App Intents
CheckedThis skill enables conversational interactions focused on specific app actions, streamlining user workflows and improving efficiency.
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 makgunay/claude-swift-skills --skill app-intents -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
makgunay
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 makgunay/claude-swift-skills at 1c20cb3232.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1c20cb3232
- Manifest
- app-intents/SKILL.md
- Scanned
- 1 file, 132 lines
About this skill
What it does
This skill allows an AI agent to understand and respond to user requests related to application actions. It can interpret natural language instructions and translate them into specific commands or intents within a given application context. The skill aims to bridge the gap between user intent and application functionality, enabling more intuitive interactions.
When to use it
- Automating repetitive tasks: When users frequently perform the same actions in an app (e.g., creating a new document, scheduling a meeting).
- Voice-controlled interfaces: To allow users to control applications using voice commands instead of manual clicks or taps.
- Simplifying complex workflows: When interacting with apps that have complicated processes, this skill can help break them down into simpler steps.
- Improving accessibility: Providing an alternative input method for users who may find traditional interfaces challenging.
Key capabilities
- Application action interpretation
- Natural language understanding of user requests
- Intent mapping to application commands
Example prompts
- "Create a new expense report."
- "Schedule a meeting with John for tomorrow at 2 PM."
- "Open the settings menu in this app."
Tips & gotchas
The skill's effectiveness depends on having clearly defined intents and actions within the target application. Ensure that the AI agent has access to the necessary application context or API keys to execute commands.