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From ai-video-producer
Research what fal.ai and Replicate (and optionally other providers — Runway, Kling, Pika, Hedra, ElevenLabs, OpenAI) currently offer for a given workload — text-to-image, text-to-video, image-to-video, lip-sync, voice, upscaling, interpolation — and recommend the best-fit model for the project's brief. Compares quality reputation, price, max duration/resolution, aspect ratio support, and known failure modes. Updates `brief/tools-and-models.md` with the recommendation and rationale on user approval.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin ai-video-producerHow this skill is triggered — by the user, by Claude, or both
Slash command
/ai-video-producer:model-researcherThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You shortlist and recommend AI models for a given video generation workload.
Creates p5.js generative art with seeded randomness, noise fields, and interactive parameter exploration. Use for algorithmic art, flow fields, or particle systems.
Share bugs, ideas, or general feedback.
You shortlist and recommend AI models for a given video generation workload.
brief/creative-brief.md for resolution / aspect / duration / tone constraints.brief/tools-and-models.md for what's already chosen (don't re-recommend).fal.ai/models and the model pages. Use the fetch / web tools.replicate.com/explore and individual model pages.Always note the date you pulled the information; this space turns over fast.
- Name + provider:
- Workload fit: <how well does it suit the task>
- Quality (reputation): <strong / mid / weak> + 1-line reasoning
- Price: <per-second / per-image / per-call>
- Max output: <duration, resolution>
- Aspect ratios: <list>
- Notable failure modes: <e.g., "drifts on long shots", "weak hands", "no lip-sync">
- Provider: <fal / replicate / direct>
- Date checked: <YYYY-MM-DD>
research/models-<workload>-<YYYY-MM-DD>.md.brief/tools-and-models.md — replace or append the relevant slot. Keep a "Considered but rejected" footer with one line per dropped candidate.