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mcp/skillhub

Agent Skill

Gpt Image skill

gpt-imagewuyoscar/GPT-Image2-Skillskills/gpt-image/SKILL.md

Generate or edit images with GPT Image 2 or 2.5 through the packaged CLI and Reference Gallery. Use for image requests including imprecise 'GPT 2.5' model names, posters, typography, reference edits, and inpainting; resolve the model choice before generation.

5.8kMIT

always on

62 tokname + description

once used

2,380 tokSKILL.md body

bundled files

431 scripts

repo stars

5.8kGitHub

Install the Gpt Image skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/wuyoscar/GPT-Image2-Skill --skill gpt-image

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/wuyoscar/GPT-Image2-Skill.git /tmp/GPT-Image2-Skill
mkdir -p ~/.claude/skills
cp -R /tmp/GPT-Image2-Skill/skills/gpt-image ~/.claude/skills/gpt-image

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description62 tok
When the agent uses itThe SKILL.md instructions2,380 tok
Only if opened43 bundled files (302 KB)varies

Until it is used, gpt-image costs about 22× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 2 skills from wuyoscar/GPT-Image2-Skill would load 145 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • gpt-image
  • Operating loop
  • Model choice and prompt adaptation
  • CLI resolution
  • Key and cost rules
  • Flags
  • Endpoint routing
  • Reference loading
  • Verification

More skills from wuyoscar/GPT-Image2-Skill

All skills in this repo
  1. get-prompt-from-imagewuyoscar/GPT-Image2-Skill

    Analyze user-provided reference images and reverse-engineer high-fidelity AI image-generation prompts. Use when the user asks to recreate, imitate, reverse-engineer, or extract prompts from photographs, illustrations, 3D renders, products, characters, landscapes, typography, logos, posters, or other visual references. Do not use for requests that only require OCR or an ordinary image description.

    5.8k83 tok idle · 1,373 in use