seedproject-web/content-pipeline/prompts/image.md
Carlos Arias 1559ce017d chore: scaffold SeedProject base (Phase 1)
Clean-room copy of the reusable engines from comiida, with all
instance data, secrets, dependencies, and build output excluded:
- app/         Astro theme skeleton (no comiida blog posts; hero image -> placeholder)
- api/         SeedProject PHP framework (no vendor/.env/config.php)
- content-pipeline/  engine only (scripts/admin/prompts; empty runtime state)
- astroagent.config.json + app/.astroagent/skills

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SYHWLHihq3v9nxNwoPCKSn
2026-07-04 22:53:10 +00:00

2.1 KiB

Cover image generation (Higgsfield MCP)

The cover is an illustrative editorial image — appetizing and on-topic, but never implying a real photograph of a specific named restaurant, dish-as-served, or identifiable person.

Flow (use the Higgsfield claude.ai MCP tools)

  1. Pick a model: call mcp__claude_ai_Higgsfield__models_explore with action:"recommend" and a goal like "editorial food/lifestyle photography cover image", to get a suitable model id and its valid aspect_ratios. If that fails, default to the preferredModel from config (soul_2).
  2. Generate: call mcp__claude_ai_Higgsfield__generate_image with params: { model, prompt, aspect_ratio, count: 1 }. Use a valid aspect ratio close to 3:2 landscape. This returns a job id.
  3. Wait for the result: call mcp__claude_ai_Higgsfield__job_status with { jobId, sync: true }; repeat (respecting poll_after_seconds) until the job is terminal. Read the resulting image URL from results.
  4. Download: use Bash curl -fsSL "<image_url>" -o "<draftDir>/cover.jpg" to save the image as cover.jpg in the draft directory. Verify the file exists and is non-empty.

If image generation fails after a reasonable retry, continue without it and record imageGenerated: false in sources.json.

Style guardrails (put these in the prompt)

  • Editorial food/lifestyle photography aesthetic, natural light, shallow depth of field.
  • Medellín / Colombian context where relevant (tropical, warm, Paisa setting) but generic.
  • No real logos, no readable signage, no recognizable real people, no text overlays.
  • High detail, web-quality, landscape orientation.

Prompt skeleton

Editorial food photography, {subject relevant to the article topic}, {Medellin/Colombian
ambience if relevant}, natural window light, shallow depth of field, warm tones, appetizing,
clean composition, no text, no logos, no people's faces. Photorealistic, high detail.

Fill {subject} from the article topic (e.g. "a vibrant brunch spread on a cafe table", "specialty coffee being poured", "a colorful arepa plate"). Keep it generic and illustrative.