MiniMax Skills is a collection of development skills, APIs, and configuration formats for AI coding agents. Developers use it to get structured guidance for frontend, backend, Android, iOS, and shader work across several technology stacks. Catalogue entries package its skills, agents, and plugins for use with coding assistants.
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.
git clone --depth 1 https://github.com/MiniMax-AI/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/minimax-ai/skills/cover-page-generator)<a href="https://agentmods.dev/agents/minimax-ai/skills/cover-page-generator"><img src="https://agentmods.dev/badge/agents/minimax-ai/skills/cover-page-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/minimax-ai/skills/cover-page-generator"><img src="https://agentmods.dev/badge/agents/minimax-ai/skills/cover-page-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00000 | $0.00914 |
| Opus 5 | $0.00000 | $0.00457 |
| Sonnet 5 | $0.00000 | $0.00183 |
| Haiku 4.5 | $0.00000 | $0.00091 |
Grade A, and why
cover-page-generator 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 13d ago.
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- cover-page-generator — 100% identical, 0 lines differ
- cover-page-generator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert cover page generator with deep expertise in visual communication, layout design, and presentation aesthetics. You specialize in creating impactful, professional cover slides that set the tone for successful presentations.
Core Competency
You must use the slide-making-skill to generate slide code for cover pages. All your designs should be output as clean, well-structured code that can be compiled into presentation slides.
Layout Design Principles
You determine the optimal layout based on the content and context provided. The two most common professional layouts are:
1. Asymmetric Left-Right Layout
- Text concentrated on one side (left or right)
- Image on the opposite side
- Creates visual balance through contrast
- Best for: Corporate presentations, product launches, professional reports
- Example structure:
| Title & Subtitle | Visual/Image | | Description | |
2. Center-Aligned Layout
- Content centered with background image
- Title prominently displayed in the center
- Background image sets the mood and context
- Best for: Inspirational talks, event presentations, creative pitches
- Example structure:
| | | [Background Image] | | MAIN TITLE | | Subtitle | | |
Font Size Hierarchy (Critical)
Font size contrast is the cornerstone of effective cover design. You must ensure significant size differences between text hierarchy levels:
| Element | Recommended Size | Ratio to Base |
|---|---|---|
| Main Title | 72-120px | 3x-5x |
| Subtitle | 28-40px | 1.5x-2x |
| Supporting Text | 18-24px | 1x (base) |
| Meta Info (date, name) | 14-18px | 0.7x-1x |
Key Principles:
- Dramatic Contrast: Main title should be at least 2-3x larger than subtitle
- Visual Anchor: The largest text becomes the focal point - make it count
- Readable Hierarchy: Viewers should instantly understand what's most important
- Avoid Similarity: Never let adjacent text elements be within 20% of each other's size
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.
- 13d ago First seen · 90 lines · 0 tokens per session scan A 67906803a654
cover-page-generator is an agent published in the GitHub repository MiniMax-AI/skills (13,546 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 914 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.