No-Code Agentist

🎨 STOP GUESSING AT IMAGE & VIDEO PROMPTS. ✍️ TYPE ONE SHORT IDEA — AN AI SKILL EXPANDS IT INTO A MODEL-READY, CINEMATIC PROMPT FOR MIDJOURNEY, FLUX, GPT IMAGE, SEEDANCE, KLING & MORE. Prompts feel thin? Motion looks wrong? Same idea, different model every time? One sentence becomes a production prompt with lighting, camera, style, negatives, and video motion — tuned per engine. It's called the AI Visual Prompt Enhancer. Full code below — copy everything, save as SKILL.md, and start generating. █ █ SKILL CODE START — copy everything below █ █ --- name: ai-visual-prompt-enhancer description: > Transform simple ideas into production-ready prompts for AI text-to-image (Midjourney V8, GPT Image 2, Flux.2, Ideogram 4, Seedream, Stable Diffusion 3.5) and text-to-video (Seedance 2.0, Kling 3.0, Runway Gen-4.5, Google Veo 3.1, Sora 2, Luma Ray 3, MiniMax Hailuo, Pika) generation. Use when the user prefixes a message with /p_img, /p_vid, or asks to enhance/create a prompt for AI image or video generation. --- # AI Visual Prompt Enhancer ## Trigger When the user's message starts with `/p_img` or `/p_vid`, OR when the user asks to "enhance this prompt for Midjourney", "write a GPT Image prompt", "create a prompt for Kling", "Seedance prompt", or any similar request targeting AI image/video generation. - `/p_img` → text-to-image prompt enhancement - `/p_vid` → text-to-video prompt enhancement - If the user doesn't specify, ask whether the target is image or video (or both) Extract the core idea — everything after the trigger prefix. ## Core Principle The user has a raw visual idea but may not know how to communicate it effectively to an AI model. Your job is to expand it into a precise, structured prompt that a specific AI model will interpret well — turning "a dog in a park" into a detailed, cinematic, production-ready prompt. Every run should offer creative direction while staying faithful to the user's core vision. Language: All skill content and default outputs use American English (US spelling and wording). Use `color` not colour, `gray` not grey, `center` not centre, `favor` not favour, `fall` for the season when natural. --- ## Part A: Text-to-Image Prompts (`/p_img`) ### The Core Formula Every strong image prompt follows this structure: ``` [Subject] + [Description/Context] + [Style/Aesthetic] + [Technical/Format] ``` 1. Subject — Concrete noun(s), the main focus. Not "happiness" but "a smiling child running through wheat". 2. Description — Adjectives, action, environment, mood, time of day, weather. 3. Style — Art movement, artist reference, medium, or photographic approach. 4. Technical — Camera lens, lighting, aspect ratio, resolution keywords, composition. ### Enhancement Dimensions Expand the user's idea across ALL applicable dimensions: #### 1. Subject Detail & Composition - Specific appearance (age, ethnicity, clothing, colors, textures) - Pose and expression (what is the subject doing? how do they look?) - Composition (centered, rule of thirds, close-up, wide shot, Dutch angle) - Subject count and spatial arrangement (foreground/midground/background) #### 2. Environment & Atmosphere - Location specificity (not "a forest" but "a dense redwood forest with moss-covered trunks") - Time of day (golden hour, blue hour, midnight, overcast noon) - Weather and atmospheric conditions (mist, fog, rain, snow, dust motes) - Season indicators (fall leaves, spring blossoms, bare winter branches) #### 3. Lighting Design - Light source (natural sunlight, studio softbox, neon signs, candlelight, moonlight) - Lighting style (Rembrandt lighting, backlighting, rim light, volumetric light, chiaroscuro, soft diffused, harsh direct) - Color temperature (warm amber, cool blue, mixed lighting) - Shadows (deep shadows, soft shadows, no shadows, dramatic contrast) #### 4. Style & Aesthetic Pick ONE dominant style direction: | Category | Keywords | |----------|----------| | Photography | photorealistic, 35mm film, 85mm portrait lens, street photography, documentary style, fashion editorial, astrophotography, macro photography, aerial photography | | Film Stock | Kodak Vision3 500T, Fujifilm Velvia, Ilford HP5 black and white, cinematic Kodak Gold, 16mm film grain | | Art Movements | impressionist, art nouveau, Bauhaus, abstract expressionism, surrealism, baroque, minimalism, pop art | | Artist Style | in the style of Studio Ghibli, Hayao Miyazaki aesthetic, Wes Anderson color palette, Gregory Crewdton atmosphere, Annie Leibovitz portraiture | | Medium | oil painting, watercolor, charcoal sketch, pencil drawing, ink wash, acrylic, pastels, colored pencils | | Digital Art | 3D render, Unreal Engine 5, Octane render, pixel art, vector illustration, cel-shaded, low-poly | | Mood | cinematic, ethereal, dystopian, dreamy, dark and moody, bright and cheerful, melancholic, epic, intimate | #### 5. Technical Specifications - Camera: `shot with 85mm f/1.4 lens`, `wide-angle 24mm`, `50mm standard`, `telephoto 200mm` - Depth of field: `shallow depth of field`, `bokeh background`, `deep focus`, `tilt-shift` - Quality boosters: `8K resolution`, `highly detailed`, `sharp focus`, `professional quality`, `intricate details` - Aspect ratio: specify the target ratio (see model-specific section) #### 6. Negative Prompt (where supported) Elements to exclude (Flux, SD, Midjourney `--no`, some platforms): - Quality: `blurry, low quality, pixelated, grainy, artifacts, noise, low resolution` - Anatomy: `extra fingers, deformed hands, distorted face, bad anatomy, extra limbs, asymmetrical eyes` - Unwanted: `text, watermark, signature, logo, date stamp, cropped, cut off` - Style conflicts: When wanting photorealism → `cartoon, anime, 3D render, painting` ### Model-Specific Targeting (Image) When enhancing, adapt the prompt structure to the target model: #### Midjourney V8 / V8.1 - Prefers concise comma-separated phrases, 4–10 key descriptors - Append parameters: `--ar 16:9`, `--style raw`, `--v 8`, `--no text watermark` - Example: `sleek black smartwatch, white marble surface, soft studio lighting, shallow depth of field, 8K --ar 16:9 --style raw` - Short, high-signal phrases over long paragraphs - Positional weighting: `desert::2 camel::1` (desert is twice as important) - Best for: artistic exploration, cinematic aesthetics, strong art direction #### GPT Image 2 (OpenAI) - Prefers conversational, natural language — full sentences - Excellent prompt adherence, text-in-image, and multi-turn refinement - Example: `Create a photorealistic image of a golden retriever catching a frisbee mid-jump in Central Park. The scene is set during golden hour with warm sunlight filtering through fall trees. Shot with an 85mm lens for a shallow depth of field, with the background beautifully blurred.` - Strong at complex compositions, editing workflows, and readable text inside the image - More forgiving of long, natural descriptions than keyword-style models #### Flux.2 (Pro / Flex / Max — Black Forest Labs) - Superior for photorealism, color accuracy, and commercial work - Responds well to detailed technical descriptions - Example: `Professional headshot portrait of a confident businesswoman, age 35, shoulder-length brown hair, warm smile, navy blazer, soft studio lighting, blurred office background, shot with 85mm lens, f/2.8, slight film grain, editorial quality` - Clean, descriptive language without excessive quality spam - Strong multi-reference and product consistency on newer Flux.2 variants #### Stable Diffusion 3.5 / SDXL-class open models - Rewards structured, weighted keywords - Supports negative prompts (dedicated field) - Advanced: `(keyword:1.5)` for emphasis, `(keyword:0.7)` to de-emphasize - Supports LoRAs, ControlNets, IP-Adapter for precise control - Example: `(masterpiece, best quality, ultra-detailed:1.2), portrait of a samurai, cherry blossom garden, cinematic lighting, (dramatic pose:1.3), shot on 35mm film` #### Ideogram 4 / Seedream 4.5 / Recraft - Ideogram 4: Excels at text rendering and typography — specify text content explicitly - Seedream 4.5: Strong product shots, 4K detail, text-heavy marketing creatives - Recraft: Design-oriented (logos, brand assets, vector-friendly outputs) - Example (Ideogram): `Coffee shop sign that says "COFFEE" in clear bold sans-serif letters, rustic wooden board, warm interior background` ### Output Format (Image) ``` ## Original Idea > [the core idea extracted from /p_img] ## Enhanced Prompt ### [Model Name] Version ``` [prompt optimized for this specific model] ``` ### Prompt Breakdown - Subject: [what's depicted] - Environment: [setting and atmosphere] - Lighting: [light source and quality] - Style: [aesthetic direction] - Technical: [camera, lens, format details] - Negative: [what to avoid — if applicable] ### Variations 1. [alternative style direction — e.g., "same scene, but oil painting style"] 2. [alternative mood — e.g., "night version with neon lighting"] 3. [alternative composition — e.g., "aerial drone perspective"] --- Tip: Change one element at a time between generations to learn what works. ``` ### Variation Engine (Image) When the same idea is enhanced multiple times, vary: | Dimension | Variation Examples | |-----------|-------------------| | Style | Photorealistic → Cinematic → Oil Painting → Anime/Cel-shaded → 3D Render → Watercolor | | Lighting | Golden hour → Moody overcast → Neon/night → Studio → Volumetric sunbeams → Bioluminescent | | Camera | Close-up portrait → Wide landscape → Aerial drone → Macro → Low angle → Over-the-shoulder | | Mood | Serene → Dramatic → Playful → Mysterious → Epic → Intimate | | Era | Contemporary → Retro/vintage → Futuristic → Historical → Fantasy | --- ## Part B: Text-to-Video Prompts (`/p_vid`) Video prompts differ fundamentally from image prompts: you're not describing a static scene — you're describing a shot that unfolds through time. ### The Core Formula ``` [Camera Shot + Movement] + [Subject + Action] + [Environment + Scene Motion] + [Lighting] + [Style] + [Audio cue if supported] ``` Order matters — most video models weight earlier concepts more heavily. ### Enhancement Dimensions #### 1. Camera Shot & Movement This is the first element — it establishes framing: | Camera Type | Keywords | |-------------|----------| | Static | locked camera, tripod shot, still camera | | Handheld | handheld camera, shaky handheld, documentary handheld | | Dolly/Track | slow dolly forward, tracking shot, lateral dolly, dolly out | | Pan/Tilt | slow pan left, tilt up, tilt down, arc shot, orbit | | Zoom | slow push-in, pull-back reveal, gentle zoom in | | Aerial | aerial drone shot, drone flyover, bird's eye view, drone pullback | | Special | crash zoom, whip pan, Steadicam, gimbal shot, overhead top-down | #### 2. Subject Motion (The Action) Describe what moves and how: - Keep it simple and specific — one or two actions per subject - Refer to subjects generally: `the subject turns`, `she raises her hand`, `he walks away` - For multiple subjects: `The woman on the left walks forward. The man on the right remains still.` - Good motion descriptors: walks, turns, smiles, waves, runs, falls, transforms, floats, ripples, blooms - Avoid complex choreography — models handle slow, deliberate motion best - For characters: prefer medium shots (faces too close = more artifacts) #### 3. Scene / Environment Motion How the world reacts: - Implied (via adjectives): `dusty desert` → implies dust kicks up - Explicit: `dust trails behind them as they move` - Examples: `gentle waves lap the shore`, `leaves rustle in the breeze`, `steam rises from the mug`, `neon reflections shimmer on wet pavement`, `storm clouds gather` #### 4. Lighting (Temporal) Lighting in video can change over time: - Static: `golden hour lighting`, `moonlit scene`, `neon-lit alley` - Dynamic: `lightning flashes illuminate the clouds`, `sun breaks through clouds`, `lights flicker on` #### 5. Style, Technical & Audio - Style: `cinematic`, `live-action`, `documentary style`, `anime`, `stop motion`, `claymation` - Film stock: `Kodak Vision3`, `Fujifilm Velvia`, `16mm film`, `anamorphic lens` - Quality: `smooth motion`, `high quality`, `4K`, `physically accurate motion` - Format: `vertical 9:16`, `seamless loop`, `slow motion`, `time-lapse` - Native audio (Seedance, Kling 3, Veo, Sora 2): optionally add short sound cues — `soft rain ambiance`, `distant train horn`, `footsteps on wet pavement` — keep them brief ### Video Prompt Best Practices 1. Start simple — Begin with subject + one motion, then add details 2. Positive phrasing only — Avoid "no blur", "don't shake" — describe what you WANT 3. Focus on motion, not description — In img2vid, the input image handles visuals; the text prompt describes movement 4. Avoid commands — Don't write "make the camera move" — write "slow camera pan" 5. One element at a time — Add camera motion first, then subject motion, then environment 6. Keep it direct — `the subject walks forward` > `I would like to see a person walking` 7. Match duration — Prefer motions that fit ~5–15s clips; multi-shot only when the model supports it (Seedance, Kling 3) ### Common Motion Fix-Phrases | Problem | Fix Phrase | |---------|-----------| | Motion too fast/jerky | Add `slow motion`, `smooth camera movement`, `gentle` | | Objects disappear | Reduce clip to 4–5 seconds, simplify scene | | Style is wrong | Add film stock refs or clear aesthetic labels | | Result completely wrong | Radically shorten to subject + one motion, then iterate | | Face artifacts | Use medium shot instead of close-up; avoid faces walking toward camera | | Rubber limbs / bad physics | Add `physically accurate motion`, `believable inertia`, `natural weight` | | Audio mismatch | Keep one clear ambient sound; avoid conflicting dialogue + music | ### Model-Specific Targeting (Video) #### Seedance 2.0 (ByteDance) - Frontier multi-shot model — strong for short films, ads, music-video style sequences - Supports multimodal references (characters, products, brand consistency across shots) - Native audio + picture in one pass on current generations - Responds to: director-style natural language — camera, action, cuts, sound - Best for: multi-shot storytelling, synced audio, reference-driven consistency - Example: `Multi-shot cinematic ad. Shot 1: product close-up on wet marble, soft rim light, camera slowly pushes in. Shot 2: wide of a runner on a rainy street at night, handheld tracking from the side, water splashes, neon reflections. Soft rain ambiance, subtle electronic pulse, 4K, photorealistic.` - Tip: Keep each shot's action simple; describe transitions clearly when using multi-shot #### Kling 3.0 (Kuaishou) - Strongest character-driven motion and realistic human performance; 4K-capable - Excellent physics, longer coherent clips (up to ~15s on current tiers) - Native audio on recent Kling 3 / Omni generations - Responds to: detailed natural language — subject action first, then camera and environment - Best for: people, product commercials, controlled references, action with believable inertia - Example: `A woman in a gray coat stands at a train platform at night. She looks left then right as a train passes behind her with motion blur. Still camera, moody street lighting, soft ambient city noise, cinematic, 4K.` - Tip: Prefer medium shots for faces; state one primary action per beat #### Runway Gen-4.5 - Power of simplicity — short prompts work best - Prefers lowercase, direct motion descriptions - Input image is king in img2vid — text focuses on motion - Best for: cinematic live-action, creative production workflows, iteration + editing suite - Example: `a handheld camera tracks the subject as they walk across the desert. dust trails behind. cinematic live-action.` - Avoid negative prompts — use positive descriptions only #### Google Veo 3.1 - Premium cinematic quality; strong outdoor, atmospheric, and brand-safe results - Handles detailed lighting, environment, and physics descriptions well - Native audio on current Veo generations - Example: `Aerial drone shot over a Norwegian fjord at sunset, water reflects pink and orange sky, gentle waves against rocky shores, slow forward movement, soft wind ambiance, photorealistic, 4K` #### Sora 2 (OpenAI) - Advanced multi-shot capability, strong physics and longer coherent narratives - Responds to detailed descriptive language about lighting, physics, and continuous action - Example: `Continuous shot: camera orbits a glass of iced coffee on a sunlit table as condensation drips down the glass; background cafe soft bokeh; natural window light shifts slightly; subtle room tone` #### Luma Ray 3 / Dream Machine lineage - Strong for dramatic environmental scenes and abstract motion - Responds to vivid descriptive language and camera choreography - Example: `Time-lapse of storm clouds forming over ocean, lightning flashes illuminate the undersides of dark cumulus clouds, wide shot, dramatic, high contrast` #### MiniMax Hailuo / Pika - Hailuo: Fast short-form, solid motion for social clips - Pika: Stylized looks, aesthetic labels, creative effects; often supports negative prompts - Example (Pika): `Eye-level tracking shot, woman walks through neon-lit alley in rain, cinematic, moody color grade, cyberpunk` - Example (Hailuo): `Slow dolly in on a steaming bowl of ramen, chopsticks lift noodles, warm kitchen light, shallow depth of field, smooth motion` ### Output Format (Video) ``` ## Original Idea > [the core idea extracted from /p_vid] ## Enhanced Prompt ### [Model Name] Version ``` [prompt optimized for this specific model] ``` ### Shot Breakdown - Camera: [shot type + movement] - Subject Motion: [what the subject does] - Scene Motion: [environmental movement] - Lighting: [light source and quality] - Style: [aesthetic direction] - Audio: [if native audio model — brief cue or "none"] ### Variations 1. [alternative camera angle — e.g., "aerial instead of ground-level"] 2. [different time of day — e.g., "night version with neon lights"] 3. [different mood — e.g., "peaceful morning instead of dramatic storm"] ### Tips for This Prompt - [model-specific tips, common pitfalls, iteration advice] --- Tip: Start with the simplest version. Once the basic motion works, add one detail at a time. ``` ### Variation Engine (Video) When the same idea is enhanced multiple times, vary: | Dimension | Variation Examples | |-----------|-------------------| | Camera | Static locked → Handheld → Drone aerial → Slow dolly → Orbit/arc → Top-down | | Speed | Normal speed → Slow motion → Time-lapse → Ultra slow motion | | Time | Golden hour → Blue hour → Night → Overcast → Sunrise → Sunset | | Weather | Clear → Rain → Fog → Snow → Wind → Storm | | Style | Cinematic → Documentary → Anime → Stop motion → Abstract fluid → Live-action | ### Quick Model Picker (Video) | Goal | Prefer | |------|--------| | Multi-shot story / ad with audio | Seedance 2.0 | | Realistic humans / character consistency | Kling 3.0 | | Creative iteration + pro editing tools | Runway Gen-4.5 | | Cinematic outdoor / premium atmospheric | Veo 3.1 | | Complex physics / long continuous action | Sora 2 | | Fast social / stylized short clips | Hailuo / Pika | --- ## Part C: Cross-Modal Workflow (Image → Video) When the user wants to turn an image into video: 1. First generate the image using an enhanced image prompt 2. Use that image as input for the video model (img2vid mode) 3. Video prompt focuses on motion only — the image provides all visual information 4. Keep the video prompt short: camera movement + subject motion + any new environmental motion (+ brief audio if supported) Example workflow: ``` Step 1: /p_img → Generate "portrait of a warrior in a cyberpunk alley, neon lighting, rain" Step 2: Upload that image to Seedance 2.0, Kling 3.0, or Runway Gen-4.5 (img2vid) Step 3: Video prompt → "slow dolly forward, rain falls, neon lights flicker, the subject slowly turns to look at camera, soft rain ambiance, cinematic" ``` --- ## Rules 1. Always preserve the core idea — enhance, don't replace what the user envisions 2. Be specific — no "nice lighting", always "golden hour backlighting with rim light" 3. Match the model — adapt syntax, structure, and length to the target AI model 4. Default language: American English — write all enhanced prompts, breakdowns, tips, and variations in US English (color, gray, center, favor, fall). Only switch language if the user explicitly asks for another language 5. Provide model-specific versions — when the user doesn't specify, offer 2–3 variants for different current models (for video prefer Seedance 2.0 + Kling 3.0 + one other) 6. Offer variations — give 2–3 alternative directions so the user can choose 7. Explain the breakdown — so the user understands WHY each element is there 8. Flag assumptions — if making a guess about what the user wants, note it 9. Don't overcomplicate — a simple scene stays simple, just detailed 10. Every run is different — vary the creative direction on re-runs ## Quick Reference: Common Prompt Patterns ### Portraits (Image) `[pose] portrait of [person description], [expression], [background], [lighting], [lens], [style]` ### Landscapes (Image) `[shot type] of [location], [environmental details], [time/weather], [lighting], [camera specs], [quality]` ### Products (Image) `Product photography of [item], [surface/background], [lighting], [angle], [material details], [quality]` ### Nature (Video) `[camera type], [environmental scene], [motion description], [lighting], [style]` ### Urban (Video) `[camera movement] through [city scene], [subject action], [environmental details], [lighting], [style]` ### Character (Video) `[shot type], [subject description and action], [background], [camera], [lighting], [style]` ### Abstract (Video) `[shot type], [abstract motion description], [colors], [background], [speed], [style]` ### Multi-shot Ad (Video — Seedance / Kling 3) `Multi-shot [genre]. Shot 1: [camera + action + light]. Shot 2: [camera + action + light]. [brief audio], [style], [resolution]` █ █ SKILL CODE END █ █ How to install: Same pattern on every agent that supports the Agent Skills standard (SKILL.md folder): <skills-root>/ai-visual-prompt-enhancer/SKILL.md Copy everything between SKILL CODE START and SKILL CODE END into that file. PI AGENT: ~/.agents/skills/ai-visual-prompt-enhancer/SKILL.md Restart pi → /p_img or /p_vid CLAUDE CODE: ~/.claude/skills/ai-visual-prompt-enhancer/SKILL.md (project: .claude/skills/ai-visual-prompt-enhancer/) New session → /p_img or /p_vid CURSOR: ~/.cursor/skills/ai-visual-prompt-enhancer/SKILL.md (also: ~/.agents/skills/ or .cursor/skills/) New chat → /p_img or /p_vid CODEX CLI: ~/.codex/skills/ai-visual-prompt-enhancer/SKILL.md (project: .agents/skills/ai-visual-prompt-enhancer/) New session → /p_img or /p_vid GROK: ~/.grok/skills/ai-visual-prompt-enhancer/SKILL.md (project: .grok/skills/ai-visual-prompt-enhancer/) Auto-reloads → /p_img or /p_vid HERMES / ANY OTHER: Drop the same folder into your agent's skills directory, or paste SKILL.md into custom instructions / system prompt. Trigger: /p_img, /p_vid, or "enhance this prompt for Midjourney / Kling / Seedance" Windows: use %USERPROFILE% instead of ~ e.g. %USERPROFILE%\.claude\skills\... One short idea in → model-ready visual prompt out. Go.