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| title: PromptWork | |
| emoji: "🔬" | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| # PromptWork: Trauma-Informed Prompt Assessment Hub | |
| A professional tool for assessing and refining chatbot system prompts through a clinical UX lens. | |
| ## Features | |
| - **Prompt Editor**: Enter and refine system prompts with pre-loaded templates | |
| - **Conversation Simulator**: Test prompts with realistic multi-turn conversations using Claude API | |
| - **Assessment Panel**: Evaluate prompts across safety, trauma-informed design, cultural humility, and technical effectiveness | |
| - **Spotlight System**: Mark and annotate important moments in conversations | |
| - **Reference Library**: Quick access to clinical UX patterns and best practices | |
| - **Export**: Generate assessment reports in Markdown, PDF, or JSON | |
| ## Usage | |
| 1. Enter your Anthropic API key (stored only in your browser session, never logged) | |
| 2. Load or create a system prompt | |
| 3. Generate test conversations with various personas | |
| 4. Assess responses using the clinical framework | |
| 5. Spotlight important moments and add notes | |
| 6. Export your assessment report | |
| ## Framework | |
| This tool implements a trauma-informed clinical UX assessment framework including: | |
| - **Safety Rails**: Crisis detection, escalation protocols, hard limits | |
| - **Youth Appropriateness**: Reading level, tone calibration, parasocial risk | |
| - **Trauma-Informed Design**: Agency, containment, validation practices | |
| - **Cultural Humility**: Assumptions, economic sensitivity, institutional awareness | |
| - **Technical Effectiveness**: Clarity, consistency, appropriate scope | |
| ## Author | |
| Jocelyn Skillman, LMHC - Clinical AI Ethics Consultant | |
| ## License | |
| MIT | |