Creating Sprites

Creating Sprites

Generate pixel-art game sprites via OpenAI's gpt-image-1.5 model with native transparent background support, then process them into game-ready assets with correct dimensions and proper anchoring.

Reference Files

Prerequisites

• OPENAI_API_KEY — an OpenAI API key
  • The generate script auto-loads from: --api-key flag → OPENAI_API_KEY env var → .env file in current directory
• Python dependencies: openai and Pillow (installed via requirements.txt in the skill's scripts/ directory)

Script Paths

All scripts/ paths in this skill are relative to the skill directory, not the project directory. Resolve them to absolute paths before running. For example, if the skill is installed at ~/.claude/skills/creating-sprites/, then scripts/generate_sprite.py means ~/.claude/skills/creating-sprites/scripts/generate_sprite.py.

Workflow Checklist

- [ ] Phase 0: Verify prerequisites
- [ ] Phase 1: Determine sprite requirements
- [ ] Phase 2: Prepare reference images
- [ ] Phase 3: Construct prompt
- [ ] Phase 4: Generate candidates
- [ ] Phase 5: Validate candidates
- [ ] Phase 6: Process chosen sprite
- [ ] Phase 7: Save and update plan

Phase 0: Verify Prerequisites

Before doing any work, verify the environment is ready. Handle what you can; only ask the user for things you can't resolve yourself.

1. Check API key — check all three sources:

   python -c "
   import os
   from pathlib import Path
   key = os.environ.get('OPENAI_API_KEY', '')
   if not key:
       env = Path('.env')
       if env.exists():
           for line in env.read_text().splitlines():
               if line.strip().startswith('OPENAI_API_KEY'):
                   key = line.partition('=')[2].strip().strip('\"').strip(\"'\")
   print('OK' if key else 'MISSING')
   "
   

   • If MISSING: ask the user to add OPENAI_API_KEY=their-key to a .env file in the project root, or export it as an environment variable
   • Do NOT proceed past this phase without a valid key

2. Install Python dependencies (do this yourself, don't ask the user): pip install -r <skill-dir>/scripts/requirements.txt

Only the API key requires user action. Everything else you should handle yourself.

Phase 1: Determine Sprite Requirements

Identify what to create and look up its parameters.

1. Determine the entity type: item, enemy, decoration, structure, UI icon, player, pet, animal, boss, terrain tile
2. Read references/sprite-sizes.md for common size examples, generation size, and crop mode — use these as a starting point and adjust based on the specific entity
3. Record these values:
   • target_width and target_height (e.g., 32x32)
   • generation_size (1024x1024 default)
   • crop_mode (bottom-anchor, center, or none)
4. Identify the destination path in the project for the final sprite
5. Identify 1-3 existing sprites that could serve as style references

Phase 2: Prepare Reference Images

Existing sprites are tiny and must be upscaled for the AI model to interpret them. Reference images are passed directly to the API via --reference flags for style matching.

For each reference sprite, run:

python scripts/upscale_reference.py --input path/to/sprite.png --output temp/sprite_upscaled.png

The script auto-calculates the best integer multiplier to reach 500-1024px using nearest-neighbor interpolation (preserves pixel crispness).

If no reference sprites exist (first sprite in the project), skip this phase. The prompt alone will define the style.

Phase 3: Construct Prompt

Read references/prompt-guide.md for the base template, style keywords, and per-type examples.

Every prompt must specify:

• Pixel-art style with era/palette keywords (derived from reference analysis in Phase 2)
• Target fake-pixel dimensions ("a 32x32 pixel art sprite")
• Transparent background (gpt-image-1.5 supports this natively)
• ONE sprite only, centered in frame
• No border, no shadow, no text, no grid
• Subject description
• Anchoring: "touching the bottom of the image" for entities, "centered" for items
• "Match the style of the provided reference images" when references are included

Phase 4: Generate and Validate (Max 3 Attempts)

You get at most 3 generation attempts per sprite. Each attempt produces 4 candidates. Never delete candidates from previous attempts — you will pick the best sprite across ALL attempts at the end.

The --name flag sets the base filename. Use a short, descriptive slug for the sprite (e.g. slime, health_potion, oak_tree). Use a versioned suffix to prevent overwrites across attempts: slime_v1, slime_v2, slime_v3.

Attempt 1 — Initial Generation

Generate with the prompt from Phase 3. The script always requests a transparent background natively, whether or not reference images are provided.

python scripts/generate_sprite.py \
  --prompt "A 32x32 pixel art ..." \
  --output-dir ./sprites-wip \
  --reference temp/ref1_upscaled.png \
  --reference temp/ref2_upscaled.png \
  --count 4 \
  --name slime_v1

Outputs: slime_v1_001.png through slime_v1_004.png.

Validate (run on every attempt):

1. Programmatic check — run on each candidate:

   python scripts/check_transparency.py --input ./sprites-wip/slime_v1_001.png
   

   Output format:

   FILE: slime_v1_001.png
   FORMAT: PNG
   ALPHA_CHANNEL: yes
   TRANSPARENT_PIXELS: 45.2%
   CHECKERBOARD_DETECTED: no
   RESULT: PASS
   

   • PASS: At least 10% transparent pixels, no checkerboard pattern
   • FAIL: No alpha channel, 0% transparency, checkerboard detected, or not PNG

2. Visual inspection — use the Read tool to view each passing candidate alongside the reference images from Phase 3. Compare against the references — don't judge in isolation. A sprite can look fine on its own but still miss the intended style, proportions, or details from the references. Check: matches references? Single sprite? Correct orientation? Right proportions? Matches game style?

If any candidate passes both checks → skip to Pick the Best below.

Attempts 2 and 3 — Diagnose Then Fix

Before each retry, diagnose the failure type from previous attempts. The fix depends on the problem:

Background problems (use prompt refinement, then chromakey)

Symptoms: colored background instead of transparency, checkerboard pattern, unwanted scenery (grass, forest, inventory frame, etc.)

• Attempt 2: Strengthen transparency language in prompt: "isolated sprite on transparent background, no checkerboard pattern, actual PNG transparency, no scenery, no environment"
• Attempt 3 (if background problems persist): Switch to chromakey fallback:
  • Pick a safe background color not present in the subject (see references/troubleshooting.md)
  • Add to prompt: "solid flat [COLOR] background, no gradients, no patterns, no shadows"
  • After generation, process with: process_sprite.py remove-bg --chroma-color HEXCODE

Subject problems (use prompt refinement only — NOT chromakey)

Symptoms: wrong proportions, wrong style, multiple sprites, missing details, wrong pose/orientation — but transparency is fine.

• Attempts 2 and 3: Refine the prompt and/or adjust style keywords. See references/troubleshooting.md. Chromakey does not help here — the problem is the subject, not the background. Keep iterating on prompt wording and style descriptions.

Mixed problems (both background and subject issues)

• Prioritize fixing the subject first (prompt refinement), since chromakey can always fix the background later
• If subject looks good by Attempt 2 but background is still wrong, use chromakey for Attempt 3

python scripts/generate_sprite.py \
  --prompt "Refined prompt ..." \
  --output-dir ./sprites-wip \
  --count 4 \
  --name slime_v2   # then slime_v3 for attempt 3

Validate the same way after each attempt.

Pick the Best (across ALL attempts)

After completing your attempts, review all candidates from every attempt — not just the latest batch. A sprite from Attempt 1 may be better than one from Attempt 3.

Use the Read tool to compare the top candidates side-by-side and against the original reference images — select the one that best matches the intended style and details from the references.

If All 3 Attempts Fail

Create a manual creation task in the implementation plan and move on. Don't block progress on one asset. Save the best attempt as a reference for future manual work.

Phase 6: Process Chosen Sprite

Run the full pipeline on the selected candidate:

python scripts/process_sprite.py pipeline \
  --input ./sprites-wip/slime_002.png \
  --output ./sprites/slime.png \
  --target-width 32 --target-height 32 \
  --crop-mode bottom-anchor

If chromakey was used, add --chroma-color HEXCODE --tolerance 45.

Pipeline steps (can also run individually):

1. Remove background (if chromakey): remove-bg --chroma-color HEXCODE
2. Downscale: nearest-neighbor from generation size to target dimensions
3. Crop per crop mode: bottom-anchor trims sides/top; center and none leave canvas as-is

Post-chromakey re-check: The pipeline automatically detects leftover chroma fringe pixels after background removal. If fringe is detected (>5% of edge pixels match the chroma color), it re-runs removal with tolerance +15 and checks again. Watch the pipeline output for DETECTED/CLEAN/WARNING messages.

After the pipeline completes, run check_transparency.py on the output with --chroma-color HEXCODE to verify:

python scripts/check_transparency.py --input OUTPUT.png --chroma-color HEXCODE

If it fails or the visual check shows artifacts, still use the sprite but add a task to the implementation plan noting the sprite needs manual background cleanup by the user.

Read the final sprite alongside the reference images to verify: matches references, correct dimensions, clean transparency, pixel-art preserved, appropriate crop.

Phase 7: Save and Update Plan

1. Move the final sprite to the correct project folder
2. Clean up temporary upscaled references (temp/)
3. Keep all candidates in sprites-wip/ — do NOT delete any, from ANY attempt. The versioned filenames (slime_v1_001.png, slime_v2_003.png, etc.) make it easy to revisit rejected candidates later
4. Update the implementation plan with integration tasks (add to asset registry, create entity config, etc.)

Anti-Patterns

Dependency Note

This skill requires openai and Pillow. Phase 0 handles installation automatically. This is an approved exception to the standard-library-only rule for scripts.