image-prompt

name	image-prompt
description	Generate AI image prompts with visual identity and style consistency — reads brand charter, applies artistic styles, outputs multiple prompt variants. Triggers: "image-prompt" | "generate image prompt" | "image prompt" | "prompt for image" | "visual prompt" | "generate a prompt for Grok" | "generate a prompt for Midjourney" | "generate a prompt for flux" | "image generation prompt" | "create image prompt" | "prompt for dall-e".
version	0.1.0
allowed-tools	Read, Write, Bash, Glob

Image Prompt Generator

Let: χ := ~/.roxabi-vault/config/visual-charter.json φ := ~/.roxabi-vault/config/face-reference.json FACE_DESC := face description (set in Phase 2.5 if user wants their face in image)

Goal: Transform a concept into multiple ready-to-use image generation prompts, optionally aligned to a brand visual charter.

Phase 1 — Load Visual Charter

charter="$HOME/.roxabi-vault/config/visual-charter.json"
if [ -f "$charter" ]; then
  echo "CHARTER_FOUND: $charter"
  cat "$charter"
else
  echo "NO_CHARTER — using defaults (no brand constraints)"
fi

χ ∃ → parse brand identity: colors, style preferences, mood, avoidances. χ ∄ → proceed without brand constraints — inform user they can create one from examples/visual-charter.example.json. Check φ and load if ∃.

Phase 2 — Accept Concept & Intake

1. Concept ∄ via $ARGUMENTS → ask user "What image do you want to create? Describe subject, context, any specific requirements."

2. Ask structured follow-up (one message, all at once):

   • Platform: Instagram / LinkedIn / website / presentation / thumbnail / other
   • Content type: personal brand / product / educational / promotional / lifestyle / other
   • Mood/tone: professional / warm / dramatic / energetic / minimal / mysterious / other
   • Style preference: photographic / illustrated / 3D / no preference (optional override)
   • Aspect ratio: square 1:1 / portrait 4:5 or 9:16 / landscape 16:9 / no preference

3. Parse into creative brief: Subject | Context | Platform | Content type | Mood | Style | Aspect ratio

4. → present choice "Do you want your face/likeness in the image?" Options: Yes | No

   • yes → Phase 2.5
   • no → Phase 2.75 (skip to Phase 3)

Phase 2.5 — Face Reference Resolution

Execute only if user confirmed face in image.

1. φ found in Phase 1 → display summary: "Using your saved face reference: [description]. Still accurate? (yes/update)"
   • update → ask new description, overwrite file
2. φ ∄ → ask: "Describe your appearance (hair color/style, eye color, age range, skin tone, distinctive features)."
3. Save to vault:

mkdir -p "$HOME/.roxabi-vault/config"
cat > "$HOME/.roxabi-vault/config/face-reference.json" << EOF
{
  "description": "FACE_DESCRIPTION",
  "updated_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF

4. Store as FACE_DESC — injected into Subject component of ∀ prompt variant in Phase 4.

Phase 3 — Load Style References

echo "=== Loading references ==="
plugin_dir=$(dirname "$(dirname "$(dirname "$0")")")
for ref in references/artistic_styles.md references/prompt_best_practices.md; do
  if [ -f "$ref" ]; then
    echo "LOADED: $ref"
  fi
done

Read references/artistic_styles.md (available styles) and references/prompt_best_practices.md (prompt structure, platform tips).

Phase 4 — Generate Prompt Variants

Generate 4-6 variants from creative brief. ∀ variant includes:

Component	Description
Style	Artistic style from references — user style preference → lead with that; ∄ → distribute across categories
Subject	Detailed description — FACE_DESC ∃ → prepend: "[FACE_DESC], [rest of subject]"
Composition	Framing/perspective matched to target aspect ratio
Lighting	Source and quality matched to mood
Color palette	Dominant colors/harmony — χ ∃ → informed by brand charter
Mood	Emotional tone matched to brief
Technical	Resolution, aspect ratio, platform-specific rendering

Variant distribution: style preference given → 2-3 in that direction + 1-2 creative divergences. ∄ preference → 1-2 photographic, 1-2 illustration/digital art, 1 stylized, 1 experimental.

Phase 5 — Apply Brand Identity

χ ∃ → apply to ∀ variant:

1. Colors — incorporate brand palette (primary, secondary, accent)
2. Style alignment — match brand aesthetic and mood
3. Avoidances — exclude brand avoid list
4. Preferences — emphasize brand prefer list

Mark each: On-brand / Near-brand / Off-brand (deliberate divergence).

Phase 6 — Present Variants

Auto-save all variants before presenting:

save_dir="$HOME/.roxabi-vault/image-prompts"
mkdir -p "$save_dir"
date_prefix=$(date +%Y%m%d)
slug=$(echo "USER_CONCEPT" | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9]/-/g' | sed 's/-\{2,\}/-/g' | sed 's/^-\|-$//g' | cut -c1-40)
save_file="$save_dir/${date_prefix}_${slug}.md"
# Write concept, face reference (if used), and all variants to the file
echo "# Image Prompts — USER_CONCEPT" > "$save_file"
echo "Date: $date_prefix" >> "$save_file"
# Append each variant block
echo "Saved to: $save_file"

Present in structured format:

Variant 1 — [Style Name] [Brand Alignment]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Prompt: [full prompt text ready to copy]

Style: [style category]
Composition: [framing details]
Lighting: [lighting description]
Mood: [atmosphere]
Best for: [recommended platform/use case]

→ present choice Pick one (variant number) | Refine (variant + changes) | Regenerate (different styles) | Batch (run generate_prompt_variants.py)

Phase 7 — Batch Generation (Optional)

python3 scripts/generate_prompt_variants.py \
  --concept "user concept here" \
  --charter "$HOME/.roxabi-vault/config/visual-charter.json" 2>/dev/null || \
python3 scripts/generate_prompt_variants.py \
  --concept "user concept here"

Present batch results for selection.

$ARGUMENTS