Skills for Real Engineers. Straight from my .agents directory.
sn-image-imitate
Agent skill fromOpenSenseNova/SenseNova-Skills
Generates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "保持这个风格重画", "按这张图风格生成", or "style transfer with new content".
How to install sn-image-imitate
npx skills add OpenSenseNova/SenseNova-Skills# or add only this skill to Claude Code: copy the folder
skills/sn-image-imitate/
# into
~/.claude/skills/sn-image-imitate/ (all projects)
.claude/skills/sn-image-imitate/ (one project)
1# sn-image-imitate23Image style imitation scene skill (tier 1), relying on the `sn-image-recognize`, `sn-text-optimize`, and `sn-image-generate` tools provided by `sn-image-base` (tier 0).45Features:67- Extracts high-fidelity long caption from a reference image8- Rewrites caption according to user requested content change while preserving style and layout9- Enforces layout-lock constraints during caption rewrite10- Performs post-generation layout consistency review and bounded retries11- Returns structured process artifacts for debugging and reproducibility1213## Non-goals1415- Pure neural style transfer without content change (use dedicated style-transfer tools instead)16- Local editing / inpainting of specific regions within the reference image17- Processing video or animation input (only single static images are supported)18- Batch generation from multiple reference images in one invocation19- Guaranteeing pixel-level fidelity to the reference; the skill targets layout and style consistency, not exact reproduction2021## Input Specification2223- `reference_image` (string, required): local path or URL of the style reference image24- `target_content` (string, required): new content user wants in the generated image25- `output_mode` (string, default `friendly`): output mode, `friendly` or `verbose`26- `aspect_ratio` (string, default `16:9`): output aspect ratio for generation27- `image_size` (string, default `2k`): output image size preset28…
Excerpt shown under the repository's MIT license.
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