reusable ai image prompt template builder
Turns structured image-prompt JSON into reusable templates with consistent variable tokens.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsreusable ai image prompt template builder
Example session with this skill installed
Convert this to a template: {"summary": "A cyberpunk cat in Tokyo", "render_prompt": "A neon-lit cyberpunk cat walking through Tokyo streets, 8k, highly detailed", "negatives": "dogs, blurry"}
- Read your context and instructions
- Compiled the reusable ai image
{
"template_variables": {
"subject": {"token": "{{subject}}", "default": "cyberpunk cat", "source_path": "summary"},
"setting": {"token": "{{setting}}", "default": "Tokyo streets", "source_path": "render_prompt"}
},
"summary": "A {{subject}} in {{setting}}",
"render_prompt": "A neon-lit {{subject}} walking through {{setting}}, 8k, highly detailed",
"negatives": "dogs, blurry"
}
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Hard-coded image prompts are difficult to reuse across different subjects or styles without manual, error-prone editing. Developers building image generation pipelines often struggle to maintain consistency when swapping variables like lighting or aspect ratios across nested JSON fields.
What it does
- Analyzes structured image-prompt JSON to identify high-leverage variables like subject, setting, and style.
- Proposes up to five logical variable slots with rationale and faithful defaults.
- Injects consistent
{{tokens}}across summary, render_prompt, and negative prompt fields. - Maintains schema integrity by preserving unknown fields and tracking variables in a top-level registry.
- Ensures default values allow for immediate rendering without additional configuration.
Why this beats prompting it yourself
Manually tokenizing JSON prompts often leads to "hallucinated" fields or inconsistent token names across different text blocks. This skill enforces a strict contract that keeps tokens synchronized between the render prompt and negative constraints while preserving your existing JSON schema.
Use cases
- Creating reusable templates for AI headshot generators or product photography pipelines.
- Standardizing a prompt library where style and lighting must remain constant while subjects change.
- Building dynamic UI forms that map directly to structured image generation API payloads.
- Refactoring one-off high-quality prompts into scalable assets for automated workflows.
Known limitations
Requires an input JSON containing at least a summary or render_prompt field. Does not generate new image concepts or modify safety constraints.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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