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Sn Image Base

opensensenova/sensenova-skills

This is infrastructure, not a user-facing tool. It's the tier-0 foundation for the SenseNova-Skills project, exposing three raw API wrappers: text-to-image generation, VLM-based image recognition, and LLM text optimization. No preprocessing, no guardrails, just direct calls to backend services. You'd use this if you're building higher-level skills that need clean separation between orchestration logic and API plumbing. The parameter design is thoughtful, with three-level fallbacks for auth and endpoints, plus support for both OpenAI and Anthropic protocol styles. It's deliberately bare-bones, which is exactly what a base layer should be, but that also means you'll need to wrap it with something smarter before exposing it to end users.

skills.sh installs
190
GitHub stars
6.1K
last updated
Jun 11, 2026
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Install

$ npx -y skills add opensensenova/sensenova-skills --skill sn-image-base --agent claude-code

Installs into .claude/skills of the current project.

Files

sn-image-base

Dependency Installation

pip install -r requirements.txt

Overview

sn-image-base is the base-layer skill (tier 0) of the SenseNova-Skills project and provides four low-level tools:

  • sn-image-generate: image generation (calls text-to-image-no-enhance API)
  • sn-image-edit: image editing with SenseNova U1.5 Lite (calls /images/edits)
  • sn-image-recognize: image recognition (uses VLM to analyze image content)
  • sn-text-optimize: text optimization (uses LLM to process text)

This skill does not perform any input preprocessing and only calls backend services to return results.

Tools List

sn-image-generate

Image generation tool that calls the text-to-image-no-enhance API.

--prompt is required; all other parameters are optional:

SKILL.md on GitHub

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Details

Repository
github.com/opensensenova/sensenova-skills
License
MIT
First seen
Jun 11, 2026

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