ainative-chat-completionsHelp agents build conversational AI with AINative's Chat Completions API. Use when (1) Building a chatbot or AI assistant, (2) Implementing streaming respons...
Install via ClawdBot CLI:
clawdbot install urbantech/ainative-chat-completionsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.ainative.studio/v1/public/chat/completionsCalls external URL not in known-safe list
https://api.ainative.studio/v1/public/chat/completionsAI Analysis
This skill provides legitimate API integration examples for AINative's documented Chat Completions service, with clear authentication patterns and no hidden instructions. The external endpoint usage is explicitly stated and consistent with the skill's purpose of building conversational AI.
Audited Apr 16, 2026 · audit v1.0
Generated May 9, 2026
Deploy a conversational agent that handles customer inquiries using Claude Sonnet, with streaming responses for real-time interaction. Include credit tracking to manage cost per conversation.
Use the chat completions API to generate blog posts, social media copy, or marketing materials. Leverage function calling for structured output like SEO metadata.
Build a chatbot that provides budgeting advice, investment tips, and financial planning. Integrate with credit balance checks to monitor usage costs per session.
Create an interactive tutor using streaming responses for step-by-step explanations. Use the React SDK's useChat hook to build a responsive UI for students.
Implement a triage assistant that collects symptoms and provides preliminary advice. Use error handling to manage rate limits and ensure reliable access.
Charge customers per token consumed, leveraging credit costs built into the API. Users pay for actual usage, making it scalable for varying demand.
Offer different subscription levels based on model access (e.g., Haiku for basic, Opus for premium), daily request limits, and support.
License the AI agent as a white-label solution for enterprises, including custom model fine-tuning, dedicated support, and on-premise options.
💬 Integration Tip
Start with the Python SDK for simple use cases and migrate to React or Next.js patterns for streaming and server-side rendering as needed.
Scored May 9, 2026
智能客服机器人 - 24小时在线客服，自动回复、知识库管理、多渠道支持
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Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
Print a friendly greeting. Use when the user asks to be greeted, needs a simple hello demo, or wants a no-network text output test.
Builds consensus-driven AI personas from multiple perspectives