Ai Chat
Engage in natural language conversations with Andrelandgraf's ai-chat agent to explore ideas and receive helpful responses.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add ai-chat npx -- -y @trustedskills/ai-chat
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"ai-chat": {
"command": "npx",
"args": [
"-y",
"@trustedskills/ai-chat"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to interact via chat interfaces, facilitating direct communication and task execution through conversational prompts. It serves as a foundational interface layer for full-stack recipe applications, allowing users to query capabilities without complex API setups.
When to use it
- To initiate quick interactions with an agent for simple queries or commands.
- When integrating conversational interfaces into web-based full-stack recipes.
- For prototyping user flows where natural language input is preferred over form fields.
- To test agent responsiveness before deploying more complex interaction patterns.
Key capabilities
- Chat interface integration for AI agents.
- Support for full-stack recipe applications.
- Direct conversational input handling.
Example prompts
- "Can you explain how to deploy a new feature using the chat interface?"
- "What are the steps to configure this agent for a specific workflow?"
- "Help me troubleshoot an error in my full-stack recipe via chat."
Tips & gotchas
Ensure your application is properly configured to handle incoming chat events before relying on real-time responses. This skill is best suited for lightweight interactions; complex data processing may require additional backend logic beyond the chat layer itself.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.