Swift Composable Architecture
ListedBuild scalable, testable UI components using a Swift Composable Architecture approach, streamlining frontend development 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-composable-architecture -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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: numbersapi.com.
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.
Hosts contacted
numbersapi.comundeclaredWhat it found
- swift-composable-architecture/Articles/GettingStarted.md:126contacts numbersapi.com
from: URL(string: "http://numbersapi.com/\(count)/trivia")! - swift-composable-architecture/Articles/GettingStarted.md:327contacts numbersapi.com
from: URL(string: "http://numbersapi.com/\(number)")! - swift-composable-architecture/Articles/GettingStarted.md:387contacts numbersapi.com
.data(from: URL(string: "http://numbersapi.com/\(number)")!
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 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
- 60 files, 8,111 lines
About this skill
What it does
This skill provides expertise in the Swift Composable Architecture (TCA) framework. It enables AI agents to understand, apply, and explain TCA principles for building robust and testable applications. The agent can assist with code generation, debugging, and architectural design decisions using TCA.
When to use it
- Architectural Guidance: Seeking advice on structuring a Swift application using TCA.
- Code Generation: Need assistance generating boilerplate or specific components within a TCA project.
- Debugging TCA Code: Experiencing issues with existing TCA code and require troubleshooting support.
- Learning TCA: Wanting to understand the core concepts and best practices of Composable Architecture.
Key capabilities
- Understanding of TCA principles (Reducers, Actions, Environments, State)
- Code generation using TCA patterns
- Debugging assistance for TCA-based applications
- Explanation of TCA architectural choices
Example prompts
- "Can you generate a Reducer for managing user authentication in my Swift app using TCA?"
- "I'm getting an error when applying a state update. Can you help me debug this TCA code snippet?"
- "Explain the benefits of using TCA over traditional MVC architecture."
Tips & gotchas
- Familiarity with basic Swift programming is recommended to effectively utilize this skill.
- TCA can have a steeper learning curve; be prepared for detailed explanations and potentially complex concepts.