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Imagera Skills

Skills
Jobs, not prompts.

Each skill is a tested job: the steps, the models and the know-how to run it. Open it as an app in Canvas, load it in Superagent with /, or hand it to your own agent over MCP.

Every run is priced before it starts.

One product, a catalogue hero and a lifestyle shot.Product listing photos
A product shot with a deliberate camera move.Product ad video
The same product, four genuinely different executions.Ad variations to test
A creator-style review, filmed on a phone.Talking product review
Object ID — one sheet, every shot.Object ID
A still that moves, cut for vertical.Reel from a photo
Sketch each shot first, render it second.Storyboard to shots
One face, held across every shot.The same character in every shot

All skills

Pick one to see its inputs, steps and how to run it anywhere.

Use skills from your agent

Claude, Cursor, ChatGPT and any MCP client run the same skills on your account and credits.

1. Connect MCP

Add https://mcp.imagera.ai/mcp as a connector and sign in. No API key.

https://mcp.imagera.ai/mcp

2. Add the skill

Download a skill’s SKILL.md into your agent’s skills folder, or just ask it by name.

~/.claude/skills/imagera-character-id/SKILL.md

3. Run with a quote

The agent calls run_skill with confirm: false for the price, then runs it when you agree.

list_skills · run_skill · check_skill_run · list_identities

Character, Object, Location, Outfit IDs

Make a reusable 4K sheet once; every skill and agent can pass it to any model.

Open Character ID

Questions

What is an Imagera skill?

A proven multi-step job — its inputs, steps, models and the know-how to run it — packaged so Canvas, Superagent and outside agents run it the same way.

Do skills cost extra?

No. A skill spends the credits of the generations it runs, and every run shows its price before it starts.

Can I change a skill?

Yes. Open it in Canvas: it becomes your own board, where every step, model and prompt can be edited and saved.

How do agents use skills?

Connect the Imagera MCP server, then the agent lists skills with list_skills, quotes and runs them with run_skill, and collects results with check_skill_run.