Openai Chatkit Frontend Embed
CheckedHelps with OpenAI, frontend development as part of building AI and machine learning applications 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 zeeshan080/ai-native-robotics --skill openai-chatkit-frontend-embed -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
zeeshan080
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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
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 zeeshan080/ai-native-robotics at 56e1c93aff.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 56e1c93aff
- Scanned
- 9 files, 1,860 lines
About this skill
What it does
This skill provides a frontend embed for OpenAI's ChatKit, enabling you to integrate chat interfaces directly into your applications. It allows users to interact with an AI agent through a familiar and customizable chat UI. The embedded interface handles message sending, receiving, and display, simplifying the user experience.
When to use it
- Building custom AI agent dashboards: Integrate ChatKit’s chat functionality into a dedicated dashboard for monitoring or managing your AI agents.
- Creating interactive tutorials: Guide users through complex tasks by embedding a chatbot that provides real-time assistance and explanations.
- Developing internal tools: Offer employees an easy way to interact with AI models within existing company applications, like support portals or knowledge bases.
- Prototyping conversational interfaces: Quickly test and iterate on chat UI designs without building everything from scratch.
Key capabilities
- OpenAI ChatKit frontend integration
- Customizable chat interface
- Message sending and receiving
- User-friendly display of messages
Example prompts
- "Embed a ChatKit interface for my customer support AI."
- "Create a chatbot UI to guide users through the onboarding process."
- “Show me how to integrate this skill into my existing web application.”
Tips & gotchas
- Requires an OpenAI API key and a configured ChatKit instance.
- Familiarity with basic frontend development (HTML, CSS, JavaScript) may be helpful for customization.