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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

install sn-image-imitate
# install the SenseNova-Skills pack with the skills CLI
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)

skills/sn-image-imitate/SKILL.md

MITFull file
1# sn-image-imitate
2
3Image 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).
4
5Features:
6
7- Extracts high-fidelity long caption from a reference image
8- Rewrites caption according to user requested content change while preserving style and layout
9- Enforces layout-lock constraints during caption rewrite
10- Performs post-generation layout consistency review and bounded retries
11- Returns structured process artifacts for debugging and reproducibility
12
13## Non-goals
14
15- Pure neural style transfer without content change (use dedicated style-transfer tools instead)
16- Local editing / inpainting of specific regions within the reference image
17- Processing video or animation input (only single static images are supported)
18- Batch generation from multiple reference images in one invocation
19- Guaranteeing pixel-level fidelity to the reference; the skill targets layout and style consistency, not exact reproduction
20
21## Input Specification
22
23- `reference_image` (string, required): local path or URL of the style reference image
24- `target_content` (string, required): new content user wants in the generated image
25- `output_mode` (string, default `friendly`): output mode, `friendly` or `verbose`
26- `aspect_ratio` (string, default `16:9`): output aspect ratio for generation
27- `image_size` (string, default `2k`): output image size preset
28…

Excerpt shown under the repository's MIT license.

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