功能描述

Get auto-generated videos ready to post, without touching a single slider. Upload your text scripts (TXT, DOCX, PDF, SRT, up to 500MB), say something like "t...

使用说明 (SKILL.md)

Getting Started

Share your text scripts and I'll get started on automatic video generation. Or just tell me what you're thinking.

Try saying:

"convert my text scripts"
"export 1080p MP4"
"turn this script into a video"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

Generate a UUID as client identifier
POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Text to Automatic — Convert Scripts to Videos Automatically

Name: Text To Automatic
Author: vcarolxhberger

Send me your text scripts and describe the result you want. The automatic video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 200-word product description script, type "turn this script into a video with visuals and voiceover automatically", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter scripts under 150 words produce faster and more focused videos.

Matching Input to Actions

User prompts referencing text to automatic, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...	Action	Skip 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	❌

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

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

Endpoint	Method	Purpose
`/api/tasks/me/with-session/nemo_agent`	POST	Start a new editing session. Body: `{"task_name":"project","language":"\x3Clang>"}`. Returns `session_id`.
`/run_sse`	POST	Send 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/\x3Csid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/\x3Csid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"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-automatic
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 \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Handling

Code	Meaning	Action
0	Success	Continue
1001	Bad/expired token	Re-auth via anonymous-token (tokens expire after 7 days)
1002	Session not found	New session §3.0
2001	No credits	Anonymous: show registration URL with `?bind=\x3Cid>` (get `\x3Cid>` from create-session or state response when needed). Registered: "Top up credits in your account"
4001	Unsupported file	Show supported formats
4002	File too large	Suggest compress/trim
400	Missing X-Client-Id	Generate Client-Id and retry (see §1)
402	Free plan export blocked	Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429	Rate limit (1 token/client/7 days)	Retry in 30s 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.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says	You do
"click [button]" / "点击"	Execute via API
"open [panel]" / "打开"	Query session state
"drag/drop" / "拖拽"	Send edit via SSE
"preview in timeline"	Show track summary
"Export button" / "导出"	Execute 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this script into a video with visuals and voiceover automatically" — concrete instructions get better results.

Max file size is 500MB. Stick to TXT, DOCX, PDF, SRT for the smoothest experience.

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "turn this script into a video with visuals and voiceover automatically" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议

This looks purpose-aligned for cloud video generation. Before installing, make sure you are comfortable sending scripts or media to NemoVideo, using a NemoVideo token or anonymous token, and relying on an entry with limited public provenance.

功能分析

Type: OpenClaw Skill Name: text-to-automatic Version: 1.0.0 The skill provides a functional interface for the NemoVideo API (mega-api-prod.nemovideo.ai) to automate video generation from text scripts. It includes standard procedures for authentication, session management, file uploads, and status polling. While it instructs the agent to perform environment variable lookups and platform detection via installation paths for telemetry headers (X-Skill-Platform), these actions are transparently documented and aligned with the service's operational requirements without evidence of malicious intent or unauthorized data exfiltration.

能力评估

ℹ Purpose & Capability

The visible instructions are coherent with the stated purpose of turning scripts into videos through a remote render service. Users should notice that files and prompts are processed by the external NemoVideo API.

ℹ Instruction Scope

The skill tells the agent to connect to the backend before handling requests and to keep technical details out of chat. This is not inherently unsafe, but users may want explicit disclosure before uploads or exports.

ℹ Install Mechanism

There is no install spec and no code files, so no local executable behavior is shown. Provenance is limited because the source is listed as unknown and there is no homepage.

ℹ Credentials

Use of NEMO_TOKEN or a generated anonymous token is proportionate for a cloud rendering service, but it grants access to a third-party account/session and possible service credits.

ℹ Persistence & Privilege

The visible artifact describes short-lived anonymous tokens and backend session IDs for render jobs. No local persistence or privilege escalation is shown, though cloud jobs may be orphaned if the session is closed.

版本历史

v1.0.0

- Initial release of Text to Automatic — turn scripts into ready-to-post videos automatically. - Upload text scripts (TXT, DOCX, PDF, SRT, up to 500MB) and get 1080p MP4 videos with visuals and voiceover. - No manual editing required: describe your desired result and the backend handles everything. - Automatic session management with easy connection using a free starter token if needed. - Simple user commands for uploading, exporting, checking status, and credit balance. - Fast cloud-based rendering with support for multiple file formats and streamlined error handling.

元数据

Slug text-to-automatic

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

Text To Automatic 是什么？

Get auto-generated videos ready to post, without touching a single slider. Upload your text scripts (TXT, DOCX, PDF, SRT, up to 500MB), say something like "t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 27 次。

如何安装 Text To Automatic？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-automatic」即可一键安装，无需额外配置。

Text To Automatic 是免费的吗？

是的，Text To Automatic 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Text To Automatic 支持哪些平台？

Text To Automatic 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Text To Automatic？

由 vcarolxhberger（@vcarolxhberger）开发并维护，当前版本 v1.0.0。

Text To Automatic