This generates publication-ready infographics from text prompts through a two-tier agent system. The main agent handles parameter extraction while a worker agent runs the pipeline: evaluates your prompt quality, optionally expands it, generates images across multiple rounds with VLM review, then ranks results. You get quality-based output in friendly mode (best image only) or verbose mode (full stats and all ranked images). It pulls from the sn-image-base toolkit and supports 1-8 generation rounds with early termination when quality thresholds hit. Useful when you need actual visual summaries instead of just charts. The multilingual triggers and aspect ratio inference show it's built for production use, though the SenseNova API dependency means you'll need their keys to run it.

skills.sh installs
180
GitHub stars
6.1K
last updated
Jun 11, 2026

Install

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

Installs into .claude/skills of the current project.

Files

sn-infographic

Info graphic generation scene skill (tier 1), relying on the sn-image-generate, sn-image-recognize, and sn-text-optimize tools provided by sn-image-base (tier 0).

Features:

  • Evaluation of prompt quality (auto mode)
  • Prompt expansion (force/auto mode)
  • Multiple rounds of image generation and VLM review
  • Output the best result based on quality ranking

Input Specification

Sponsors

Details

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

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