AI Prompts & Skills

The Ultimate Foundation for AI-Powered Creativity

A curated collection of expertly crafted prompts and agent skills for every AI use case

---

Why This Repository?

In the rapidly evolving world of AI, the right prompt can unlock extraordinary results. This repository serves as your definitive resource for:

• High-quality prompts tested across multiple AI platforms
• Agent Skills following the Agent Skills specification and discoverable via skills.sh
• Best practices distilled from real-world usage
• Foundation patterns applicable to any AI use case

Whether you're generating stunning visuals, crafting compelling videos, synthesizing audio, or building intelligent agents — this is your toolkit.

---

What's Inside

Image Generation Prompts optimized for: Nano Banana 2 - Fast, high-fidelity image generation DALL-E 3 - Photorealistic & artistic outputs Midjourney - Stylized creative imagery Stable Diffusion - Fine-tuned control prompts/images/	Video Creation Master prompts for: Veo - Google's video AI Runway Gen-3 - Cinematic sequences Pika Labs - Dynamic motion Sora - Long-form narratives prompts/videos/
Audio & Voice Prompts for: Music generation - Original compositions Voice synthesis - Natural speech patterns Sound effects - Immersive audio design Podcast content - Engaging scripts prompts/audio/	Text & Content Expert prompts for: Creative writing - Stories, poetry, scripts Technical documentation - Clear, concise guides Marketing copy - Conversion-focused content Research synthesis - Academic excellence prompts/text/

---

Agentic Skills

Skills in this repository follow the Agent Skills Specification — an open format for giving AI agents new capabilities and expertise. Skills are discoverable and installable via the skills.sh registry.

What are Agent Skills?

Agent Skills are folders containing instructions, scripts, and resources that agents can discover and use to perform tasks more accurately and efficiently. Each skill is a self-contained directory with a SKILL.md file.

Available Skills

Skill	Description
code-review	Structured code review process with actionable feedback
debug-and-fix	Systematic debugging and root-cause analysis
design-to-tasks	Break a design (or PRD) into actionable engineering tasks
idea-to-prd	Create a Product Requirements Document from a feature idea
next-step	Report plan status and route to the right skill
performance-review	Measurement-driven whole-system performance sweep
plan-retrospective	Reflect on completed work and capture learnings
prd-to-design	Turn a PRD into a technical design and ADRs
refactor	Restructure code safely without changing behavior
release-checklist	Pre-release verification and deployment checklist
security-review	Lightweight threat model and security posture sweep
tasks-to-code	Implement engineering tasks from a task list
ui-design-audit	Audit UI components for design consistency

See the Skills README for complete documentation, recommended order of operations, and workflow details.

Skill Directory Structure

Each skill lives in its own directory inside skills/:

skills/
└── skill-name/
    ├── SKILL.md           # Required: main instructions + frontmatter
    ├── scripts/           # Optional: executable helper scripts
    ├── references/        # Optional: additional documentation
    └── assets/            # Optional: static resources

SKILL.md Format

Every SKILL.md must include YAML frontmatter with at minimum name and description:

---
name: skill-name
description: >
  What this skill does and when to use it. Include specific keywords
  that help agents identify when the skill is relevant.
license: MIT
metadata:
  author: pokanop
  version: "1.0"
---

# Skill Instructions

Detailed instructions and guidance for the agent...

Frontmatter Fields

Field	Required	Description
name	✅ Yes	Lowercase alphanumeric + hyphens only. Must match the directory name.
description	✅ Yes	What the skill does and when to use it (1–1024 chars).
license	No	License name or reference (e.g. MIT, Apache-2.0).
compatibility	No	Environment requirements, target agent products, or required tools.
metadata	No	A map of arbitrary string keys/values (e.g. author, version).
allowed-tools	No	List of tools the skill is permitted to use.

name rules: 1–64 characters, lowercase a-z and - only, must not start or end with -, no consecutive --. Must match the parent directory name exactly.

Adding a Skill

1. Create a directory in skills/ using lowercase letters and hyphens (e.g. skills/my-skill/)
2. Add a SKILL.md with valid frontmatter and instructions
3. Optionally include scripts/, references/, or assets/ subdirectories

Install any skill from this repo via the CLI:

bunx skills add pokanop/ai

Supported by: Claude Code, Cursor, Windsurf, OpenCode, GitHub Copilot, OpenHands, and more.

See the Agent Skills Specification for the complete format reference.

---

Repository Structure

ai/
├── assets/                 # SVGs, images, and visual resources
│   ├── logo.svg
│   ├── hero-banner.svg
│   ├── features-icons.svg
│   ├── icon-video.svg
│   ├── icon-audio.svg
│   ├── icon-agents.svg
│   └── icon-code.svg
├── prompts/
│   ├── images/            # Image generation prompts
│   ├── videos/            # Video creation prompts
│   ├── audio/             # Audio generation prompts
│   └── text/              # Text & content prompts
├── skills/                # Agent Skills (agentskills.io format)
│   ├── code-review/
│   ├── debug-and-fix/
│   ├── design-to-tasks/
│   ├── idea-to-prd/
│   ├── plan-retrospective/
│   ├── prd-to-design/
│   ├── release-checklist/
│   ├── tasks-to-code/
│   └── ui-design-audit/
└── README.md

---

Quick Start

Using Prompts

# Clone the repository
git clone https://github.com/pokanop/ai.git

# Navigate to your use case
cd ai/prompts/images

Installing Skills

Install all skills in this repository directly into your project:

bunx skills add pokanop/ai

Or browse and install individual skills from the skills.sh leaderboard.

---

The Possibilities

This repository is designed to be the foundation for all AI use cases:

For Creators

• Generate consistent brand imagery
• Create video content at scale
• Produce original music and soundtracks
• Write engaging content effortlessly

For Developers

• Build intelligent agents with specialized skills
• Automate repetitive coding tasks
• Create AI-powered workflows
• Integrate prompts into applications

For Businesses

• Standardize AI interactions across teams
• Maintain brand voice consistency
• Scale content production
• Reduce AI iteration time

For Researchers

• Study prompt engineering patterns
• Benchmark AI model performance
• Contribute to collective knowledge
• Share reproducible experiments

---

Prompt Engineering Best Practices

Structure of a Great Prompt

[CONTEXT] - Who/what is involved
[TASK] - What needs to be done
[CONSTRAINTS] - Limitations and requirements
[STYLE] - Tone, format, aesthetic
[EXAMPLES] - Reference outputs (optional)

Tips by Category

Category	Key Tips
Images	Be specific about style, lighting, composition
Videos	Describe motion, transitions, timing
Audio	Specify mood, tempo, instruments
Text	Define audience, tone, length
Agents	Set clear goals, constraints, success criteria

---

Contributing

We welcome contributions! Here's how to help:

1. Add prompts - Share your best-performing prompts
2. Create skills - Build reusable agent capabilities following the specification
3. Improve docs - Enhance explanations and examples
4. Report issues - Found something that doesn't work? Let us know

See CONTRIBUTING.md for detailed guidelines.

---

Roadmap

• Interactive prompt playground
• Prompt effectiveness ratings
• Multi-language support
• AI model compatibility matrix
• Community prompt sharing
• Video tutorials

---

License

This project is licensed under the MIT License - see the LICENSE file for details.

---

Connect & Contribute

Made with care for the AI community

Star this repo if you find it useful!

Report Bug · Request Feature · Join Discussion

Building the future of AI, one prompt at a time