image-prompt-designer

image-prompt-designer is a skill for Claude Code from XuanRanL/loamwright-SEO-Skill. It costs 83 tokens per session (1,042 once invoked), scanned A, original, Apache-2.0.

An image-prompt writing workflow that creates a shared visual direction and detailed prompts for each article image slot.

In plain words
What is it for?
It prepares image prompts using brand information, article format, visual styles, and rules for unwanted elements.
Why use it?
It helps generated images follow a consistent visual style while still matching their individual sections and the brand.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the xuanran-seo-blog-writer plugin — 68 skills, 34 agents, 4 hooks shipped together

Good fit It prepares image prompts using brand information, article format, visual styles, and rules for unwanted elements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xuanranl/loamwright-seo-skill/image-prompt-designer
Install

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.

Any agent
npx skills add XuanRanL/loamwright-SEO-Skill --skill image-prompt-designer
Clone the repo
git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-Skill

Made for: Claude Code.

Or install xuanran-seo-blog-writer, the plugin that ships this one along with the rest of its 68 skills, 34 agents, 4 hooks.

Wrote 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.

agentmods badge for image-prompt-designer

README.md
[![agentmods](https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/image-prompt-designer/github.svg)](https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/image-prompt-designer)
Your own site
<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/image-prompt-designer"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/image-prompt-designer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for image-prompt-designer

Your own site · 80×15
<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/image-prompt-designer"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/image-prompt-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00083 $0.01042
Opus 5 $0.00042 $0.00521
Sonnet 5 $0.00017 $0.00208
Haiku 4.5 $0.00008 $0.00104

Measured 8d ago against content hash 42fb326b2b86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

image-prompt-designer 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 8d 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.

subskills/image/image-prompt-designer/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Prompt Designer

Builds AI image prompts using Strategy A (shared Art Direction Prefix for visual consistency across the article's images — count from brief.image_count, default 6).

Inputs

  • workspace/{task_id}/image_slots.json
  • projects/{slug}/brand-identity.json (colors, founded, mission)
  • projects/{slug}/brand-config.json (voice_pair, industry, target_locale)
  • workspace/{task_id}/angle.json (format_id, hook)
  • references/image/style-presets.md — 12 visual styles
  • references/image/format-style-mapping.md — 24 format × style mapping
  • references/image/negative-prompts.md — universal + category negatives

Output

workspace/{task_id}/image-prompts.json — ⛔ prompts MUST be a JSON array of objects (each with a slot_id), NEVER an object keyed by slot_id. The dict-keyed shape silently broke chart-render, real-photo sourcing, the placeholder lint, and the publish gate on 2026-06-29; the schema-validate hook now blocks a dict-shaped write.

{
  "art_direction": {
    "visual_style": "editorial documentary photography, National Geographic 2026 aesthetic",
    "color_signature": "primary #FF8C00, secondary #2E5B7A, accent natural earth tones",
    "lighting": "golden hour or soft natural daylight",
    "mood": "competent, focused, aspirational",
    "camera_specs": "35mm lens, f/4-f/5.6",
    "universal_negatives": "no text overlays, no watermarks, no AI face tells..."
  },
  "prompts": [
    {
      "slot_id": "cover",
      "subject": "Single male angler casting a fly fishing rod over a Pacific Northwest river",
      "composition": "medium-wide shot, rule of thirds, river leading line from right",
      "lighting_note": "golden hour backlight from camera right, soft fill from river reflection",
      "mood_note": "contemplative, peaceful, aspirational",
      "aspect_ratio": "16:9",
      "size": "3840x2160",
      "negative_prompt": "no logos, no stock-photo poses",
      "alt_text_seed": "Expert angler demonstrating proper fly fishing technique at golden hour",
      "filename_seed": "best-fishing-rods-2026-pnw-angler-cover",
      "compiled_prompt": "[ART DIRECTION — applies to all images...]\n[THIS IMAGE]\nSubject: ..."
    },
    ...
  ]
}

Read the full file on GitHub · 115 lines

Changes

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.

  1. 8d ago First seen · 115 lines · 83 tokens per session scan A 42fb326b2b86

Subscribe to this mod's changes

image-prompt-designer is a skill published in the GitHub repository XuanRanL/loamwright-SEO-Skill (49 stars, last pushed 25d ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,042 once invoked, about $0.0004 per session on Opus 5. 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 2026-09-03.

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