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/imaginpro/imaginepro-claude-pluginWrote 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/commands/imaginpro/imaginepro-claude-plugin/imagine-guide)<a href="https://agentmods.dev/commands/imaginpro/imaginepro-claude-plugin/imagine-guide"><img src="https://agentmods.dev/badge/commands/imaginpro/imaginepro-claude-plugin/imagine-guide.svg" alt="Measured on agentmods" 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 | $0.02916 |
| Opus 5 | $0.00000 | $0.01458 |
| Sonnet 5 | $0.00000 | $0.00583 |
| Haiku 4.5 | $0.00000 | $0.00292 |
Grade A, and why
imagine-guide 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Get interactive guidance on using ImaginePro effectively in Claude Code.
This command provides a comprehensive learning experience for mastering AI image and video generation workflows, best practices, and prompt engineering techniques.
Usage
/imagine-guide
# Or ask specific questions:
/imagine-guide [your question]
What You'll Learn
1. Prompt Engineering Fundamentals
- How to write effective prompts for better results
- Essential keywords and descriptors
- Style specifications (photorealistic, illustration, 3D, etc.)
- Composition and layout guidance
- Quality and detail modifiers
2. Workflow Mastery
- Complete workflows for common tasks
- When to use each command and MCP tool
- Iteration strategies (generate → vary → refine → upscale)
- A/B testing approaches
- Quality optimization techniques
3. Use Case Specific Guidance
- Web Development: Hero images, backgrounds, assets
- UI/UX Design: Icons, illustrations, empty states, onboarding
- Marketing: Ads, social media, email headers, campaigns
- Video Production: Animations, transitions, reveals
4. Platform Optimization
- Dimension requirements for each platform
- Format specifications (Instagram, Facebook, web, email)
- Mobile vs. desktop considerations
- Accessibility best practices
5. Advanced Techniques
- Multi-asset campaigns
- Brand consistency across generations
- Frame compatibility for video
- Performance optimization
Example Interactions
Getting Started
User: /imagine-guide
Guide: Welcome to the ImaginePro Interactive Guide!
I can help you with:
📚 **Learn the Basics**
- Prompt engineering fundamentals
- Understanding the generation workflow
- Best practices for quality results
🎯 **Specific Use Cases**
- Web asset creation (hero images, backgrounds)
- UI/UX design (icons, illustrations)
- Marketing content (ads, social media)
- Video animation creation
🔧 **Tools & Commands**
- When to use /imagine-pro vs /vary-it
- Upscaling strategies
- Video workflow optimization
❓ **Common Questions**
- "How do I create a hero image for my landing page?"
- "What's the best workflow for making consistent icons?"
- "How can I generate better marketing ads?"
- "Tips for smooth video transitions?"
What would you like to learn about?
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.
- 7d ago First seen · 439 lines · 0 tokens per session scan A 3866deafd03b
imagine-guide is a command published in the GitHub repository imaginpro/imaginepro-claude-plugin (5 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,916 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 2026-08-31.
Other commands, from other repositories
make-reel
Generate a cinematic vertical reel via the Poppify MCP — photo-led or topic-led. Uses the poppify-build-reel skill for the canonical flow.
verify-render
Download a rendered Poppify reel, run ffprobe + frame extract, surface a verdict on whether the render matches what was requested.
troubleshoot
Diagnose a Poppify reel that came out wrong. Walks the symptom → root cause → action decision tree.
imagegen
Generate an image (or a coherent set of images) from a prompt — /imagegen " ". Or run /imagegen setup to verify the install. Routes through the imagegen MCP server (Codex CLI / gpt-image).
edit
Edit an existing image at a given path with a natural-language instruction. Routes through Codex CLI's gpt-image edit tool.
img
Alias of /imagegen. Generate an image from a prompt and save it under the workspace's standard image directory.