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Copywriter Video Online

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install copywriter-video-online
功能描述
Turn a 150-word product description paragraph into 1080p script-based videos just by typing what you need. Whether it's converting written copy into promotio...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert a 150-word product description paragraph into a 1080p MP4"
  • "turn this sales copy into a 60-second explainer video with voiceover and visuals"
  • "converting written copy into promotional or explainer videos for copywriters and marketers"

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.

Copywriter Video Online — Convert Copy Into Videos

Send me your script or brief and describe the result you want. The AI video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 150-word product description paragraph, type "turn this sales copy into a 60-second explainer video with voiceover and visuals", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter scripts under 200 words produce faster and more focused videos.

Matching Input to Actions

User prompts referencing copywriter video online, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is copywriter-video-online, 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.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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 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 → "turn this sales copy into a 60-second explainer video with voiceover and visuals" → 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 sales copy into a 60-second explainer video with voiceover and visuals" — concrete instructions get better results.

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

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

安全使用建议
This skill appears to do what it says (remote video rendering) and only needs a single service token, but exercise caution before installing or providing credentials: - Source provenance: The skill has no homepage or source repo listed. If you don't recognize the owner, treat the skill as untrusted until you can verify the API/domain (mega-api-prod.nemovideo.ai) is legitimate. - Token scope and storage: NEMO_TOKEN is the sole credential — it likely controls rendering, credits, and billing. Use a token dedicated to this service (don't reuse other sensitive credentials). Ask how and where the agent will store the token/session_id; the YAML mentions ~/.config/nemovideo/ which could persist tokens to disk. If you want ephemeral use, prefer the anonymous-token flow and avoid writing the token to disk. - Filesystem access: The skill implies detecting install paths (~/.clawhub/, ~/.cursor/skills/) and may read/write ~/.config/nemovideo/. Confirm whether the agent will actually read those paths and what it will store there. If you don't want disk access, restrict the agent's filesystem access or decline to set persistent tokens. - Privacy of uploads and outputs: Uploaded media and generated videos go to the remote API; check the service's privacy policy before sending sensitive content. Also verify whether generated download URLs are private or publicly accessible. If you cannot verify the domain or the maintainer, or you are uncomfortable with potential disk persistence of tokens/sessions, do not provide a persistent NEMO_TOKEN and prefer a short-lived anonymous token flow or avoid using the skill.
功能分析
Type: OpenClaw Skill Name: copywriter-video-online Version: 1.0.0 The skill bundle provides instructions for an AI agent to interface with a video generation service via the `nemovideo.ai` API. It includes standard procedures for anonymous authentication, session management, and processing video render tasks. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all network activity is directed to the service's legitimate backend (mega-api-prod.nemovideo.ai) as described in SKILL.md.
能力评估
Purpose & Capability
The skill is an instruction-only adapter for a remote video-rendering API and legitimately needs an API token (NEMO_TOKEN) and session management. However the SKILL.md's YAML metadata references a local config path (~/.config/nemovideo/) and automatic detection of the agent's install path for an attribution header; these items are not declared in the top-level Requirements section and are not strictly required to perform remote API calls, creating a small mismatch.
Instruction Scope
Runtime instructions are focused on API calls required to create sessions, upload media, and export rendered videos. They do not ask for arbitrary files or unrelated environment variables. Two scope caveats: (1) the skill tells the agent to detect its install path to set X-Skill-Platform (this implies reading local paths like ~/.clawhub/ or ~/.cursor/skills/), and (2) the metadata suggests a config path (~/.config/nemovideo/) which implies the skill might read or write files there. Both behaviors are outside strictly necessary API calls and should be made explicit before giving the skill disk or file-system access.
Install Mechanism
There is no install specification and no code files — this is instruction-only. That minimizes on-disk attack surface since nothing is downloaded or executed by the skill itself.
Credentials
Only one environment variable is required: NEMO_TOKEN (declared as primary). That is proportional to a service that authenticates API calls. However, the YAML also declares a configPaths entry (~/.config/nemovideo/) which the top-level manifest did not list; this suggests the skill may read or write local config files (session tokens, cached credentials). Confirm where session_id and tokens are stored before granting persistent credentials.
Persistence & Privilege
The skill does not request always:true and has no install steps, so it does not demand permanent platform-wide presence. The SKILL.md instructs to 'save session_id' and to reuse NEMO_TOKEN if present; the storage location is unspecified. This could lead to tokens or session IDs being cached on disk (e.g., under ~/.config/nemovideo/), which has implications for persistence and credential lifecycle.
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 copywriter-video-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /copywriter-video-online 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 public release of Copywriter Video Online — Convert Copy Into Videos. - Instantly converts 150-word product descriptions or sales copy into 1080p MP4 videos in 1–2 minutes - No manual editing or export settings required; fully AI-driven cloud rendering - Supports script upload, video generation, status checks, export/download, and credit balance features - Handles aspect ratio, text/audio tracks, and file uploads automatically via intent recognition - Designed for copywriters and marketers seeking fast promotional or explainer videos
元数据
Slug copywriter-video-online
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

Copywriter Video Online 是什么?

Turn a 150-word product description paragraph into 1080p script-based videos just by typing what you need. Whether it's converting written copy into promotio... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 83 次。

如何安装 Copywriter Video Online?

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

Copywriter Video Online 是免费的吗?

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

Copywriter Video Online 支持哪些平台?

Copywriter Video Online 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 Copywriter Video Online?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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