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text-to-video-ai（文字转视频 ai）

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式；涉及外部素材、人物肖像或商业发布时，应先核对版权授权和内容审核要求。

总安装

210

周安装

9

下载量

73
Local Agent

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：text-to-video-ai（文字转视频 ai）
来源仓库：https://skills.volces.com
仓库路径：text-to-video-ai
安装命令：
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令，请以来源页面说明为准。

简介

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。

  • 适合组织镜头、生成素材说明、维护合成代码或排查渲染问题。
  • 使用时需确认分辨率、时长、素材路径和导出格式。
  • 涉及外部素材、人物肖像或商业发布时，应先核对版权授权和内容审核要求。
  • 建议结合原始 README 进一步核验具体用法和限制条件。

SKILL.md

Getting Started

Let's do some text to video ai. Upload your files or describe what you're after.

Try saying:

  • "generate my text prompts"
  • "export 1080p MP4"
  • "turn this script into a 30-second"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

From Text Prompts to Ai Generated Videos

This does AI video creation for text prompts. Everything runs server-side.

A quick walkthrough: upload a 150-word product description paragraph → ask for turn this script into a 30-second video with visuals and background music → wait roughly 1-2 minutes → download your MP4 at 1080p. The backend handles rendering, encoding, all of it.

Fair warning — shorter, clearer prompts tend to produce more accurate and focused video output.

Sorting Your Requests

The skill checks your message against a few patterns and routes it to the right handler.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export✅
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits✅
"status" / "状态" / "show tracks"→ §3.4 State✅
"upload" / "上传" / user sends file→ §3.2 Upload✅
Everything else (generate, edit, add BGM…)→ §3.1 SSE❌

Backend Processing

The heavy lifting runs on NemoVideo's GPU cluster. You upload, the backend processes, you download. No local rendering needed.

Base URL: https://mega-api-prod.nemovideo.ai

EndpointMethodPurpose
/api/tasks/me/with-session/nemo_agentPOSTStart a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_ssePOSTSend a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>POSTUpload a file (multipart) or URL.
/api/credits/balance/simpleGETCheck remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latestGETFetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambdaPOSTStart export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: text-to-video-ai
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Quick Start Guide

First time? Just upload a text prompts and describe what you need. I'll run it through NemoVideo's backend and hand you back a 1080p MP4.

Processing takes about 1-2 minutes depending on video length. You start with 100 free credits — most edits cost 1-3.

Tips and Tricks

Keep your source files under 500MB for fastest processing. If you're working with longer content, split it into chunks first.

For best results at 1080p, make sure your input is at least 720p. Upscaling from 480p works but you'll notice it.

Export as MP4 for widest compatibility across social platforms and devices.

Best Practices

Use source footage in TXT, DOCX, PDF, SRT format for best compatibility. 1080p input gives the cleanest results but 720p works fine too.

Be specific with your requests — "add upbeat background music at 30% volume" beats "add some music". The AI works better with concrete details.

Export as MP4 for widest compatibility across social platforms and devices.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

97%
按下载量换算71

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API；具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

来源页面

skills.volces.com

/

SKILL.md 来源

skills.sh

/site/skills.volces.com/text-to-video-ai

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