agentleFS
Rayan55050Rayan55050/progressive-agent/skills/image_gen/SKILL.md

image_gen

Skill2 starsChanged 9 months agoMITView on GitHub

Генерация изображений через DALL-E 3

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If user gives a vague request, ask for clarification or enhance the prompt yourself

    line 33
  2. Distinctive:

    After generation, briefly describe what was created

    line 34

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Image Generation Skill

Tool: image_gen

Generates images using DALL-E 3. Image is automatically sent as a file after generation.

Parameters

  • prompt (required) — description of the image. English prompts produce better results with DALL-E.
  • size (optional) — 1024x1024 (default), 1792x1024 (landscape), 1024x1792 (portrait)
  • quality (optional) — standard (default) or hd (costs more, better detail)

Rules

  1. Translate user's description to English for better DALL-E results, but keep your text response in user's language
  2. Be creative with the prompt — add details, style, lighting, mood
  3. If user gives a vague request, ask for clarification or enhance the prompt yourself
  4. After generation, briefly describe what was created
  5. One image per request (DALL-E 3 limitation)
  6. The image is sent automatically — do NOT call file_send separately

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.