How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does gpt-image-1-5 support?

gpt-image-1-5 works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is gpt-image-1-5 free to use?

Yes. gpt-image-1-5 is free to install and use. It is available from the open explainx.ai skill registry published by intellectronica.

Where can I read ratings and reviews for gpt-image-1-5?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install gpt-image-1-5?

Run `npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5` in your terminal. You need to have run `npx skills init` once in your project first.

AI/ML

gpt-image-1-5▌

intellectronica/agent-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5

0 commentsdiscussion

summary

Generate new images or edit existing ones using OpenAI's GPT Image 1.5 model.

skill.md

GPT Image 1.5 - Image Generation & Editing

Generate new images or edit existing ones using OpenAI's GPT Image 1.5 model.

Generation: Uses the Responses API with image_generation tool
Editing: Uses the Image API for reliable mask-based inpainting

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate new image:

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--quality low|medium|high] [--size 1024x1024|1024x1536|1536x1024|auto] [--background transparent|opaque|auto] [--api-key KEY]

Edit existing image (without mask - full image edit):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]

Edit existing image (with mask - precise inpainting):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "what to put in masked area" --filename "output-name.png" --input-image "path/to/input.png" --mask "path/to/mask.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Parameters

Quality Options

low - Fastest generation, lower quality
medium (default) - Balanced quality and speed
high - Best quality, slower generation

Map user requests:

No mention of quality -> medium
"quick", "fast", "draft" -> low
"high quality", "best", "detailed", "high-res" -> high

Size Options

1024x1024 (default) - Square format
1024x1536 - Portrait format
1536x1024 - Landscape format
auto - Let the model decide based on prompt

Map user requests:

No mention of size -> 1024x1024
"square" -> 1024x1024
"portrait", "vertical", "tall" -> 1024x1536
"landscape", "horizontal", "wide" -> 1536x1024

Background Options (generation only)

auto (default) - Model decides
transparent - Transparent background (PNG/WebP output)
opaque - Solid background

API Key

The script checks for API key in this order:

--api-key argument (use if user provided key in chat)
OPENAI_API_KEY environment variable

If neither is available, the script exits with an error message.

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
Name: Descriptive lowercase text with hyphens
Keep the descriptive part concise (1-5 words typically)
Use context from user's prompt or conversation
If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

Prompt "A serene Japanese garden" -> 2025-12-17-14-23-05-japanese-garden.png
Prompt "sunset over mountains" -> 2025-12-17-15-30-12-sunset-mountains.png
Prompt "create an image of a robot" -> 2025-12-17-16-45-33-robot.png
Unclear context -> 2025-12-17-17-12-48-x9k2.png

Image Editing

Both editing modes use the Image API (images.edit endpoint) with gpt-image-1.5 for reliable results.

Without Mask (Full Image Edit)

When the user wants to modify an existing image without specifying exact regions:

Use --input-image parameter with the path to the image
The prompt should contain editing instructions (e.g., "make the sky more dramatic", "change to cartoon style")
A fully transparent mask is auto-generated, allowing the model to edit the entire image

With Mask (Precise Inpainting)

When the user wants to edit specific regions:

Use --input-image parameter with the path to the image
Use --mask parameter with a PNG mask file
The mask should have transparent areas (alpha=0) where edits should occur
The prompt describes what should appear in the masked region

Common editing tasks: add/remove elements, change style, adjust colors, replace backgrounds, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Output

Saves PNG to current directory (or specified path if filename includes directory)
Script outputs the full path to the generated image
Do not read the image back - just inform the user of the saved path

Examples

Generate new image:

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-12-17-14-23-05-japanese-garden.png" --quality high --size 1536x1024

Generate with transparent background:

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A cute cartoon cat mascot" --filename "2025-12-17-14-25-30-cat-mascot.png" --background transparent --quality high

Edit existing image (full image):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-12-17-14-27-00-dramatic-sky.png" --input-image "original-photo.jpg"

Edit with mask (inpainting):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "a flamingo swimming" --filename "2025-12-17-14-30-00-lounge-flamingo.png" --input-image "lounge.png" --mask "mask.png"

how to use gpt-image-1-5

How to use gpt-image-1-5 on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add gpt-image-1-5

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/intellectronica/agent-skills --skill gpt-image-1-5

The skills CLI fetches gpt-image-1-5 from GitHub repository intellectronica/agent-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gpt-image-1-5

Reload or restart Cursor to activate gpt-image-1-5. Access the skill through slash commands (e.g., /gpt-image-1-5) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

1.Install skill using provided installation command
2.Test with simple use case relevant to your work
3.Evaluate output quality and relevance
4.Iterate on prompts to improve results
5.Integrate into regular workflow if valuable

Common Pitfalls

⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns

✗ Don't

−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment

💡 Pro Tips

★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.6★★★★★26 reviews

★★★★★Ganesh Mohane· Dec 24, 2024
gpt-image-1-5 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Arjun Gill· Dec 8, 2024
I recommend gpt-image-1-5 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Arjun Perez· Nov 27, 2024
gpt-image-1-5 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Sakshi Patil· Nov 15, 2024
Keeps context tight: gpt-image-1-5 is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Arjun Mensah· Nov 7, 2024
We added gpt-image-1-5 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Olivia Agarwal· Oct 26, 2024
Solid pick for teams standardizing on skills: gpt-image-1-5 is focused, and the summary matches what you get after install.
★★★★★Anika Lopez· Oct 18, 2024
Registry listing for gpt-image-1-5 matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Chaitanya Patil· Oct 6, 2024
gpt-image-1-5 has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Piyush G· Sep 13, 2024
Solid pick for teams standardizing on skills: gpt-image-1-5 is focused, and the summary matches what you get after install.
★★★★★Emma Thompson· Sep 13, 2024
I recommend gpt-image-1-5 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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