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tylerburleigh
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chat

Maintain threaded conversations with file-context grounding across multiple turns.

Updated Aug 27, 2026
Search Tags:#dialogue#AI assistant#conversational AI#chat#Q&A#iterative discussion#contextual AI
One-click install
npx skills add https://github.com/tylerburleigh/claude-model-chorus --skill chat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chat
Source: https://github.com/tylerburleigh/claude-model-chorus/tree/main/skills/chat
Command: npx skills add https://github.com/tylerburleigh/claude-model-chorus --skill chat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic-cli, google-generativeai, openai-cli.

What problem does it solve?

This Skill provides seamless, context-aware conversations with a single AI model. It eliminates the frustration of repeating yourself by remembering your full conversation history, making iterative discussions and follow-up questions effortless.

Core Features & Use Cases

  • Conversation Threading: Maintain full context across multiple turns, just like a natural dialogue.
  • File Integration: Ground discussions in specific documents by including them as context.
  • Flexible AI Choice: Chat with Claude, Gemini, Codex, or Cursor Agent based on your needs.
  • Use Case: Review a Python function. Ask for initial feedback, then follow up with "How would you refactor the login method?" and "Show me an example," all within the same continuous conversation.

Quick Start

Review the attached file 'src/auth.py' for potential issues, then ask 'How would you refactor the login method?' in a follow-up.

Frequently Asked Questions about chat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain conversation history across multiple AI model interactions?▼

Conversational AI with threading preserves your full dialogue history across turns, eliminating repetition. This Skill enables single-model orchestration with structured request/response patterns and configurable system prompts, so follow-up questions stay grounded in prior context without restarting.

Can I include file context in iterative discussions with an AI model?▼

Yes. File integration lets you ground discussions in specific documents—review a Python function, then ask follow-up refinement questions all within one continuous conversation, with the file available as context throughout.

What AI models does this conversational interface support?▼

The Skill works with Claude, Gemini, Codex, and Cursor Agent. You choose which model to chat with based on your needs, and the interface maintains threading and file context across all supported options.

How is this different from repeating context in separate AI queries?▼

Threading eliminates manual context repetition. Instead of pasting the same file or restating your problem in each new query, preserved conversational history lets iterative refinement and brainstorming flow naturally across multiple turns with a single model.

What setup do I need before starting a conversation?▼

You need the anthropic-cli, google-generativeai, or openai-cli dependency installed based on your chosen model. The Skill handles structured threading and file ingestion, so you can begin conversations and ground them in documents immediately.

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