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Hd Free Video Generation

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install hd-free-video-generation
功能描述
Turn a short text description of a beach sunset scene into 1080p HD video clips just by typing what you need. Whether it's generating HD videos from text pro...
使用说明 (SKILL.md)

Getting Started

Got text prompts 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 description of a beach sunset scene into a 1080p MP4"
  • "generate a 30-second HD video of a city timelapse at night"
  • "generating HD videos from text prompts at no cost for content creators"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

HD Free Video Generation — Generate HD Videos From Text

Drop your text prompts 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 description of a beach sunset scene, ask for generate a 30-second HD video of a city timelapse at night, 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 prompts with clear scene details produce more accurate results faster.

Matching Input to Actions

User prompts referencing hd free video generation, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

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

Header Value
X-Skill-Source hd-free-video-generation
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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)

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

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.

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 30-second HD video of a city timelapse at night" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, WebM, AVI for the smoothest experience.

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "generate a 30-second HD video of a city timelapse at night" → 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 skill appears to do what it says: it sends prompts and uploaded media to nemovideo's cloud API and returns download links. Before installing: 1) Confirm you trust the endpoint (mega-api-prod.nemovideo.ai) and understand its privacy/billing policies — everything you send (prompts, uploaded files) will go to that service. 2) Know that supplying NEMO_TOKEN gives the skill access to your account/credits; if you prefer, use the anonymous-token flow (limited credits, 7-day expiry). 3) Ask the publisher for a homepage/source or privacy policy — the registry entry lacks a homepage and the owner is unknown. 4) Clarify the config path behavior (~/.config/nemovideo/) since the registry metadata didn’t declare it; if the skill will read/write local config, make sure you’re comfortable with that. If those points are acceptable, the skill is internally consistent with its stated purpose.
能力评估
Purpose & Capability
The skill claims to generate HD videos via a cloud API and its instructions exclusively call endpoints on mega-api-prod.nemovideo.ai and require a NEMO_TOKEN bearer token — this is coherent with the stated purpose.
Instruction Scope
Instructions confine actions to the remote video service (session creation, SSE chat, upload, export, polling). They instruct saving a session_id and not to print tokens. One inconsistency: the SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this suggests the skill might read or write a local config directory (reasonable for a client), but the registry should have declared it.
Install Mechanism
No install spec or code files — instruction-only skill. This is low-risk because nothing is downloaded or written by an installer step.
Credentials
Only one credential is required (NEMO_TOKEN), which is appropriate for an API-backed video service. The skill also supports obtaining an anonymous token via an API call if NEMO_TOKEN isn't set, so the env var may be optional in practice. Ensure you understand that providing NEMO_TOKEN grants this skill access to your account and billing/credits.
Persistence & Privilege
always:false and normal autonomous invocation. The skill asks to save a session_id (expected for long-running render jobs) but does not request elevated platform privileges or to modify other skills.
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 hd-free-video-generation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hd-free-video-generation 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
HD Free Video Generation — Initial Release - Generate 1080p HD video clips from short text prompts, fully in the cloud. - No software or export settings needed — upload, describe, and get your video in 1–2 minutes. - Free anonymous access with 100 credits valid for 7 days, handled via automatic API token retrieval. - Supports text-to-video, uploads, editing, credits checking, and export, with built-in error handling. - Clean, prompt-based workflow: just describe your scene or edit—no timeline required. - Outputs MP4 and other popular formats; handles prompts for overlays, aspect ratio, and audio tracks.
元数据
Slug hd-free-video-generation
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

Hd Free Video Generation 是什么?

Turn a short text description of a beach sunset scene into 1080p HD video clips just by typing what you need. Whether it's generating HD videos from text pro... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 87 次。

如何安装 Hd Free Video Generation?

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

Hd Free Video Generation 是免费的吗?

是的,Hd Free Video Generation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Hd Free Video Generation 支持哪些平台?

Hd Free Video Generation 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 Hd Free Video Generation?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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