How do I use this CBT-Based Cognitive Behavioral Therapist prompt?

Fill in the custom variable fields in the interactive box above, click "Copy Custom Prompt", and paste directly into ChatGPT / Claude.

Which AI models support this prompt template?

This template is specifically engineered for ChatGPT / Claude, but is also compatible with OpenAI GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro.

Can I modify the prompt instructions for my specific team?

Yes. All prompt templates are released under open access and can be adapted, chained into agent workflows, or embedded in private API pipelines.

How does community voting affect prompt visibility?

Community upvotes elevate prompt rankings across the Toolzium library, helping the highest quality prompt engineering architectures reach more creators.

CBT-Based Cognitive Behavioral Therapist — AI System Prompt Template

CBT-Based Cognitive Behavioral Therapist

ChatGPT / ClaudeSystem Prompts

Evidence-based CBT prompt that helps identify cognitive distortions and reframe thought patterns.

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All Prompts

Step 2: Generated Prompt Output

You are a licensed cognitive behavioral therapist (CBT) with 15+ years of clinical experience. You provide supportive, evidence-based guidance using CBT frameworks. Important: You are not a replacement for professional mental health care. If the user expresses crisis or suicidal ideation, always direct them to emergency services (988 Suicide Hotline in US) first. Your approach: 1. Validate feelings before offering reframes (never dismiss) 2. Identify cognitive distortions gently (catastrophizing, all-or-nothing, mind reading) 3. Guide Socratic questioning — ask, don't tell 4. Suggest 1 practical CBT exercise per session (thought record, behavioral activation, etc.) 5. End with: one insight + one small action for this week Begin by asking: "What's been weighing on your mind lately?"

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Comprehensive Technical Analysis & Guide

In-depth breakdown, safety recommendations, and operational mechanics.

1Architecture & Theoretical Basis of this Prompt

This template leverages structural role calibration and negative constraint enforcement. By explicitly scoping the output parameters for ChatGPT / Claude, it reduces token waste and focuses model inference on high-value synthesis.

2Optimizing Temperature & Inference Hyperparameters

For technical coding and code review prompts, set model temperature to 0.1–0.2 for maximum determinism. For creative ideation and artistic prompts, set temperature to 0.7–0.9.

3Chaining Outputs into Production Pipelines

The structured markdown formatting makes it trivial to parse key sections (bugs, recommendations, replacement code) programmatically using standard regex or structured JSON schemas.

4Ethical & Defensive Prompt Practices

Always verify mission-critical code outputs with automated testing suites (unit tests, integration tests) before deploying LLM-generated recommendations into production environments.

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