Method for Transferring User Context from ChatGPT to Claude

A Reddit user on r/ClaudeAI shared their method for transferring from ChatGPT to Claude, noting that OpenAI made it "kind of difficult to port over." They used three prompts across separate ChatGPT chats to gather relevant data, then copied responses into Claude to train it.
The Transfer Method
The user's approach involves two main prompts designed to extract comprehensive user context from ChatGPT for transfer to Claude.
Prompt 1: Cognitive Architecture Analysis
The first prompt instructs ChatGPT to construct "the deepest possible cognitive and psychological model" based on communication patterns, with specific instructions:
- Do NOT ask questions
- Infer patterns and synthesize observations
- Model how the user thinks
- Extract implicit beliefs and motivations
- Treat it as cognitive architecture analysis
- Focus on signal from behavioral patterns
- Label observations with confidence levels when uncertainty exists
The analysis is structured across ten parts:
- PART 1 — Cognitive Architecture: How the user structures problems, reasons through complexity, favors systems thinking vs reductionism vs first principles, pattern recognition tendencies, abstraction level, tolerance for ambiguity, speed vs depth tradeoff, and idea generation
- PART 2 — Strategic Intelligence Profile: Approach to leverage and optimization, tactical vs strategic thinking, long-term vs short-term orientation, opportunity detection, and handling uncertainty
- PART 3 — Personality & Behavioral Traits: Personality characteristics, curiosity patterns, emotional drivers, intrinsic motivations, implicit fears or aversions, risk tolerance, and independence vs consensus orientation
- PART 4 — Cognitive Strengths: Areas of unusual strength in reasoning, creativity, synthesis, pattern recognition, strategic thinking, and learning speed
- PART 5 — Likely Blind Spots: Cognitive biases, thinking traps, over-optimization tendencies, and constraining assumptions
- PART 6 — Intellectual Identity: Type of thinker resemblance (systems architect, strategic operator, explorer, builder, optimizer, philosopher, scientist, inventor)
- PART 7 — Curiosity Map: Major domains of repeated attention (technology, psychology, economics, strategy, philosophy, systems design, human behavior, leverage) ranked by intensity
- PART 8 — Decision Model: How the user weighs tradeoffs, evaluates risk, prioritizes, and uses intuition vs analysis
- PART 9 — Behavioral Pattern Analysis: Recurring patterns in question asking, idea refinement, assumption challenging, and leverage searching
- PART 10 — High-Level Psychological Model: Concise synthesis of intellectual identity, world approach, and curiosity/ambition drivers
The prompt requires two output artifacts: 1) Complete Cognitive Profile (detailed report), and 2) Portable User Model (structured summary for another AI system to understand interaction).
Prompt 2: Personal AI Constitution
The second prompt generates a "PERSONAL AI CONSTITUTION" document defining how AI systems should interact with the user to maximize usefulness, intellectual depth, and strategic insight. This creates "a portable set of operating principles that any AI can follow."
The constitution includes three sections (with the third section cut off in the source text):
- SECTION 1 — User Identity Summary: Concise description of intellectual identity, thinker type, and curiosity/problem-solving motivation
- SECTION 2 — Communication Preferences: How AI should communicate including preferred explanation depth, complexity tolerance, tone (analytical, concise, exploratory), when to challenge thinking, and when to provide frameworks vs direct answers
- SECTION 3 — Thinking Al (incomplete in source)
Practical Application
This method addresses the practical challenge of transferring user context between different AI systems when switching providers. The prompts systematically extract behavioral patterns and preferences that can be used to customize Claude's interactions, potentially reducing the adaptation period when switching from ChatGPT.
📖 Read the full source: r/ClaudeAI
👀 See Also

Solving Gemini CLI write_file Not Found in OpenClaw: Two Fixes Required
OpenClaw agents using google-gemini-cli can't write files (write_file / default_api_write_file missing) due to wrong tools.profile and missing --approval-mode auto_edit flag in the subprocess. Fix: set profile to full and inject the flag via cliBackends config.

Evaluating Agent Skill Safety: Key Considerations Before Installation
Installing new agent skills can enhance functionality but also comes with risks. Learn how to evaluate the safety of these skills to protect your system.

Debugging OpenClaw + Ollama Local Model Timeouts: Five Fixes for Silent Failures
A developer identified five root causes for OpenClaw agents silently timing out with local Ollama models like Gemma 4 26B, including a blocking slug generator, a 38K character system prompt, and hidden timeouts. The fixes involve disabling hooks, modifying configs, and adjusting Ollama settings.

Running OpenClaw, ClawdBot, and MoltBot on a Budget
Discover how to run OpenClaw, ClawdBot, and MoltBot without breaking the bank. Explore budgeting tips and free alternatives as discussed by enthusiasts on r/clawdbot.