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How To Create Ai Videos For Free

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install how-to-create-ai-videos-for-free
功能描述
generate text or images into ready-to-share videos with this skill. Works with MP4, JPG, PNG, TXT files up to 200MB. content creators use it for generating A...
使用说明 (SKILL.md)

Getting Started

Got text or images to work with? Send it over and tell me what you need — I'll take care of the AI video generation.

Try saying:

  • "generate a short text script or three product images into a 1080p MP4"
  • "create a 30-second promotional video from my product description"
  • "generating AI videos from text or images for free for content creators"

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.

How to Create AI Videos for Free — Generate Videos from Text or Images

Drop your text or images in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short text script or three product images, ask for create a 30-second promotional video from my product description, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter scripts under 60 words generate faster and more accurately.

Matching Input to Actions

User prompts referencing how to create ai videos for free, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source how-to-create-ai-videos-for-free
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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.

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)

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=\x3Cid>, 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

Common Workflows

Quick edit: Upload → "create a 30-second promotional video from my product description" → 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 "create a 30-second promotional video from my product description" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, JPG, PNG, TXT for the smoothest experience.

Export as MP4 for widest compatibility.

安全使用建议
This skill appears to implement a reasonable workflow for a third-party video-generation API and asks only for a single API token (NEMO_TOKEN). Before installing, consider: 1) provenance — the skill has no homepage or known source; verify the domain (mega-api-prod.nemovideo.ai) and whether you trust that service. 2) Tokens — if you supply NEMO_TOKEN it will be sent as a Bearer token on every request; do not supply high-privilege or multi-service credentials. 3) Local config path mismatch — the SKILL.md metadata references ~/.config/nemovideo/ but the registry said no config paths; ask the publisher to explain whether the skill will read or write that directory. 4) Data exposure — uploaded files (images, text, or local file paths) and generated media are sent to the remote API; don't send sensitive content you wouldn't want shared with that service. If the publisher can provide a homepage, privacy policy, or clarify the config-path usage, the assessment could be upgraded to benign.
功能分析
Type: OpenClaw Skill Name: how-to-create-ai-videos-for-free Version: 1.0.0 The skill is a legitimate integration for the NemoVideo AI service, allowing users to generate videos from text or images. It defines standard API workflows for authentication, session management, file uploads, and rendering via 'https://mega-api-prod.nemovideo.ai'. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested environment variables and configuration paths are specific to the service's operation.
能力评估
Purpose & Capability
The name/description match the runtime instructions: the SKILL.md shows a clear workflow for sending text/images to a remote nemo-video API and getting MP4s back. Requiring a single NEMO_TOKEN is proportionate. However, the frontmatter metadata also lists a config path (~/.config/nemovideo/) while the registry metadata said "Required config paths: none" — that mismatch is unexplained and should be clarified.
Instruction Scope
Instructions are narrowly scoped to establishing a session, sending SSE messages, uploading files, polling session state, and exporting renders. They explicitly instruct use of Authorization headers, attribution headers, and uploading user-supplied files. There are no instructions to read unrelated system files or other environment variables. The only scope concern is the expectation to access a local config path (see above) implied in the frontmatter.
Install Mechanism
This is an instruction-only skill with no install spec or code files — lowest-risk install mechanism. No downloads, package installs, or binaries are requested.
Credentials
The skill declares a single primary credential (NEMO_TOKEN), which is appropriate for a third-party API. The SKILL.md also describes obtaining an anonymous token via the API if no env var is present (ephemeral). The metadata's reference to ~/.config/nemovideo/ is not declared elsewhere in the registry and could imply local config access; that is not justified in the top-level manifest and should be clarified.
Persistence & Privilege
always:false and no claims to modify other skills or system-wide settings. The skill may create or use a session on the remote service but does not request persistent platform privileges. The only persistence concern is the metadata's implied local config path which could be used for storing tokens if implemented — this is not declared in registry-level fields.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install how-to-create-ai-videos-for-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /how-to-create-ai-videos-for-free 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release — generate AI videos from text or images, export in MP4 for free. - Supports MP4, JPG, PNG, and TXT files up to 200MB. - Automatic session and token management; 100 free credits for new users. - Fast cloud GPU video generation at 1080p, with most renders in 1–2 minutes. - Simple workflows for quick edits, batch processing, and iterative refinement. - Provides clear status updates, error handling, and timeline summaries.
元数据
Slug how-to-create-ai-videos-for-free
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

How To Create Ai Videos For Free 是什么?

generate text or images into ready-to-share videos with this skill. Works with MP4, JPG, PNG, TXT files up to 200MB. content creators use it for generating A... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 82 次。

如何安装 How To Create Ai Videos For Free?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install how-to-create-ai-videos-for-free」即可一键安装,无需额外配置。

How To Create Ai Videos For Free 是免费的吗?

是的,How To Create Ai Videos For Free 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

How To Create Ai Videos For Free 支持哪些平台?

How To Create Ai Videos For Free 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 How To Create Ai Videos For Free?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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