ReddRadar
Agent skill
image-generator
Generate professional visuals using Gemini via browser automation with 6-gate quality control. Use when creating chapter illustrations, diagrams, or teaching visuals. NOT for stock photos or decorative images.
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/92bilal26/image-generator
SKILL.md
Image Generator
Generate professional teaching visuals using Gemini 3 with multi-turn reasoning partnership.
Quick Start
# 1. Start browser (via browser-use skill)
bash .claude/skills/browser-use/scripts/start-server.sh
# 2. Navigate to Gemini
# Use browser_navigate to https://gemini.google.com/
# 3. Generate image from creative brief
# Paste creative brief → Wait 30-35s → Verify 6 gates → Download
Core Principles
- Reasoning over prediction - Creative briefs (Story/Intent/Metaphor) activate reasoning; pixel specs don't
- Multi-turn partnership - Teach Gemini your standards through principle-based feedback
- 6-gate quality - Explicit pass/fail before download
- Autonomous batch - No permission-asking between visuals
Input: Creative Brief Format
Receive from visual-asset-workflow:
## The Story
[Narrative about what's visualized]
## Emotional Intent
[What it should FEEL like]
## Visual Metaphor
[Universal concept for instant comprehension]
## Subject / Composition / Action / Location / Style
[Gemini 3 prompt structure]
## Color Semantics
Blue (#2563eb) = Authority | Green (#10b981) = Execution
## Typography Hierarchy
Largest: Key insight | Medium: Supporting | Smallest: Context
Do NOT convert to pixel specs - use as-is to activate reasoning.
Workflow (Per Visual)
| Step | Action | Tool |
|---|---|---|
| 1 | Navigate to gemini.google.com | browser_navigate |
| 2 | Select "🍌 Create Image" | browser_click |
| 3 | Paste creative brief | browser_type |
| 4 | Wait 30-35 seconds | browser_wait_for |
| 5 | Verify 6 gates (below) | Visual inspection |
| 6 | If fail: Iterate with feedback (max 3) | browser_type |
| 7 | If pass: Download full size | browser_click |
| 8 | Copy to apps/learn-app/static/img/part-{N}/chapter-{NN}/ |
Bash |
| 9 | Embed in lesson immediately | Edit |
| 10 | NEW CHAT for next visual | browser_navigate |
Quality Gates (ALL Must Pass)
| Gate | Criterion | Fail Action |
|---|---|---|
| 1. Spelling | 99% accuracy (Y-Combinator, Kubernetes) | Iterate |
| 2. Layout | Proportions match prompt (2×2 not 3×1) | Iterate |
| 3. Color | Brand colors match (#2563eb not #002050) | Iterate |
| 4. Typography | Largest = key concept (not decoration) | Iterate |
| 5. Teaching | <5 sec concept grasp at target proficiency | Iterate |
| 6. Uniqueness | Not duplicate of existing chapter image | New chat |
Decision: ALL pass → Download | ANY fail → Iterate (max 3 tries)
Iteration: Principle-Based Feedback
When gate fails, provide teaching feedback:
Gate 4 FAILED: Typography hierarchy incorrect
The largest text is "$100K" (supporting detail) but should be "$3T"
(key insight students must grasp).
Increase '$3T' to dominant size. Reduce '$100K' to supporting size.
Information importance drives sizing.
Batch Mode
When invoked with "generate all visuals":
For EACH visual in list:
A. NEW CHAT (context isolation)
B. Generate (paste brief)
C. Verify 6 gates
D. Iterate if needed (max 3)
E. Download when pass
F. Embed in lesson
G. Log "✅ N/M"
H. NEXT (no stopping)
Never ask: "Continue?" "Pause here?" "Review?"
Report at END only:
BATCH COMPLETE
✅ Generated: 16/18
⚠️ Deferred: 2 (quality issues)
Location: apps/learn-app/static/img/part-{N}/
Proficiency Limits
| Level | Max Elements | Grasp Time |
|---|---|---|
| A2 | 5-7 | <5 sec |
| B1 | 7-10 | <10 sec |
| C2 | No limit | N/A |
Token Conservation (Batch Mode)
For >8 visuals, condense briefs:
Original (250 tokens):
"Top Layer shows Coordinator at center top with label 'Orchestrator'
featuring conductor icon, with role 'Strategic oversight'..."
Condensed (80 tokens):
"Top Layer - Coordinator: Center top, 'Orchestrator' (conductor),
Role: 'Strategic oversight', Gold (#fbbf24), Large hexagon."
Keep: Story, Intent, Metaphor, Colors, Reasoning Condense: Long examples → Short labels
Anti-Patterns
| Don't | Why |
|---|---|
| Accept first output without 6 gates | Quality standard violation |
| Ask permission between batch items | Breaks autonomous agency |
| Convert briefs to pixel specs | Defeats reasoning activation |
| Skip embedding step | Creates orphan images |
| Reuse same chat for next visual | Context contamination |
Session Interruption
If session ends mid-batch, create checkpoint:
# Checkpoint: Part {N}
Status: INTERRUPTED at 8/18
## Completed:
- ✅ Image 1: filename (embedded lesson-01.md)
- ✅ Image 2: filename (embedded lesson-02.md)
## Remaining:
- ⏳ Image 8: filename
On continuation: Read checkpoint → Resume → Update incrementally
Success Indicators
- ✅ All 6 gates verified before download
- ✅ Batch completion without permission-asking
- ✅ Principle-based iteration feedback
- ✅ Images organized by part/chapter
- ✅ Immediate embedding (no orphans)
- ✅ >85% production-ready rate
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