generate-slide

name: generate-slide description: "Creates a single project slide or one-page visual summary for a repo. Use when generating a project intro image or promotional slide." when_to_use: "create slide, project slide, one-page summary, promotional image, repo intro slide" allowed-tools: ["Read", "Write", "Edit", "Bash", "Glob", "Grep", "AskUserQuestion"] argument-hint: "[project-path|description]"

Generate Slide Skill

Automatically generates single-slide images that introduce and explain a project, using the Nano Banana Pro (Gemini 3 Pro Image Preview) API.

Overview

Generates 3 patterns x 2 candidates each = 6 images total → quality check per pattern → retry if NG → outputs the best 1 image per pattern, 3 images total.

Prerequisites

• GOOGLE_AI_API_KEY environment variable is set
• Nano Banana Pro (Gemini 3 Pro Image Preview) is enabled in Google AI Studio

Feature Details

Execution Flow

/generate-slide
    |
    +--[Step 1] Information Gathering
    |   +-- User-specified text or automatic codebase analysis (README, package.json, etc.)
    |   +-- Extract project name, overview, key features, and tech stack
    |
    +--[Step 2] Specification Confirmation (AskUserQuestion)
    |   +-- Size and aspect ratio (default: 16:9 / 2K)
    |   +-- Tone (tech, casual, corporate, etc.)
    |   +-- Points to emphasize (ask only when ambiguous)
    |
    +--[Step 3] Generate 3 patterns x 2 images (Nano Banana Pro API x 6 calls)
    |   +-- Pattern A: Minimalist (2 images)
    |   +-- Pattern B: Infographic (2 images)
    |   +-- Pattern C: Hero Visual (2 images)
    |
    +--[Step 4] Quality check per pattern
    |   +-- Claude reads the 2 images per pattern via Read
    |   +-- 5-level scoring → higher score becomes the candidate
    |   +-- Both score 2 or below → improve prompt and retry (up to 3 times)
    |   +-- Retry limit reached → report to user, choose to continue or skip
    |
    +--[Step 5] Output the best 3 images
        +-- Copy the best 1 image per pattern to selected/
        +-- Present the results list (path + score + evaluation comment) to the user

Design Patterns

Output Destination

out/slides/
+-- minimalist_1.png       # Pattern A candidate 1
+-- minimalist_2.png       # Pattern A candidate 2
+-- infographic_1.png      # Pattern B candidate 1
+-- infographic_2.png      # Pattern B candidate 2
+-- hero_1.png             # Pattern C candidate 1
+-- hero_2.png             # Pattern C candidate 2
+-- selected/
|   +-- minimalist.png     # Pattern A best
|   +-- infographic.png    # Pattern B best
|   +-- hero.png           # Pattern C best
+-- quality-report.md      # Quality check results report

Execution Steps

Step 1: Information Gathering

Collect project information in the following priority order:

1. User-specified text: Use the project description if provided as an argument
2. Automatic codebase analysis: If no argument is provided, automatically analyze the following:
   • README.md — Project overview
   • package.json / Cargo.toml / pyproject.toml — Project name, description, dependencies
   • CLAUDE.md — Project structure and purpose
   • Plans.md — In-progress tasks (if present)

Information to extract:

Step 2: Specification Confirmation

Confirm the following via AskUserQuestion (only ask when ambiguous, as defaults are available):

Question 1: What size and aspect ratio for the slide?
  - 16:9 / 2K (recommended)
  - 4:3 / 2K
  - 1:1 / 2K
  - Custom

Question 2: What tone?
  - Tech (dark theme, code aesthetic)
  - Casual (bright, friendly)
  - Corporate (formal, trustworthy)
  - Creative (bold, art-oriented)

Step 3: Image Generation

Follow the steps in slide-generator.md to generate 3 patterns x 2 images = 6 images.

Since each pattern's generation is independent, run curl in parallel where possible:

# Parallel execution example (3 patterns x 2 images)
for pattern in minimalist infographic hero; do
  for i in 1 2; do
    # Execute the curl pattern from slide-generator.md
    # → Save to out/slides/${pattern}_${i}.png
  done
done

Step 4: Quality Check

Evaluate the 2 images per pattern according to the criteria in slide-quality-check.md:

1. Read each image via Read
2. 5-level scoring (information conveyance, layout, text readability, professionalism, brand alignment)
3. Select the higher-scoring image within each pattern as the candidate
4. Both score 2 or below → improve prompt and regenerate (up to 3 times)

Step 5: Result Output

# Copy the best images to selected/
mkdir -p out/slides/selected
cp out/slides/minimalist_best.png out/slides/selected/minimalist.png
cp out/slides/infographic_best.png out/slides/selected/infographic.png
cp out/slides/hero_best.png out/slides/selected/hero.png

Generate the quality report (out/slides/quality-report.md):

# Slide Quality Report

## Generation Info
- Project: {project_name}
- Generated at: {datetime}
- Aspect ratio: {aspect_ratio}
- Tone: {tone}

## Results Summary

| Pattern | Candidate 1 | Candidate 2 | Selected | Score |
|---------|------------|------------|----------|-------|
| Minimalist | 3/5 | 4/5 | Candidate 2 | 4/5 |
| Infographic | 4/5 | 3/5 | Candidate 1 | 4/5 |
| Hero Visual | 5/5 | 4/5 | Candidate 1 | 5/5 |

## Detailed Evaluation
...

Error Handling

GOOGLE_AI_API_KEY Not Set

GOOGLE_AI_API_KEY is not set.

Setup instructions:
1. Get an API key from Google AI Studio: https://ai.google.dev/aistudio
2. export GOOGLE_AI_API_KEY="your-api-key"

Retry Limit Reached for All Patterns

Present options via AskUserQuestion:

Images for pattern {pattern} did not meet the criteria after 3 retries.

Options:
1. Use the highest-scoring image and continue
2. Skip this pattern
3. Manually specify a prompt and regenerate

Related Skills

• generate-video — Product demo video generation (shares the image generation engine)
• notebook-lm — Document and slide generation (different approach)