What problem does it solve?
Creating a consistent, on-brand SEO landing page for each AI generation ecosystem (Flux, SDXL, Pony, Wan, etc.) requires manually gathering model stats, writing unique copy, and rebuilding the same layout repeatedly. This Skill automates that by filling a frozen HTML template with ecosystem-specific data derived from the Civitai codebase and databases.
Core Features & Use Cases
- Template-driven page generation: Fills a frozen dark-themed HTML template with ecosystem-specific tokens, producing a self-contained landing page with hero, model grids, LoRA rails, example galleries, comparison tables, and FAQ sections.
- Auto-derivation from codebase: Resolves ecosystem metadata (display name, modality, family, open vs API-only) from basemodel.constants.ts, asking the developer only for what cannot be derived.
- Grounded SEO content: Writes overview, prompt tips, and FAQ copy sourced from real model cards (via postgres-query) and the orchestrator's prompt-analysis guide, avoiding duplicate or fabricated content.
- Optional live data: Can pull real model counts, top models, and remixable example generations from Postgres/ClickHouse, or fall back to labeled placeholder data.
- Use Case: A developer wants a landing page mockup for the Wan video ecosystem. The Skill derives Wan's modality and family, asks for positioning and comparison peers, fills the template with video-specific labels, and publishes it as an artifact.
Quick Start
Ask the assistant to generate an ecosystem SEO hub page for a specific model family, for example: create an ecosystem SEO page for Wan.