Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ohh-889/skyroc/banner-designnpx skills add Ohh-889/skyroc --skill banner-designgit clone --depth 1 https://github.com/Ohh-889/skyrocWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00118 | $0.02196 |
| Opus 5 | $0.00059 | $0.01098 |
| Sonnet 5 | $0.00024 | $0.00439 |
| Haiku 4.5 | $0.00012 | $0.00220 |
Grade A, and why
banner-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to banner-design — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Banner Design - Multi-Format Creative Banner System
Design banners across social, ads, web, and print formats. Generates multiple art direction options per request with AI-powered visual elements. This skill handles banner design only. Does NOT handle video editing, full website design, or print production.
When to Activate
- User requests banner, cover, or header design
- Social media cover/header creation
- Ad banner or display ad design
- Website hero section visual design
- Event/print banner design
- Creative asset generation for campaigns
Prerequisites
Python: This skill uses Python scripts. On Windows, use python instead of python3 (e.g., python scripts/search.py instead of python3 scripts/search.py).
Workflow
Step 1: Gather Requirements (AskUserQuestion)
Collect via AskUserQuestion:
- Purpose — social cover, ad banner, website hero, print, or creative asset?
- Platform/size — which platform or custom dimensions?
- Content — headline, subtext, CTA, logo placement?
- Brand — existing brand guidelines? (check
docs/brand-guidelines.md) - Style preference — any art direction? (show style options if unsure)
- Quantity — how many options to generate? (default: 3)
Step 2: Research & Art Direction
- Activate
ui-ux-pro-maxskill for design intelligence - Use Chrome browser to research Pinterest for design references:
Navigate to pinterest.com → search "[purpose] banner design [style]" Screenshot 3-5 reference pins for art direction inspiration - Select 2-3 complementary art direction styles from references:
references/banner-sizes-and-styles.md
Step 3: Design & Generate Options
For each art direction option:
- Create HTML/CSS banner using
frontend-designskill- Use exact platform dimensions from size reference
- Apply safe zone rules (critical content in central 70-80%)
- Max 2 typefaces, single CTA, 4.5:1 contrast ratio
- Inject brand context via
inject-brand-context.cjs
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 197 lines · 118 tokens per session scan A 913d9c4b2a3b
banner-design is a skill published in the GitHub repository Ohh-889/skyroc (787 stars, last pushed yesterday), licensed MIT. It adds 118 tokens to every session and 2,196 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to banner-design, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
antd
Use when the user's task involves Ant Design (antd) — writing antd components, debugging antd issues, querying antd APIs/props/tokens/demos, migrating between antd versions, or analyzing antd usage in a project. Triggers on antd-related code, imports from 'antd', or explicit antd questions.
pro-upgrade
Use when the user wants to upgrade their Ant Design Pro project to the latest version. Triggers on: upgrade pro, pro upgrade, migrate pro, update pro, 升级, 迁移项目, "how to upgrade", "update to latest", "keep project up to date".
demo-create
基于项目中 .vscode/south.code-snippets 定义的 CRUD 模板，快速生成后台管理系统的标准 CRUD 页面代码。该技能根据用户提供的业务模块信息（如模块名称、API路径、字段配置等），自动生成完整的页面文件（Page）、数据模型文件（Model）和 API 接口文件（Api），支持分页列表页面（demoPage）、独立操作页面（demoOptionPage）两种页面模式。.
init-project
初始化整个项目，清除模板自带的示例内容（src/pages/demo、src/pages/content、src/components/Github、src/servers/content、menus/demo 及相关 i18n），并连带删除代码中的 import 与引用。执行时会先以 dry-run 预览将要删除的文件和将要修改的引用，经用户确认后再真正执行。.
admin-console-blueprint
Use when you need to design, scaffold, refactor, or document a medium-sized admin console built as an independent Vite/React SPA backed by modular Go admin APIs, Cookie session auth, and CLI-provisioned administrator accounts. Helpful for tasks like planning a new admin console, extracting reusable architecture from…
react_patterns_hooks
Curated Knowledge API for AI Agents — 68 MCP tools, 200+ skill packs, 46K chunks, semantic search over 670K vectors, 5-layer validation pipeline. Works with Claude Code, Cursor, Cline, Windsurf.