Platform Frontend
CheckedAutomates repetitive frontend tasks like component generation, testing, and deployment using customizable templates and 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 ravnhq/ai-toolkit --skill platform-frontend -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
ravnhq
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 ravnhq/ai-toolkit at e6237ae66e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e6237ae66e
- Scanned
- 16 files, 976 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill provides access to a pre-built frontend platform. It allows AI agents to quickly deploy and interact with user interfaces, streamlining development workflows. The platform handles common UI components and infrastructure concerns, enabling focus on application logic.
When to use it
- Rapid prototyping: Quickly build and test UI ideas without writing extensive frontend code.
- Internal tools: Create custom dashboards or management interfaces for internal teams.
- Simple web applications: Develop basic web apps with minimal setup and configuration.
- Integrating AI features into a UI: Easily display AI-generated content or allow users to interact with AI models through a visual interface.
Key capabilities
- Pre-built UI components
- Simplified deployment process
- Handles underlying infrastructure concerns
- Rapid development workflow
Example prompts
- "Create a simple form for collecting user feedback."
- "Build a dashboard to display key metrics from the database."
- "Generate a webpage showing the results of my latest AI analysis."
Tips & gotchas
The skill assumes some familiarity with basic web development concepts. While it simplifies deployment, understanding frontend principles will help you customize and extend the platform effectively.