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claude-code

Skills tiktok-video-editor-job

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/tiktok-video-editor-job" ~/.claude/skills/clawdbot-skills-tiktok-video-editor-job && rm -rf "$T"
manifest: skills/bwbernardweston18/tiktok-video-editor-job/SKILL.md
source content

Getting Started

Ready when you are. Drop your raw video clips here or describe what you want to make.

Try saying:

  • "edit a 2-minute vertical phone recording into a 1080p MP4"
  • "cut to 30 seconds, add trending captions, sync to beat"
  • "editing and formatting videos for TikTok posting for TikTok 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: <uuid>
. 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.

TikTok Video Editor — Edit and Export TikTok Videos

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

A quick example: upload a 2-minute vertical phone recording, type "cut to 30 seconds, add trending captions, sync to beat", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: vertical 9:16 footage processes and exports best for TikTok feeds.

Matching Input to Actions

User prompts referencing tiktok video editor job, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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. Session — 
    POST /api/tasks/me/with-session/nemo_agent
    with 
    {"task_name":"project","language":"<lang>"}
    . 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. Upload — 
    POST /api/upload-video/nemo_agent/me/<sid>
    — multipart file or JSON with URLs.
  4. Credits — 
    GET /api/credits/balance/simple
    — returns 
    available
    , 
    frozen
    , 
    total
    .
  5. State — 
    GET /api/state/nemo_agent/me/<sid>/latest
    — current draft and media info.
  6. Export — 
    POST /api/render/proxy/lambda
    with render ID and draft JSON. Poll 
    GET /api/render/proxy/lambda/<id>
    every 30s for 
    completed
    status and download URL.

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

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source
    : 
    tiktok-video-editor-job
  • X-Skill-Version
    : from frontmatter 
    version
  • X-Skill-Platform
    : detect from install path (
    ~/.clawhub/
    → 
    clawhub
    , 
    ~/.cursor/skills/
    → 
    cursor
    , else 
    unknown
    )

All requests must include: 

Authorization: Bearer <NEMO_TOKEN>
, 
X-Skill-Source
, 
X-Skill-Version
, 
X-Skill-Platform
. Missing attribution headers will cause export to fail with 402.

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 saysYou 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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat
/ empty 
data:
Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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=<id>
    , 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 → "cut to 30 seconds, add trending captions, sync to beat" → 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 to 30 seconds, add trending captions, sync to beat" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for TikTok's best upload compatibility.