Writing & Content — Vol. 48
Copy, tweak, and ship in minutes
Writing & Content — Vol. 48 — 9 ready-to-use prompts for writing & content. Copy any prompt, fill in the bracketed details, and paste it into your favourite AI model.
Overview
9 prompts with one job: helping writing & content move faster with AI. That's the Writing & Content — Vol. 48. You'll get prompts such as “Digital Sea”, “Generate literature search report” and “Generate Academic Taxonomy”. Think of them as scaffolding: the hard part — structure and framing — is done, so your input is what makes each result yours. Drop one into ChatGPT, Claude and Gemini, then ask for tweaks until it fits — shorter, sharper, or a different angle.
What’s inside
(9)1.Black Effect on person
Turn it into a black & White image. Make the background solid black. So everything blends nicely. Keep the person exactly the same.
2.Feature coding template
You are a senior software engineer with keen understanding in ${language}. I am working on ${project_or_feature_description}. Your task: - ${task_1} - ${task_2} - ${task_N} - ensure consistent styling and verify adherence to language-specific best practices - Check for proper error handling - ensure that the changes are covered in the tests - update README and comments where necessary after update, return general recommended commit message containing commit name followed by what changed in bullet points e.g. <type>(<optional_scope>): <description> <bullet> <body> ...3.Digital Sea
I want you to act as a VFX Artist focused on bioluminescent fluid simulations and particle-based environmental effects. Objective: Design an interactive "Digital Sea" where particles behave like bioluminescent plankton reacting to mouse movement or touch events. Key Mechanics: Develop a smoothed-particle hydrodynamics (SPH) or a simplified grid-based fluid solver to govern particle flow. Implement a "Luminescence Decay" logic where particles brighten upon collision or high-velocity movement and slowly fade back to a baseline glow. Use an additive blending mode and a custom Bloom pass to create a high-end cinematic glow effect. Integrate a "Vortex Field" where users can create swirls in the particle field that persist for a set duration. Optimize the system using GPU Instanced Meshes to ensure a stable 60 FPS even with 100,000+ active particles. Please describe the physics parameters and provide the GLSL code for the fragment shader responsible for the glowing trail effect.
4.Generate literature search report
Development of cryogels using biodegradable polymers and nanoparticles for environmental monitoring and effective remediation
5.Generate Academic Taxonomy
Act as a taxonomy expert. You are skilled in creating structured taxonomies for academic topics. Your task is to generate a comprehensive taxonomy for the field of ${topic}. You will: - Identify major fields and subfields - Organize them into a clear hierarchical structure - Include all relevant disciplines and their interconnections Rules: - Maintain academic rigor and accuracy - Ensure logical organization and clarity Example: - Field: Biology - Subfield: Molecular Biology - Topic: Genetics - Subtopic: Gene Expression6.Realistic Amateur Phone Photo with WhatsApp Chat
Create a realistic, poorly taken amateur photo of a physical smartphone showing a WhatsApp chat on its screen. The phone should be held vertically in one hand, with visible dark bezels/case, warm dim indoor lighting, slight tilt, blur, grain, glare, reflections, uneven focus, and imperfect framing. It must look like a bad real-world photo of a phone screen, not a clean screenshot. On the phone screen, show an iPhone-style WhatsApp conversation in Turkish with the contact name ${receiver_name} and a small profile photo attached photo (if not provided use default whatsapp profile icon). Chat subject: ${talk_subject} Generate the WhatsApp dialogue naturally based on the subject above. The contact’s messages should be in ${language_name:Turkish} language and ${talk_style} (e.g. broken ${language_name:Turkish} with typos and awkward wording. My messages should be correct ${language_name:Turkish} with no typos). Use realistic white incoming bubbles, green outgoing bubbles, timestamps, blue double-check marks, and a WhatsApp input bar at the bottom. Keep the screen readable but slightly blurry, like a poorly photographed phone screen.7.Photo emhanced
"A professional, ultra-realistic 8K extremely high resolution masterpiece of [You decide content of the picture your self ]. Hyper-detailed textures, cinematic studio lighting with deep contrast, brighter colors,sharp focus on every detail. Shot on Sony A1 with 85mm f/1.8 lens for extreme clarity. Enhance the colors to be vibrant and rich (10-bit color),adjust luminance,apply micro-contrast, and add more high dramatic rim lighting to create depth. The surface should have realistic reflections and textures. Professional post-processing, no noise, and pixelation,adjust noise reduction, high dynamic range (HDR),highly detailed, sharp edges,crystal clear every pixels, incredibly lifelike and crisp,deep pastel colors, smooth texture, clean lighting, shallow depth of field, Preserve original pose, preserve original composition, preserve original identity, preserve original expression, preserve original outfit, preserve original background elements, do not change subject structure.
8.rebuttal
i have compeleted the reviewas atached. nowi wamt you toheck all the questiona asnweredproperlyornpt
9.Test-Driven Bug Hunting With Reproduction Agents
Bug report: ${bug}. Follow this strict protocol: PHASE 1 (Reproduce): Write mock-based failing tests that reproduce the exact reported scenario—do not edit any production code yet. Show me the failing test output. PHASE 2 (Hypothesize): List every plausible root cause ranked by likelihood, with evidence from the codebase via Grep/Read. PHASE 3 (Parallel Fix): Spawn one sub-agent per top-3 hypothesis via the Task tool; each agent fixes its hypothesis on a separate git worktree/branch and reports whether the failing test now passes plus whether the full suite stays green. PHASE 4 (Synthesize): Recommend which fix to merge and why, then commit. Refuse to skip phases.
How to use this pack
Step 1
Pick a prompt
Browse the 9 prompts and pick the closest match — “Black Effect on person” is a good place to start.
Step 2
Copy it
Hit Copy on the prompt you want, or grab the whole set with “Copy all 9 prompts”.
Step 3
Fill in the blanks
Fill in the [bracketed] placeholders with your specifics — that's what makes the output yours.
Step 4
Run and refine
Drop it into ChatGPT and refine in a reply or two until it fits writing & content.
Who it’s for
- Beginners who want a proven starting point instead of a blank prompt box
- Busy people who'd rather edit a solid draft than write one from scratch
- Small teams standardizing how they use AI day to day
Tips for better results
- If the first result isn't right, don't rewrite the prompt — just reply with what to change ("make it shorter", "more formal", "add examples").
- Paste in real context (a URL, your notes, a previous draft) so the model works from your material, not generic assumptions.
- Ask the model to give you 3 options, then combine the best parts of each.
- Tell it your audience and tone up front; it changes the output more than any other instruction.
Source: awesome-chatgpt-prompts · CC0-1.0
Frequently asked questions
Is the Writing & Content — Vol. 48 free to use?
Yes. All 9 prompts in this pack are free to read, copy and use — including for commercial work. PromptsVault is ad-supported, with no account, checkout or paywall.
Which AI models do these prompts work with?
They're model-agnostic and work with ChatGPT, Claude and Gemini and most other assistants. Copy a prompt and paste it into whichever tool you prefer.
How many prompts are included?
9 prompts. They're adapted from awesome-chatgpt-prompts (CC0-1.0).
Do I need to know prompt engineering?
No. Each prompt is already structured — just replace the [bracketed] placeholders with your details and run it.
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