Cineprompt

Output is JSON: {"url":"https://cineprompt.io/p/abc123","shortCode":"abc123","promptText":"...","mode":"single"}

You can also pass the prompt text explicitly if you've crafted it by hand:

echo '{"state":<STATE_JSON>,"prompt":"Your custom prompt text"}' | node <skill>/scripts/create-share-link.js --api-key cp_xxx

State JSON Structure

{
  "mode": "single",
  "complexity": "complex",
  "subjectType": "character|object|vehicle|creature|landscape|abstract",
  "fields": { ... },
  "shots": [],
  "characters": []
}

Required Top-Level Fields

• mode: Always "single" for now (multishot/fm support later)
• complexity: "simple" or "complex" — complex unlocks format, camera body, lens, film stock, color science
• subjectType: Which subject panel to show
• fields: Object mapping field names to values (strings or arrays)

Field Reference

All valid field names and values are in <skill>/field-values.json. Key fields:

Style:

• media_type (array): ["cinematic"], ["cinematic","documentary"], etc.
• documentary_style: only when documentary is in media_type
• genre: only when cinematic is in media_type (array OK)
• commercial_type: only when commercial is in media_type
• tone (array): ["peaceful"], ["dramatic","moody"]
• format: (complex only) "35mm Film", "16mm Film", "DSLR / Mirrorless", etc.

Subject — depends on subjectType:

• landscape: land_season, land_scale
• character: char_label, age_range, build, hair_style, hair_color, subject_description, wardrobe, expression, body_language, framing
• creature: creature_category, creature_label, creature_size, creature_body, creature_skin, creature_description
• object: obj_description, obj_material, obj_condition, obj_scale
• vehicle: veh_type, veh_description, veh_era, veh_condition
• abstract: abs_description, abs_quality, abs_movement

Actions:

• movement_type (array): ["walking"], ["running","turning"]
• pacing: "in real-time", "in slow motion", "time-lapse", etc.
• action_primary: free text describing the primary action

Environment:

• setting: "exterior", "interior", "interior to exterior", "exterior to interior"
• location_type: "open field, meadow", "urban street", "forest", etc.
• custom_location: free text location description
• location: free text additional location details
• env_time: "golden hour, warm late afternoon light", "night", "dawn", etc.
• weather: "clear sky", "overcast", "rain", "fog", etc.
• props: free text
• env_fg, env_mg, env_bg: foreground/midground/background free text

Cinematography:

• shot_type: "establishing shot", "close-up", "wide shot", "medium", etc.
• movement: "pull out", "push in", "dolly", "tracking", "static", "orbit", etc.
• camera_body: (complex) "ARRI Alexa 65", "RED V-Raptor", "Sony Venice 2", etc.
• focal_length: "24mm lens", "35mm lens", "50mm lens", "85mm lens", etc.
• lens_brand: (complex) "Cooke S4/i", "ARRI Master Prime", etc.
• lens_filter: (complex) "Black Pro-Mist", "Glimmerglass", etc.
• dof: "deep focus", "shallow depth of field, bokeh", "tilt shift miniature", etc.
• lighting_style: "soft light", "hard light", "high contrast", "silhouette", "backlight", etc.
• lighting_type: "daylight", "moonlight", "candlelight", "neon", etc.
• key_light, fill_light: (complex) free text

Palette:

• color_science: (complex) "ARRI LogC3 flat log footage, ungraded", etc.
• film_stock: (complex) "Kodak Portra 400 film colors", "Kodak Vision3 500T film colors", etc.
• color_grade: "warm tones", "cool tones", "teal and orange", "desaturated", "black and white", etc.
• palette_colors: free text (primary/secondary colors)
• skin_tones: free text

Sound:

• sfx_environment (array): ["birds singing, nature ambience"], ["city traffic"], ["wind"]
• sfx_interior (array): ["room tone"], ["clock ticking"]
• sfx_mechanical (array): ["engine"], ["machinery"]
• sfx_dramatic (array): ["bass rumble"], ["heartbeat"]
• ambient: free text custom ambient/SFX
• music_genre: "orchestral score", "electronic score", "jazz score", etc.
• music_mood: "tense, building", "melancholic, sparse", etc.
• music: free text custom music description

Translation Guide

When a user describes a shot, map their words to CinePrompt fields:

Picking the Right Complexity

• Simple: Use for most shots. Covers style, subject, actions, environment, basic cinematography, palette, sound.
• Complex: Use when the user specifies camera body, lens brand, film stock, color science, lens filters, or custom lighting rigs. These fields only appear in complex mode.

Example

User: "A weathered fisherman standing on a dock at dawn, fog rolling in, handheld close-up, desaturated"

{
  "mode": "single",
  "complexity": "simple",
  "subjectType": "character",
  "fields": {
    "media_type": ["cinematic"],
    "tone": ["moody"],
    "char_label": "A weathered fisherman",
    "subject_description": "Deep wrinkles, sun-damaged skin, salt-crusted hands",
    "expression": "stoic, gazing out to sea",
    "pacing": "in real-time",
    "setting": "exterior",
    "location_type": "dock, pier",
    "env_time": "dawn, first light",
    "weather": "fog",
    "shot_type": "close-up",
    "movement": "handheld",
    "dof": "shallow depth of field, bokeh",
    "lighting_style": "soft light",
    "lighting_type": "daylight",
    "color_grade": "desaturated",
    "sfx_environment": ["waves crashing, water ambience"]
  },
  "shots": [],
  "characters": []
}

Then pipe it to the script and send the user the resulting URL.

Batch Workflow

For multi-shot sequences, create each shot as a separate share link. Present them as a numbered list with URLs. The user can then open each, tweak, and copy prompts into their video tool of choice.

Notes

• The script auto-generates prompt text matching CinePrompt's frontend logic (section ordering, merge rules, sentence assembly)
• You can override with --prompt if you want to hand-craft the text
• Share links restore the full form state including complexity tab and subject type
• Valid field values: check <skill>/field-values.json for exact button values
• Array fields (media_type, tone, sfx_*, movement_type) accept multiple values
• Free text fields (custom_location, subject_description, action_primary, etc.) accept any string