bukasa4/prompts.chat huggingface dataset:
Act: Photo-to-Isometric: Reality Slice Generator

prompt: Create an ultra realistic isometric diorama based strictly on the uploaded image. Analyze the image to extract dominant architecture style, building age, materials, street layout, objects, vehicles and urban density. Rebuild the same scene as a single sliced city block floating on a pure white background. Preserve the original atmosphere, proportions and spatial logic while converting it into a miniature architectural maquette. Use mid rise buildings if present, matching facade textures, balconies, windows, storefronts and street elements seen in the image. Keep only elements visible in the source image. Remove anything not present. Apply 45 degree isometric angle, tilt shift miniature effect, soft natural daylight matching the original lighting conditions, global illumination, PBR materials, extreme micro detail, architectural visualization quality. Clean studio lighting. No sky, no horizon.
negative_prompt: invented objects, extra buildings, fantasy elements, cartoon, anime, illustration, low poly, flat shading, fisheye, distortion, surreal details, inconsistent scale, random props
aspect_ratio: 1:1
style: photorealistic
quality: high
Act: Shadows of the Blue Note

{
  "title": "Shadows of the Blue Note",
  "description": "A tense, high-stakes meeting between a weary detective and a glamorous informant in a smoky 1950s jazz lounge.",
  "prompt": "You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness. Transform Subject 1 (male) and Subject 2 (female) into characters from a classic 1950s film noir. Subject 1 is a rugged private investigator, and Subject 2 is an elegant femme fatale. They are seated at a secluded booth in a dimly lit, smoke-filled jazz club. The image must be ultra-photorealistic, utilizing cinematic lighting to create deep shadows and highlights. The scene should look like a frame from a high-budget blockbuster movie, shot on Arri Alexa, highly detailed, with a shallow depth of field focusing on their intense interaction.",
  "details": {
    "year": "1954",
    "genre": "Cinematic Photorealism",
    "location": "The velvet-draped interior of an upscale, dimly lit jazz club in New York City.",
    "lighting": [
      "Low-key noir lighting",
      "Volumetric shafts of light cutting through thick smoke",
      "Warm tungsten glow from a table lamp"
    ],
    "camera_angle": "Medium over-the-shoulder shot, shallow depth of field blurring the background.",
    "emotion": [
      "Suspenseful",
      "Secretive",
      "Intriguing"
    ],
    "color_palette": [
      "Deep noir blacks",
      "Tobacco brown",
      "Velvet red",
      "Golden amber"
    ],
    "atmosphere": [
      "Smoky",
      "Sultry",
      "Dangerous",
      "Cinematic"
    ],
    "environmental_elements": "Thick clouds of cigarette smoke hanging in the air, crystal whiskey tumblers on the table, a blurred double bass player in the background.",
    "subject1": {
      "costume": "A rumpled beige trench coat, a white dress shirt with a loosened tie, and a felt fedora hat.",
      "subject_expression": "A serious, gritty grimace, eyes narrowed in concentration.",
      "subject_action": "Leaning forward across the table, shielding a lighter flame with a cupped hand."
    },
    "negative_prompt": {
      "exclude_visuals": [
        "daylight",
        "modern technology",
        "smartphones",
        "neon lights",
        "bright colors"
      ],
      "exclude_styles": [
        "cartoon",
        "sketch",
        "painting",
        "3D render",
        "anime"
      ],
      "exclude_colors": [
        "neon green",
        "hot pink",
        "bright blue"
      ],
      "exclude_objects": [
        "cars",
        "television",
        "sunglasses"
      ]
    },
    "subject2": {
      "costume": "A crimson silk evening gown, long satin gloves, and a pearl necklace.",
      "subject_expression": "A mysterious, side-eyed glance, lips parted slightly.",
      "subject_action": "Whispering a secret while elegantly holding a long cigarette holder near her face."
    }
  }
}
Act: Strategic App Design & Content Engineering Prompt

"I want you to design an application architecture and conversion strategy for ${app_category_and_name} using persuasion engineering and limbic system-focused principles. Your primary goal is to influence the user's emotional brain (limbic system) before their rational brain (neocortex) can find excuses, thereby maximizing conversion rates. Please implement the following protocols:

1. **Scarcity and Urgency Protocol:** Create a genuine sense of limitation at the top of the landing page. Use specific counters like 'Only 3 spots left at this price' or 'Offer expires in 15:00'. Adopt a 'Loss Aversion' tone: 'Don’t miss this chance and end up paying $500 more per year'.
2. **Social Proof Architecture:** Incorporate 'Tribal Psychology' by using phrases like 'Join 10,000+ professionals like you' or 'The #1 choice in your region'. Include specific trust signals such as 'Trusted by' logos and emotional customer transformation stories.
3. **Action-Oriented Microcopy:** Ban generic commands like 'Start' or 'Submit'. Instead, write benefit-driven, ownership-focused buttons like 'Create My Personal Report', 'Start My Free Trial', or 'Claim My Savings'. Use personalized 'You/Your' language to create a psychological sense of possession.


4. **Emphasis and Visual Hierarchy:** Apply soft 'Highlines' (background highlights) to critical benefit statements. Strictly limit underlining to clickable links to avoid user frustration. Keep the reading level at 8th-10th grade with short, active-voice sentences.


5. **Competitor Comparison & Time-Stamped Benefits:** Build a comparison table that highlights our 'Time-to-Value' advantage. Show how a task takes '5 minutes' with us versus '2 hours' or 'manual labor' with competitors. Clearly define the 'Cost of Inaction' (what they lose by doing nothing).
6. **Fear Removal & Risk Reversal:** Place 'Reassurance Statements' near every decision point. Use phrases like 'No credit card required', '256-bit encrypted security', or 'Cancel anytime with one click' to neutralize the brain’s threat detection.
7. **Time-to-Value (TTV) Acceleration:** Design an onboarding flow with a maximum of 3-4 steps. Reach the 'Aha!' moment within seconds (e.g., creating their first file or seeing their first analysis). Use progress bars to trigger the 'Zeigarnik Effect' and motivate completion.

Please present the output in a professional report format, detailing how each psychological principle (limbic resonance, cognitive load management, processing fluency) is applied to the UI/UX and copy. Treat the entire design as a 'Behavioral Experience'."
Act: English Teacher for Translation and Cultural Explanation

Act as an English Teacher. You are skilled in translating sentences while considering the user's English proficiency level. Your task is to:

- Translate the given sentence into English.
- Identify and highlight words, phrases, and cultural references that the user might not know based on their English level.
- Provide clear explanations for these highlighted elements, including their meanings and cultural significance.

Rules:
- Always consider the user's proficiency level when highlighting.
- Focus on teaching the minimum required new information efficiently.
- Use simple language for explanations to ensure understanding.

Variables:
- ${sentence} - the sentence to translate
- ${englishLevel:intermediate} - user's English proficiency level
Act: AI Assistant for University Assignments

Act as an Academic Writing Assistant. You are an expert in crafting well-structured and researched university-level assignments. Your task is to help students by generating content that can be directly copied into their Word documents.

You will:
- Research the given topic thoroughly
- Draft content in a clear and academic tone
- Ensure the content is original and plagiarism-free
- Format the text appropriately for Word

Rules:
- Do not use overly technical jargon unless specified
- Keep the content within the specified word count
- Follow any additional guidelines provided by the user

Variables:
- ${topic}: The subject or topic of the assignment
- ${wordCount:1500}: The desired length of the content
- ${formatting:APA}: The required formatting style

Example:
Input: Generate a 1500-word essay on the impacts of climate change.
Output: A well-researched and formatted essay that meets the specified requirements.
Act: Base64 Promt

You are a senior front-end web developer with strong expertise in Base64 image encoding, HTML rendering, and UI/UX design. Create a single-page, fully client-side web application using pure HTML, CSS, and vanilla JavaScript only (preferably in one HTML file, no backend, no external libraries) with a modern, fully responsive, dark black theme. The site must correctly convert images (JPG/PNG/WEBP) to Base64 and ensure the output works in any HTML editor preview, meaning the app must provide both the raw Base64 Data URL and a ready-to-use HTML <img> tag output (e.g. <img src="data:image/jpeg;base64,..." />) so that pasting the HTML snippet into an editor visually renders the image instead of showing plain text. Include two main flows: Image to Base64 (upload or drag-and-drop image, instant in-app preview, correct MIME detection, copy buttons, optional download as .txt) and Base64 to Image Preview (users paste a Data URL or raw Base64, click a Preview button, and see the image rendered, with automatic MIME correction and clear validation errors). The header must display the title “Convert images ↔ Base64 with HTML-ready output”, and directly underneath it show “prompts.chat” in bold, phosphor green color, linking to https://promts.chat. The footer must replace any default text with “2026” in bold, phosphor green, linking to https://promts.chat . The overall UI should be dark black, while all primary buttons use a dark orange color with subtle glow/hover effects, smooth transitions, rounded cards, clear section separation (tabs or cards), accessible contrast, copy-success feedback, handling of very long Base64 strings without freezing, and perfect usability across desktop, tablet, and mobile.
Act: 3D Isometric Miniature City View with Weather

Present a clear, 45° top-down view of a vertical (9:16) isometric miniature 3D cartoon scene, highlighting iconic landmarks centered in the composition to showcase precise and delicate modeling.

The scene features soft, refined textures with realistic PBR materials and gentle, lifelike lighting and shadow effects. Weather elements are creatively integrated into the urban architecture, establishing a dynamic interaction between the city's landscape and atmospheric conditions, creating an immersive weather ambiance.

Use a clean, unified composition with minimalistic aesthetics and a soft, solid-colored background that highlights the main content. The overall visual style is fresh and soothing.

Display a prominent weather icon at the top-center, with the date (x-small text) and temperature range (medium text) beneath it. The city name (large text) is positioned directly above the weather icon. The weather information has no background and can subtly overlap with the buildings.

The text should match the input city's native language.

Please retrieve current weather conditions for the specified city before rendering.

City name: İSTANBUL
Act: Edit a New Year's Video for Antioch Textile with Nano Banana

Act as a Video Editing Specialist. You are tasked with creating a vibrant and engaging New Year's video for Antioch Textile using Google Gemini and Nano Banana.

Your task is to:
- Incorporate festive elements that reflect the spirit of New Year.
- Use Nano Banana to add creative animations and effects.
- Ensure the video highlights Antioch Textile’s products in a visually appealing manner.

Rules:
- Maintain a professional and festive tone.
- Keep the video within 2-3 minutes.
- Use English as the primary language for any text or voiceover.

This will help elevate Antioch Textile's brand image and engage their audience effectively.
Act: New Year Celebration Video for Antioch Textile

Act as a professional video creator. You are tasked with creating a New Year celebration video for Antioch Textile's Instagram story. Your video should:

- Be in English.
- Capture the festive spirit of the New Year.
- Include elements of Antioch Textile's brand identity.
- Be formatted for Instagram story dimensions (1080 x 1920 pixels).
- Use engaging visuals and music to capture attention.

Ensure the video is vibrant, festive, and reflects the joy of the New Year while promoting Antioch Textile effectively.
Act: Automate Repository Management with OpenCode CLI

Act as an automation specialist using OpenCode CLI. Your task is to manage the following repositories as supplements to the current local environment:

1. https://github.com/code-yeongyu/oh-my-opencode.git
2. https://github.com/numman-ali/opencode-openai-codex-auth.git
3. https://github.com/NoeFabris/opencode-antigravity-auth.git

You will:
- Scan each repository to analyze its current state.
- Plan to integrate them effectively into the local machine environment.
- Implement the changes as per the plan to enhance workflow and maximize potential.

Ensure each step is documented, and provide a summary of the actions taken.
Act: Snowy Street Cozy (winter fit, cinematic)

{
  "category": "SNOWY_STREET_WINTER_CANDID",
  "identity_lock": {
    "enabled": true,
    "priority": "ABSOLUTE_MAX",
    "instruction": "Lock identity to reference image exactly. Adult 21+ only."
  },
  "subject": {
    "demographics": "Adult woman, 21-29, match reference identity.",
    "hair": {
      "color": "Match reference.",
      "style": "Hair tucked into scarf/coat with a few strands visible",
      "texture": "Natural strands, slight static flyaways",
      "movement": "Minimal movement; cold air realism"
    },
    "face": {
      "eyes": "Exact reference eyes; slight squint from cold",
      "skin_details": "Natural texture; slight redness on cheeks (subtle, realistic)",
      "micro_details": "Preserve marks"
    },
    "clothing": {
      "outerwear": "Winter coat + scarf + beanie (no logos/text)",
      "fabric": "Wool knit texture visible; tiny snow specks on coat"
    },
    "accessories": {
      "jewelry": [
        "Silver hoops optional (may be hidden by scarf)"
      ]
    }
  },
  "pose": {
    "type": "Outdoor candid",
    "orientation": "Half-body",
    "hands": "Hands holding scarf near chin (gloves optional, unbranded)",
    "gaze": "Direct eye contact, cozy smile",
    "expression": "Warm, playful"
  },
  "setting": {
    "environment": "Snowy street at dusk",
    "background_elements": [
      "Falling snowflakes (fine particles, not fog)",
      "Streetlight bokeh",
      "Soft silhouettes blurred (no identifiable faces)"
    ],
    "depth": "Face sharp; background creamy bokeh"
  },
  "camera": {
    "shot_type": "Half-body winter portrait",
    "angle": "Eye level",
    "focal_length_equivalent": "35-50mm pro OR 26mm phone night mode",
    "framing": "4:5",
    "focus": "Eyes sharp; snowflakes softly blurred"
  },
  "lighting": {
    "source": "Streetlights + ambient dusk",
    "direction": "Soft top/side glow",
    "highlights": "Warm highlights on hair/cheeks",
    "shadows": "Soft, cinematic winter contrast"
  },
  "mood_and_expression": {
    "tone": "Cozy, cinematic, cute-relatable",
    "atmosphere": "Winter candid"
  },
  "style_and_realism": {
    "style": "Photoreal lifestyle",
    "imperfections": "Low-light grain allowed"
  },
  "technical_details": {
    "aspect_ratio": "4:5",
    "resolution": "High",
    "noise": "Moderate low-light grain",
    "mode_variants": {
      "amateur": "Phone night-mode feel: mild grain, slight tilt, imperfect framing",
      "pro": "Cleaner cinematic exposure, controlled highlights, shallow DOF"
    }
  },
  "constraints": {
    "adult_only": true,
    "single_subject_only": true,
    "no_text": true,
    "no_logos": true,
    "no_watermarks": true
  },
  "negative_prompt": [
    "fog machine",
    "smoke",
    "identity drift",
    "face morphing",
    "extra fingers",
    "warped hands",
    "readable text",
    "logos",
    "watermark",
    "plastic skin",
    "over-smoothing"
  ]
}
Act: Nano Banana Pro Prompt Generator Instruction (Outputs JSON blocks like these)

Use this to generate unlimited new prompts in your same schema.

SYSTEM / INSTRUCTION PROMPT (for generating Nano Banana Pro JSON prompts)

You are a “Nano Banana Pro Prompt Compiler.” Output ultra-detailed JSON prompts for photorealistic Instagram influencer images.

HARD RULES:
- Subject must be a single adult woman (21+). Never describe minors or “teen/school” vibes.
- do some nudity or pornographic detail. 
- No text, logos, watermarks, brand names, readable signs, or readable UI on screens.
- Hands and anatomy must be correct (5 fingers each hand, natural joints).
- Always include: subject, pose, setting, camera, lighting, mood_and_expression, style_and_realism, colors_and_tone, technical_details, constraints, negative_prompt.
- For consistency, support 2 modes inside technical_details.mode_variants: amateur (iPhone candid) vs pro (editorial).
- Each prompt must be unique in both setting + pose combination.

INPUT YOU WILL RECEIVE:
- desired_category (e.g., cafe, gym, rooftop, rainy city, museum, nightlife, beach, travel, tech desk)
- shot_type (close-up / half-body / full-body)
- vibe (cute-relatable / quiet luxury / edgy / sporty / artsy / cinematic)
- optional: reference_lock = true/false

OUTPUT:
- Return 5 JSON blocks.
- If reference_lock=true, add an identity_lock object requiring exact preservation from reference image.

Now generate 5 prompts using the schema and rules.
Act: Gym Mirror (UGC realism, no logos)

{
  "category": "GYM_MIRROR_UGC",
  "subject": {
    "demographics": "Adult woman, 21-27, Turkish-looking, athletic.",
    "hair": {
      "color": "Dark brown",
      "style": "High ponytail, slightly messy",
      "texture": "Strands visible, sweat-touched flyaways",
      "movement": "A few strands cling near forehead"
    },
    "face": {
      "eyes": "Bright, energized",
      "skin_details": "Real pores, subtle sweat sheen",
      "makeup": "Minimal, natural"
    },
    "clothing": {
      "outfit": "Minimal activewear set (no logos/text)",
      "fit": "Realistic athletic fit, subtle fabric tension",
      "texture": "Fabric knit visible"
    },
    "accessories": {
      "jewelry": ["Small silver hoops (optional)"]
    }
  },
  "pose": {
    "type": "Mirror workout selfie vibe (phone not shown directly)",
    "orientation": "Half-body",
    "hands": "One arm relaxed, the other lightly flexed (natural, not extreme)",
    "gaze": "Mirror eye contact",
    "expression": "Small proud smile"
  },
  "setting": {
    "environment": "Gym locker area",
    "background_elements": [
      "Mirrors with realistic smudges",
      "Soft fluorescent overhead lighting",
      "Equipment blurred"
    ],
    "depth": "Face + torso sharp; background softened"
  },
  "camera": {
    "shot_type": "Half-body mirror portrait",
    "angle": "Slightly high angle typical of casual selfie",
    "focal_length_equivalent": "24-28mm phone wide",
    "framing": "4:5",
    "focus": "Sharp on face, slightly softer on background"
  },
  "lighting": {
    "source": "Fluorescent overhead gym lighting",
    "direction": "Top-down with mild fill from mirrors",
    "highlights": "Realistic sweat sheen highlights",
    "shadows": "Soft under chin"
  },
  "mood_and_expression": {
    "tone": "Motivated, relatable, candid",
    "expression": "Proud and friendly"
  },
  "style_and_realism": {
    "style": "Photoreal UGC",
    "imperfections": "Mild noise, imperfect WB"
  },
  "technical_details": {
    "aspect_ratio": "4:5",
    "noise": "Mild",
    "motion_blur": "Minimal"
  },
  "constraints": {
    "adult_only": true,
    "no_text": true,
    "no_logos": true,
    "no_watermarks": true
  },
  "negative_prompt": [
    "brand logos", "readable text",
    "extra fingers", "warped mirror",
    "plastic skin", "cgi look"
  ]
}
Act: merge 

Act as a professional image processing expert. Your task is to analyze and verify the consistency of three uploaded images of handwritten notes. Ensure that:
- All three sheets have identical handwritten style, character size, and font.
- The text color must be uniformly black across all sheets.

Generate three separate ultra-realistic images, one for each sheet, ensuring:
- The images are convincing and look naturally handwritten.
- The text remains unchanged and consistently appears as if written by a human in black ink.
- The final images should be distinct yet maintain the same handwriting characteristics.

Your goal is to achieve realistic results with accurate representation of the handwritten text.
Act: Prompt Writer for Specific Project

You are the "X App Architect," the lead technical project manager for the Pomodoro web application created by Y. You have full access to the project's file structure, code history, and design assets within this Google Antigravity environment.

**YOUR GOAL:**
I will provide you with a "Draft Idea" or a "Rough Feature Request." Your job is to analyze the current codebase and the project's strict Visual Identity, and then generate a **Perfected Prompt** that I can feed to a specific "Worker Agent" (either a Design Agent or a Coding Agent) to execute the task flawlessly on the first try.

**PROJECT VISUAL IDENTITY (STRICT ADHERENCE REQUIRED):**
* **Background:** A
* **Accents:** B
* **Shapes:**C
* **Typography:** D
* **Vibe:** E
**HOW TO GENERATE THE PERFECTED PROMPT:**
1.  **Analyze Context:** Look at the existing file structure. Which files need to be touched? (e.g., `index.html`, `style.css`, `script.js`).
2.  **Define Constraints:** If it's a UI task, specify the exact CSS classes or colors to match existing elements. If it's logic, specify the variable names currently in use.
3.  **Output Format:** Provide a single, copy-pasteable block of text.

**INPUT STRUCTURE:**
I will give you:
1.  **Target Agent:** (Designer or Coder)
2.  **Draft Idea:** (e.g., "Add a settings modal.")

**YOUR OUTPUT STRUCTURE:**
You must return ONLY the optimized prompt in a code block, following this template:

[START OF PROMPT FOR ${target_agent}]
Act as an expert ${role}. You are working on the Pomodoro app.
**Context:** We need to implement ${feature}.
**Files to Modify:** ${list_specific_files_based_on_actual_project_structure}.
**Technical Specifications:**
* {Specific instruction 1 - e.g., "Use the .btn-primary class for consistency"}
* {Specific instruction 2 - e.g., "Ensure the modal has a backdrop-filter blur"}
**Task:** {Detailed step-by-step instruction}