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Image Generation Pro

Verified SecureFeatured

Created by OpenAI Codex Team•design Workflow

Generate and edit raster images, website assets, UI mockups, and transparent PNGs.

Supported Runtimes:codexclaude-codecursorwindsurf
Universal 1-Click Installer
npx askills install imagegen
Installs automatically to ~/.agents/skills or ~/.codex/skills
•Raw Endpoint

Overview & Problem Solved

When modern frontier LLMs (like Claude 3.7, GPT-4o, or deep reasoning agents) execute complex domain tasks without standard operating procedures, they frequently suffer from context drift, incorrect CLI arguments, or non-standard file hierarchies. Image Generation Pro eliminates probabilistic guessing by supplying the Agent with an authoritative, sandboxed execution specification.

By packaging verified workflows into a structured SKILL.md manifest, this skill establishes deterministic boundaries, verifies dependencies, and executes tasks using proven engineering conventions.

Core Capabilities & Guarantees

Deterministic SOP Enforcement

Follows pre-tested instructions and step-by-step algorithms, avoiding experimental or hallucinated flags.

Multi-Runtime Isolation

Runs with identical behavioral fidelity across OpenAI Codex, Claude Code, Cursor IDE, and Windsurf Cascade.

Sandbox-Scoped Boundaries

Enforces workspace-scoped file mutations and shields environment secrets against accidental prompt leakage.

Self-Healing QA Verification

Automates test verification, linter checks, and syntax validation before completing any user turn.

Agent Execution Pipeline

1

Intent Matching & Context Ingestion

The agent scans the user request against the skill's YAML frontmatter triggers and loads the verified instructions into active working memory.

2

Toolchain & Dependency Validation

The runtime verifies that necessary tools, interpreters, and environment configurations exist within the workspace sandbox before proceeding.

3

Deterministic Execution & Delivery

The agent executes the codified SOP, runs verification checks, and outputs high-fidelity deliverables without extraneous narration.

Validated Prompt Templates

(Click to copy)

“Generate a modern dark-mode SaaS dashboard hero illustration with glassmorphism cards and neon accents.”

“Create a set of 4 minimalist vector-style fintech feature icons with transparent backgrounds.”

“Generate a realistic e-commerce product mockup of a minimalist ceramic mug on a marble table.”

Automated Security & Audit Report

Score:99/100 (SAFE)
Filesystem

Workspace Scoped

Cannot escape workspace root
Shell Execution

Bundled Scripts

Runs internal verified helpers
Network Access

Outbound Enabled

HTTP queries for target resources
API Keys Required

1 Key(s)

OPENAI_API_KEY
Safe. Only writes generated image files directly into workspace public/assets folders.

Enterprise & Production Use Cases

Autonomous Development SprintsEnables coding agents to independently build features, run lint tests, and author PR descriptions that strictly conform to organizational coding rules.
Batch Automation & CI/CD PipelinesAutomates repetitive transformations such as document generation, schema migrations, or test-suite updates inside containerized CI runners.
Standardized Engineering OnboardingDistributes unified development playbooks across all engineering team members using Cursor, Codex, or Claude Code.

Frequently Asked Questions

Q: What makes Image Generation Pro different from a standard MCP server?

MCP (Model Context Protocol) provides external protocol connections to databases or APIs. In contrast, Image Generation Pro is a high-level operational skill (SKILL.md) that teaches AI Agents procedural intelligence, deterministic step-by-step SOPs, parameter constraints, and self-correction workflows.

Q: Is Image Generation Pro compatible with frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek-R1?

Yes. The skill is packaged with standard markdown instructions (SKILL.md) and YAML frontmatter, adhering to the universal agent skill standard natively supported across Codex, Claude Code, Cursor, and Windsurf.

Q: What permissions does Image Generation Pro require in agent mode?

Every listed skill undergoes automated static analysis scoring 99/100. It strictly adheres to workspace-scoped filesystem boundaries and does not execute untrusted remote code.

Q: Can our team customize or extend the rules in this SKILL.md?

Yes. Once installed in your project root (.skills/imagegen/SKILL.md or ~/.agents/skills/imagegen/), you can customize the instructions to include internal team guidelines, custom linters, or proprietary APIs.

SKILL.md Source Specification

View Raw
---
name: "imagegen"
description: "Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts."
---

# Image Generation Skill

Generates or edits images for the current project (for example website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, or infographics).

## Top-level modes and rules

This skill has two top-level modes:
- **Default built-in tool mode (preferred):** built-in image_gen tool for image generation, editing, and transparent-image requests.
- **Fallback CLI mode:** scripts/image_gen.py CLI. Use when the user explicitly asks for or confirms the CLI/API/model path. Requires OPENAI_API_KEY.

## Rules
1. Use the built-in image_gen tool by default for normal image generation and editing requests.
2. For transparent images, ask built-in image_gen for a transparent background and preserve the generated alpha.
3. Never overwrite user images without confirmation. Save new assets directly into public/ or assets/.