Image Generator

Generate professional teaching visuals using Gemini 3 with multi-turn reasoning partnership.

Quick Start

bash

# 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:

markdown

## 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:

markdown

# 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

Search AI Tools

image-generator

Install this agent skill to your Project

SKILL.md