功能描述

Cloud-based ai-video-generator-from-text tool that handles generating videos from written scripts or descriptions. Upload TXT, DOCX, PDF, copied text files (...

使用说明 (SKILL.md)

Getting Started

Share your text prompts and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

"generate my text prompts"
"export 1080p MP4"
"turn this text 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.

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.
Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. 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.

AI Video Generator from Text — Turn Text into Shareable Videos

Name: Ai Video Generator From Text
Author: linmillsd7

This tool takes your text prompts and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 150-word product description and want to turn this text into a 30-second promotional video with visuals and music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter, clearer text prompts produce more accurate video results.

Matching Input to Actions

User prompts referencing ai video generator from text, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-generator-from-text, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
`heartbeat` / empty `data:`	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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)

Common Workflows

Quick edit: Upload → "turn this text into a 30-second promotional video with visuals and music" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this text into a 30-second promotional video with visuals and music" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

安全使用建议

This skill behaves like a normal cloud video-generation connector, but it will contact an external service and transmit any files you upload. Before installing: 1) Confirm you trust the domain (mega-api-prod.nemovideo.ai) and review its privacy/data-retention policy; avoid uploading sensitive files unless you're comfortable with that service. 2) Prefer to supply your own token (NEMO_TOKEN) from a registered account if you want better auditability rather than allowing the skill to auto-obtain anonymous tokens. 3) Ask or inspect how/where session tokens are stored (the frontmatter mentions ~/.config/nemovideo/) if you want assurance tokens are not written to disk or are easily revocable. 4) Note the package is instruction-only with unknown source/homepage — there is no bundled code to inspect, so trust/verification depends on the service and owner provenance.

功能分析

Type: OpenClaw Skill Name: ai-video-generator-from-text Version: 1.0.0 The skill is a legitimate-looking tool for generating AI videos from text prompts using the nemovideo.ai API. It provides detailed instructions for the agent to automate authentication (via anonymous tokens), session management, and video rendering workflows. While it includes logic for environment-based attribution (checking install paths in SKILL.md) and automated backend connections, these behaviors are consistent with the stated purpose of providing a seamless video generation service and do not exhibit signs of data exfiltration or malicious execution.

能力评估

✓ Purpose & Capability

The skill declares and uses a single service credential (NEMO_TOKEN) and documents endpoints for creating sessions, uploading media, streaming edits, and rendering — which matches a cloud AI video generator. Minor metadata inconsistency: the registry summary lists no required config paths, but the SKILL.md YAML frontmatter declares a config path (~/.config/nemovideo/).

ℹ Instruction Scope

The SKILL.md instructs the agent to automatically obtain an anonymous token (via POST to https://mega-api-prod.nemovideo.ai), create and persist a session_id, open SSE streams, and upload user files (up to 500MB). These actions are expected for a cloud render pipeline, but they involve network calls and transmitting user files (which may include sensitive content). The guidance to 'don't display raw API responses or token values' is reasonable for security but also instructs stealthy handling of tokens (not a functional problem, but worth noting). The skill also instructs detecting install path to set an attribution header (requires reading common install directories).

✓ Install Mechanism

There is no install specification and no bundled code — this is an instruction-only skill, so nothing is downloaded or written to disk by an installer step.

✓ Credentials

Only a single service credential (NEMO_TOKEN) is required and declared as primaryEnv. That aligns with the described cloud service. No unrelated secrets or broad system credentials are requested.

ℹ Persistence & Privilege

always:false (no forced inclusion). The skill instructs storing session_id and using the token across requests; the YAML frontmatter references a config path (~/.config/nemovideo/), implying the token or session could be persisted. The SKILL.md does not explicitly say whether to persist to disk or memory — clarify storage location if you need assurance that credentials aren't written to disk.

版本历史

v1.0.0

ai-video-generator-from-text 1.0.0 - Initial release of the AI Video Generator from Text skill. - Supports uploading TXT, DOCX, PDF, and various media files (up to 500MB) to generate 1080p MP4 videos from text prompts. - Cloud-based rendering pipeline with 1-2 minute processing per video; marketers can turn descriptions or scripts into shareable videos. - Integrated session management, authentication, and credit/balance checking. - Includes detailed error handling and streamlined workflows for editing, previewing, and exporting videos.

元数据

Slug ai-video-generator-from-text

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

Ai Video Generator From Text 是什么？

Cloud-based ai-video-generator-from-text tool that handles generating videos from written scripts or descriptions. Upload TXT, DOCX, PDF, copied text files (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。

如何安装 Ai Video Generator From Text？

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

Ai Video Generator From Text 是免费的吗？

是的，Ai Video Generator From Text 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Ai Video Generator From Text 支持哪些平台？

Ai Video Generator From Text 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 Ai Video Generator From Text？

由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。

Ai Video Generator From Text