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How To Become Content Creator

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install how-to-become-content-creator
功能描述
Turn a 2-minute screen recording of your first tutorial into 1080p polished creator videos just by typing what you need. Whether it's turning raw beginner fo...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create my raw video clips"
  • "export 1080p MP4"
  • "trim pauses, add intro text, and"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

How to Become a Content Creator — Create and Export Creator Videos

Send me your raw video clips and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute screen recording of your first tutorial, type "trim pauses, add intro text, and export as a YouTube-ready video", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: start with short 60-90 second videos — they process faster and perform better on new channels.

Matching Input to Actions

User prompts referencing how to become content creator, 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 how-to-become-content-creator, 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).

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.

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 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)

Common Workflows

Quick edit: Upload → "trim pauses, add intro text, and export as a YouTube-ready video" → 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 "trim pauses, add intro text, and export as a YouTube-ready video" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across YouTube, TikTok, and Instagram.

安全使用建议
This looks coherent for a cloud video-editing skill. Before installing or using it, confirm you trust the NemoVideo backend, protect NEMO_TOKEN, and avoid uploading private screen recordings or sensitive media unless you are comfortable with remote processing.
功能分析
Type: OpenClaw Skill Name: how-to-become-content-creator Version: 1.0.0 The skill is a legitimate integration for an AI video editing service (nemovideo.ai). It provides instructions for the agent to handle authentication, session management, and file uploads to a cloud GPU rendering pipeline. There is no evidence of data exfiltration, malicious execution, or deceptive prompt injection; the instructions even include security-conscious directives to avoid exposing raw tokens or API outputs to the user.
能力评估
Purpose & Capability
The stated purpose of video editing/export matches the described cloud upload, editing, state, credits, and render endpoints. The main user-facing risk is that media is processed remotely.
Instruction Scope
Instructions are scoped to setting up a NemoVideo session, uploading user-provided files, editing via SSE, checking status/credits, and exporting. First-use connection setup is automatic but disclosed.
Install Mechanism
There is no install spec and no code files, reducing local execution risk. However, the registry lists the source as unknown and no homepage is provided, so users have limited provenance information for the cloud service.
Credentials
Use of NEMO_TOKEN and remote API calls is proportionate for a cloud video editor, but the token authenticates requests and should be treated as a credential.
Persistence & Privilege
The visible artifacts describe temporary sessions and a 7-day anonymous token, with no evidence of background persistence or local privilege escalation. The frontmatter references a NemoVideo config path, so users should confirm where any token/session data is stored.
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-become-content-creator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /how-to-become-content-creator 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 of How to Become a Content Creator — Create and Export Creator Videos. - Instantly convert raw screen recordings into polished 1080p creator videos powered by cloud AI. - Simple prompt-driven editing: upload video clips, describe the output, and get results in minutes—no timeline or manual exports needed. - Automated setup with instant NEMO_TOKEN retrieval and secure cloud session management. - Supports quick edits, batch workflows, and iterative previews with project state tracking. - Error handling ensures smooth authentication, credit management, and export troubleshooting. - Wide media file support including mp4, mov, avi, webm, images, and audio. All exports are optimized for social platforms.
元数据
Slug how-to-become-content-creator
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 Become Content Creator 是什么?

Turn a 2-minute screen recording of your first tutorial into 1080p polished creator videos just by typing what you need. Whether it's turning raw beginner fo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 58 次。

如何安装 How To Become Content Creator?

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

How To Become Content Creator 是免费的吗?

是的,How To Become Content Creator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

How To Become Content Creator 支持哪些平台?

How To Become Content Creator 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 Become Content Creator?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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