agentleFS
hmjBillhmjBill/skills/banner-design/SKILL.md

banner-design

Skill0 starsChanged 14 days agoNo licenceView on GitHub

为社交媒体、广告、网站主视觉、创意素材和印刷品设计横幅。支持多种艺术方向和 AI 生成视觉内容。

46 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use stop-slop, design-taste-frontend and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • hardikpandyaSkill

    stop-slop

    Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

    Also in 4 projects that use this

  • AnasX7Skill

    design-taste-frontend

    Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

    Also in 6 projects that use this

  • OpenAISkill

    image-to-code

    Implement a selected image, screenshot, mockup, or Image Gen reference as a faithful, responsive frontend.

    Also in 3 projects that use this

  • PostHogSkill

    karpathy-guidelines

    Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. Based on https://github.com/multica-ai/andrej-karpathy-skills.

    Also in 4 projects that use this

  • VercelSkill

    emil-design-eng

    This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

    Also in 3 projects that use this

  • CloudflareSkill

    receiving-code-review

    Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

    Also in 4 projects that use this

The file

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.