queelius

Ctk — AI skill for Claude Code

AI community

Conversation Toolkit - Unified CLI for managing AI conversations from ChatGPT, Claude, Gemini, and more.

How to install Ctk

This entry records only its repository, not the path inside it, so there is no exact command to give. Open queelius/ctk and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Ctk does

Conversation Toolkit - Unified CLI for managing AI conversations from ChatGPT, Claude, Gemini, and more. Import, search, export, and chat with your conversation history.

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README

Conversation Toolkit (CTK)

A plugin-based system for managing AI conversations from multiple providers. Import, store, search, branch, and export your conversations in a unified tree format while preserving provider-specific details.

Quick Start

# Setup (one-time)
make install

# Import conversations from any supported provider
ctk import chatgpt_export.json --db my_chats
ctk import claude_export.json   --db my_chats --format anthropic

# Open the TUI on the database (primary interface)
ctk --db my_chats

# Bulk-export for fine-tuning, archiving, or sharing
ctk export training.jsonl --db my_chats --format jsonl

`ctk` with no subcommand opens the full-screen Textual TUI on the database in `~/.ctk/config.json`'s `database.default_path` (or the path passed via `--db`). Everything an interactive user does (chat, search, branch trees, organize, edit) lives in the TUI. The CLI subcommands are kept small and scriptable: import, export, query, sql, and a handful of admin operations.

Key Features

Universal Tree Format: every conversation is a tree. Linear chats are single-path trees, branching conversations (e.g., ChatGPT regenerations) preserve all paths.
Tree Primitive Algebra: six primitives (delete, delete_subtree, prune_to, copy, copy_subtree, graft) compose into every higher-level operation: fork, branch, clone, snapshot, detach, promote.
Plugin Architecture: importers and exporters auto-discover via Python imports. Adding a new format is one file.
Multiple LLM Backends: named provider profiles for OpenAI, Azure, OpenRouter, vLLM, llama.cpp, LM Studio, Ollama, or any other OpenAI-compatible endpoint. Switch live via /provider in the TUI.
Inline Images: terminal image rendering via textual-image (Sixel, Kitty TGP, or Halfcell), automatic protocol detection.
Tool Calling / MCP: tools group under named virtual MCP providers (ctk.builtin, ctk.network). The LLM can search, list, find similar conversations