test-skill-temp_skill

This skill helps you generate many images from prompts and curate the best results to showcase top visuals.
  • Python

2.5k

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill test-skill-temp

  • _meta.json282 B
  • metadata.json473 B
  • SKILL.md903 B

Overview

This skill helps you generate large batches of text-to-image outputs and then curate the results to select the best images. It streamlines the generate-and-curate workflow so you can iterate quickly and collect high-quality visuals. The focus is on producing many variants, evaluating them, and handpicking the strongest outcomes.

How this skill works

You provide a core prompt or a set of prompts and the skill runs multiple image generations across variations (seeds, styles, model parameters). It aggregates the outputs and presents them for review, optionally ranking or tagging images by attributes. You then curate by selecting, annotating, and exporting the chosen images for use.

When to use it

  • When you need a portfolio of diverse image options from a single concept.
  • When exploring different styles, compositions, or color schemes for a project.
  • When prototyping visual concepts and you want to handpick the best candidates.
  • When creating series-based content where consistency and variety both matter.
  • When preparing final imagery for presentations, social media, or prints.

Best practices

  • Start with a clear base prompt, then incrementally vary one parameter at a time (style, camera, seed).
  • Generate dozens of variants per prompt to increase the chance of standout outputs.
  • Use consistent naming and metadata to track which prompt settings produced each image.
  • Apply quick automated filters (e.g., aspect ratio, face quality) before manual curation to save time.
  • Document why you selected each final image to inform future prompt refinements.

Example use cases

  • A designer creates 50 poster concepts from one headline and picks the top ten for client review.
  • An illustrator explores multiple lighting and mood variations for a character design series.
  • A marketer generates dozens of social visuals and curates the best-performing styles for campaigns.
  • An artist iterates on concept art, collecting the strongest images for a gallery submission.
  • A content creator produces a themed image series, handpicks the most cohesive set, and exports them for a feed schedule.

FAQ

Aim for at least 20–50 variants to ensure meaningful diversity; adjust up or down based on time and compute budget.

Can I automate part of the curation?

Yes. Use simple filters or model-based quality scorers to pre-sort results, then perform final manual selection for artistic judgment.

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