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peand-rover

Influencer Video Skill

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install influencer-video-skill
Description
Get polished influencer clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say somethin...
README (SKILL.md)

Getting Started

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

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut the pauses, add captions, 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.

Influencer Video Skill — Edit and Export Creator Videos

This tool takes your raw video footage and runs AI content editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 60-second unedited phone recording and want to cut the pauses, add captions, and overlay background music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: vertical 9:16 video works perfectly for Reels and TikTok exports.

Matching Input to Actions

User prompts referencing influencer video skill, 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 influencer-video-skill
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.

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)

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

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

Common Workflows

Quick edit: Upload → "cut the pauses, add captions, and overlay background 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 "cut the pauses, add captions, and overlay background music" — 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 all social platforms.

Usage Guidance
This skill appears to do what it says: it uploads media to a third‑party cloud service and returns edited video files. Before installing, consider: - Trust and privacy: uploads (raw footage) will be sent to mega-api-prod.nemovideo.ai — verify you trust that domain and review its privacy/terms if your footage is sensitive. - Credential scope: NEMO_TOKEN is the only credential requested. Prefer using an anonymous or limited account rather than a personal account with broad permissions. The skill will auto-create a short-lived anonymous token if none is provided. - Metadata mismatch: SKILL.md references ~/.config/nemovideo/ in frontmatter but registry metadata did not list config paths — confirm whether the skill will read that directory (it could contain tokens or config). - Minimal filesystem access: the skill asks you to auto-detect an install path for the X-Skill-Platform header — that may involve checking where the agent is installed; ensure no other local files are accessed. If you cannot confirm the service/domain and the config-path behavior, treat this as untrusted and avoid uploading sensitive video until you verify the vendor and token scope.
Capability Analysis
Type: OpenClaw Skill Name: influencer-video-skill Version: 1.0.0 The influencer-video-skill is a legitimate integration for a cloud-based video editing service (mega-api-prod.nemovideo.ai). The SKILL.md provides clear instructions for the agent to handle authentication via anonymous tokens, manage user sessions, and interface with specific API endpoints for video processing and export. It includes appropriate security guidance for the agent, such as not exposing tokens or raw API output to the user, and its behaviors are strictly aligned with its stated purpose of video editing.
Capability Assessment
Purpose & Capability
Name/description, runtime instructions, and required credential (NEMO_TOKEN) align with a cloud video-editing service. However, SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that is not reflected in the registry summary; that mismatch should be resolved (either the skill will read a user config dir or it will not).
Instruction Scope
Instructions are specific to the described cloud render workflow (token check/creation, session creation, upload, SSE chat, export polling). They do not instruct the agent to read unrelated system files or to exfiltrate data unrelated to uploaded media. They do require the agent to detect an 'install path' for the X-Skill-Platform header, which implies some minimal filesystem/installation-path inspection but nothing else arbitrary.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — nothing is downloaded or written to disk by the skill itself, which is the lower-risk model.
Credentials
The skill declares a single required secret (NEMO_TOKEN), which is proportionate for a cloud editing service. Caveat: SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) which could contain credentials or settings; the registry metadata shown earlier listed no config paths. If the skill will read that path it increases sensitivity and should be explicitly documented. Also, anonymous-token creation via the service endpoint is allowed by the instructions — that will create a short-lived token on behalf of the agent if no NEMO_TOKEN is provided.
Persistence & Privilege
The skill is not always-enabled and uses default model-invocation behavior. It does not request permanent system presence or permission to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install influencer-video-skill
  3. After installation, invoke the skill by name or use /influencer-video-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Influencer Video Skill for streamlined creator video editing and export. - Upload raw footage (MP4, MOV, AVI, WebM up to 500MB), describe edits in plain language, and receive polished 1080p MP4s ready for sharing. - Automatic cloud backend setup with session and credit management—no manual config needed. - Supports editing commands like "cut pauses," "add captions," and "overlay background music" via keyword-driven actions. - Clear feedback and error handling for video uploads, editing, exporting, and credit usage.
Metadata
Slug influencer-video-skill
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Influencer Video Skill?

Get polished influencer clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say somethin... It is an AI Agent Skill for Claude Code / OpenClaw, with 44 downloads so far.

How do I install Influencer Video Skill?

Run "/install influencer-video-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Influencer Video Skill free?

Yes, Influencer Video Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Influencer Video Skill support?

Influencer Video Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Influencer Video Skill?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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