Description
Plan a pixel-art design, generate a candidate image with a configured image service, review the result, extract grid cells, map colors to the included MARD palette, and export printable patterns with bead color codes and quantities. The package contains the original skill instructions, Python scripts, palette, and assets.
Usage and examples
- Agree on the image, style, grid size and palette constraints.
- Generate and review a candidate pixel image.
- Extract and quantize grid colors, then render the pattern and bill of materials.
Requirements and limitations
- Python 3 with OpenAI, OpenCV, NumPy <2, SciPy, scikit-image, pandas and Pillow.
- A compatible image-generation service and your own credentials for generation steps.
- Image services and their usage fees are not included.
- Generated grid dimensions may differ from the requested size and require user review.
- API credentials must be configured by the user; never distribute credentials with generated artifacts.
Onchain Identity
Public Metadata
The publisher has not published this metadata publicly.
v1 · Original source from FinchipAIOrg/pindou-skill, commit 7289b8b2e2016b286169b269afd7bbd43967b828. Free source release; no HTML documents uploaded.
Files
File verification detailsFor audits and support
Opaque identifiers and fingerprints are hidden from the primary experience but remain available for exact verification.
- Markdown hash
0x679df82c0107ca8f3628cb703dc93d1d01aebb8b4e894d26ca8533cc17264b8b- Package hash
0x6eb2dd8ac4a363e35f06b6b08cbfdf3a04408cc0d253b04eef4ec918659a5f0b