# 電影大師 filmai

> 電影大師 filmai — ai-filmai-filmai. Use this tool when you need to streamline your film production process, from scripting to shooting, and solve problems such as disorganized takes, inefficient script auditing, and costly last-minute changes. It takes in scripts, images, videos, and sound as inputs and outputs reviewed takes, audited scripts, and quotes for production costs. Use it to optimize your film production workflow and reduce errors, saving time and resources in the process.

Canonical page: https://skillsregistry.net/skills/ai-filmai-filmai  
JSON: https://api.skillsregistry.net/v1/skills/ai-filmai-filmai

## Description

AI film studio: shoot video, images and sound, review takes, audit scripts, quote before you shoot.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.filmai%2Ffilmai)

## Use it

MCP endpoint published by the skill: `https://filmai.ai/api/mcp/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-filmai-filmai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-filmai-filmai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-filmai-filmai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt