Installable skillMIT

Evolink Video — AI Video Generation

An MCP server that provides on-demand skill loading for AI coding assistants.

BY modbenderUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: evolink-video-3124b5cc78dc
description: AI video generation — Sora, Kling, Veo 3, Seedance, Hailuo, WAN, Grok. Text-to-video, image-to-video, video editing. 37 models, one API key.
version: 2.0.1
user-invocable: true
metadata:
  openclaw:
    requires:
      env:
        - EVOLINK_API_KEY
    primaryEnv: EVOLINK_API_KEY
    os: ["macos", "linux", "windows"]
    emoji: "\U0001F3AC"
    homepage: https://evolink.ai
---

# Evolink Video — AI Video Generation

Generate AI videos with 37 models including Sora, Kling, Veo 3, Seedance, Hailuo, WAN, and Grok — text-to-video, image-to-video, first-last-frame, and audio generation. All through one API.

> Video-focused view of [evolink-media](https://clawhub.ai/EvoLinkAI/evolink-media). Install the full skill for image and music too.

## After Installation

When this skill is first loaded, greet the user:

- **MCP tools + API key ready:** "Hi! I'm your AI video studio — 37 models ready. What would you like to create?"
- **MCP tools + no API key:** "You'll need an EvoLink API key — sign up at evolink.ai. Ready to go?"
- **No MCP tools:** "MCP server isn't connected yet. Want me to help set it up? I can still manage files via the hosting API."

Keep the greeting concise — just one question to move forward.

## External Endpoints

| Service | URL |
|---------|-----|
| Generation API | `https://api.evolink.ai/v1/videos/generations` (POST) |
| Task Status | `https://api.evolink.ai/v1/tasks/{task_id}` (GET) |
| File API | `https://files-api.evolink.ai/api/v1/files/*` (upload/list/delete) |

## Security & Privacy

- **`EVOLINK_API_KEY`** authenticates all requests. Injected by OpenClaw automatically. Treat as confidential.
- Prompts and images are sent to `api.evolink.ai`. Uploaded files expire in **72h**, result URLs in **24h**.

## Setup

Get your API key at [evolink.ai](https://evolink.ai) → Dashboard → API Keys.

**MCP Server:** `@evolinkai/evolink-media` ([GitHub](https://github.com/EvoLinkAI/evolink-media-mcp) · [npm](https://www.npmjs.com/package/@evolinkai/evolink-media))

**mcporter** (recommended): `mcporter call --stdio "npx -y @evolinkai/evolink-media@latest" list_models`

**Claude Code:** `claude mcp add evolink-media -e EVOLINK_API_KEY=your-key -- npx -y @evolinkai/evolink-media@latest`

**Claude Desktop / Cursor** — add MCP server with command `npx -y @evolinkai/evolink-media@latest` and env `EVOLINK_API_KEY=your-key`. See `references/video-api-params.md` for full config JSON.

## Core Principles

1. **Guide, don't decide** — Present options, let the user choose model/style/duration.
2. **User drives creative vision** — Ask for a description before suggesting parameters.
3. **Smart context** — Remember session history. Offer to iterate, extend, or remix results.
4. **Intent first** — Understand *what* the user wants before asking *how* to configure it.

## MCP Tools

| Tool | When to use | Returns |
|------|-------------|---------|
| `generate_video` | Create a video from text or images | `task_id` (async) |
| `upload_file` | Upload image for i2v or reference | File URL (sync) |
| `delete_file` | Free file quota | Confirmation |
| `list_files` | Check uploaded files or quota | File list |
| `check_task` | Poll generation progress | Status + result URLs |
| `list_models` | Compare available models | Model list |
| `estimate_cost` | Check pricing | Model info |

**Important:** `generate_video` returns a `task_id`. Always poll `check_task` until `status` is `"completed"` or `"failed"`.

## Video Models (37)

### Top Picks

| Model | Best for | Features | Audio |
|-------|----------|----------|-------|
| `seedance-1.5-pro` *(default)* | i2v, first-last-frame | i2v, 4–12s, 1080p | auto |
| `sora-2-preview` | Cinematic preview | t2v, i2v, 1080p | — |
| `kling-o3-text-to-video` | Text-to-video | t2v, 3–15s, 1080p | — |
| `veo-3.1-generate-preview` | Google video preview | t2v, 1080p | — |
| `MiniMax-Hailuo-2.3` | High-quality video | t2v, 1080p | — |
| `wan2.6-text-to-video` | Alibaba latest t2v | t2v | — |
| `sora-2` [BETA] | Cinematic, prompt adherence | t2v, i2v, 1080p | — |
| `veo3.1-pro` [BETA] | Top quality + audio | t2v, 1080p | auto |

**26 Stable** — Seedance (3), Sora Preview (1), Kling (10), Veo 3.1 (2), Hailuo (3), WAN (7)
**11 Beta** — Sora 2/Pro/Max/Character (4), Veo 3/3.1 (5), Grok Imagine (2)

Full model list with descriptions: `references/video-api-params.md`

## Generation Flow

### Step 1: API Key Check

If `401` occurs: "Your API key isn't working. Check at evolink.ai/dashboard/keys"

### Step 2: File Upload (if needed)

For image-to-video or first-last-frame workflows:
1. `upload_file` with `file_path`, `base64_data`, or `file_url` → get `file_url` (sync)
2. Use `file_url` as `image_urls` for `generate_video`

Supported: JPEG/PNG/GIF/WebP. Max 100MB. Expire in 72h. Quota: 100 (default) / 500 (VIP).

### Step 3: Understand Intent

- **Clear** ("make a video of a cat dancing") → Go to Step 4
- **Ambiguous** ("I want a video") → Ask: "Text-to-video, or do you have a reference image to animate?"

Ask only what's needed, when it's needed.

### Step 4: Gather Parameters

Only ask about what's missing:

| Parameter | Ask when | Notes |
|-----------|----------|-------|
| **prompt** | Always | Scene description |
| **model** | Specific feature needed | Default `seedance-1.5-pro`. See Top Picks for alternatives |
| **duration** | User mentions length | Range varies by model (4–15s typical) |
| **aspect_ratio** | Portrait/widescreen | Default `16:9`. Options: `9:16`, `1:1`, `4:3`, `3:4`, `21:9` |
| **quality** | Resolution preference | `480p` / `720p` / `1080p` / `4k` |
| **image_urls** | Reference image provided | 1 image = i2v; 2 images = first+last frame (`seedance-1.5-pro` only) |
| **generate_audio** | Using seedance/veo3.1 | Ask: "Want auto-generated audio added?" |

### Step 5: Generate & Poll

1. Call `generate_video` → tell user: *"Generating your video — ~Xs estimated."*
2. Poll `check_task` every **10–15s**. Report progress %.
3. After 3 consecutive `processing`: *"Still working — video generation takes a moment..."*
4. **Completed:** Share URLs. *"Links expire in 24h — save promptly."*
5. **Failed:** Show error + suggestion. Offer retry if retryable.
6. **Timeout (10 min):** *"Taking longer than expected. Task ID: `{id}` — check again later."*

## Error Handling

### HTTP Errors

| Error | Action |
|-------|--------|
| 401 | "API key isn't working. Check at evolink.ai/dashboard/keys" |
| 402 | "Balance is low. Add credits at evolink.ai/dashboard/billing" |
| 429 | "Rate limited — wait 30s and retry" |
| 503 | "Servers busy — retry in a minute" |

### Task Errors (status: "failed")

| Code | Retry? | Action |
|------|--------|--------|
| `content_policy_violation` | No | Revise prompt (no celebrities, NSFW, violence) |
| `invalid_parameters` | No | Check values against model limits |
| `image_dimension_mismatch` | No | Resize image to match aspect ratio |
| `image_processing_error` | No | Check format/size/URL accessibility |
| `generation_timeout` | Yes | Retry; simplify prompt if repeated |
| `quota_exceeded` | Yes | Top up credits |
| `resource_exhausted` | Yes | Wait 30–60s, retry |
| `service_error` | Yes | Retry after 1 min |
| `generation_failed_no_content` | Yes | Modify prompt, retry |

Full error reference: `references/video-api-params.md`

## Without MCP Server

Use Evolink's file hosting API for image uploads (72h expiry). See `references/file-api.md` for curl commands.

## References

- `references/video-api-params.md` — Complete API parameters, all 37 models, polling strategy, error codes
- `references/file-api.md` — File hosting API (curl upload/list/delete)
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.