swift programming concepts.
- Complex state machines can become difficult to manage; consider modular design.