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Prompt engineering image

Skill event4u-app/agent-config/src/skills/prompt-engineering-image

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npx -y skills add event4u-app/agent-config --skill prompt-engineering-image

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Translate an image brief into provider-specific prompt grammar per model. Use when writing or refining an image-generation prompt for Ideogram, Flux, Gemini, GPT Image 2, or Recraft.

SKILL.md

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prompt-engineering-image

Translate an image brief into a provider-specific prompt string. Each model has distinct prompt grammar — this skill applies the right structure per adapter.

When to use

  • Writing or refining a prompt for any pack-ai-image provider.
  • After image-provider-routing has selected the target provider.
  • When a prompt is underperforming and needs provider-specific tuning.

Per-provider prompt grammar

Ideogram (text-in-image: logos, banners, typographic art)

  • Lead with the text literal in quotes: "BAKERY NAME" in bold serif on a cream background.
  • Follow with visual context: background, color palette, style (flat, vintage, art-deco).
  • Avoid long scene descriptions — Ideogram renders text best with a focused layout brief.
  • Key params: model: V_2, aspect_ratio: ASPECT_1_1 (square logo) or ASPECT_16_9 (banner), magic_prompt_option: AUTO (let Ideogram enrich).

Flux (photoreal: product shots, portraits, scenes)

  • Descriptive noun phrase first: subject → lighting → environment → camera.
  • Example: "Close-up product shot of a ceramic coffee mug, soft studio lighting, clean white background, 50 mm lens bokeh, ultra sharp".
  • Style descriptors: cinematic, hyperrealistic, 8K, golden hour, DSLR.
  • Negative prompts accepted: --no cartoon, illustration, text.
  • Routes through fal/Replicate — model slug: fal-ai/flux-pro or black-forest-labs/flux-pro.

Recraft (vector / SVG logos and icons)

  • Style param is mandatory: style: vector_illustration (SVG output), style: icon (for simplified marks), style: realistic_image (raster fallback).
  • Keep prompt minimal — recraft interprets shape semantics: "minimalist leaf icon, single color".
  • Avoid photographic language (lighting, bokeh, grain) — it has no effect on vector output.
  • Key params: model: recraftv3, response_format: url.

Gemini-image / GPT Image 2 (general art, edits, multimodal)

  • Natural language works well — no special syntax required.
  • Be explicit about style: "watercolor illustration", "flat design", "oil painting".
  • For GPT Image 2 image editing: include the edit instruction after describing the target: "Remove the background and replace with a solid pastel blue".
  • Gemini: submit via generateContent (Nano Banana family) or imagen-4.0:predict (Imagen 4).

Procedure

  1. Receive the brief — extract: subject, style, output format (raster/vector/banner), target provider (from image-provider-routing or explicitly stated).
  2. Structure the prompt blocks — subject · style · composition · technical params.
  3. Apply provider grammar from the section above for the target model.
  4. Tune for the job shape — text-literal first for Ideogram; noun-phrase first for Flux; minimal + style: param for Recraft; natural language for Gemini/GPT.
  5. Inspect the adapter header — open src/scripts/ai-image/adapters/<provider>.sh and confirm the param enums (aspect/style/model) the prompt relies on still match.
  6. Emit the prompt in the Output format below.

Output format

  1. Target provider — name + adapter file reference.
  2. Prompt string — the exact string to pass to the adapter, ready to copy.
  3. Key params — any model-specific fields (aspect ratio, style, negative prompts).
  4. Variant (optional) — one alternative phrasing when the brief is ambiguous.

Gotcha

  • Per-provider param enums drift — aspect_ratio, style, and model enum values are ASSUMED from the adapter header comments. Verify against live API docs before promotion; never hardcode these in production without a smoke trace.
  • Adapters are scaffold-tier — prompts authored here are not live-validated. Actual rendering requires adapter promotion to stable per provider-lifecycle-discipline.
  • Recraft: photographic descriptors (bokeh, lighting, grain) silently have no effect on vector output — strip them to avoid prompt budget waste.

Good example: Ideogram brief for a bakery logo — lead with the text literal: '"Le Four" in warm serif, vintage French patisserie style, cream and terracotta'.

Bad example: Sending a photorealism-heavy Flux prompt to Recraft — the style descriptors will be ignored and the vector output will be wrong.

Do NOT

  • Do NOT send photographic descriptors (bokeh, lighting, grain) to Recraft — they have no effect on vector output and waste the prompt budget.
  • Do NOT hardcode ASSUMED param enums into a live run without a smoke trace — verify against the adapter header / provider docs first.
  • Do NOT embed a real person's likeness, a trademarked brand mark, or a named living artist's style in a prompt without the rights check (image-likeness-and-rights).
  • Do NOT write a prompt before the provider is chosen — route via image-provider-routing first.

See also

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