Skills free-video-tiktok

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 "$T/skills/bwbernardweston18/free-video-tiktok" ~/.claude/skills/openclaw-skills-free-video-tiktok && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bwbernardweston18/free-video-tiktok" ~/.openclaw/skills/openclaw-skills-free-video-tiktok && rm -rf "$T"
manifest: skills/bwbernardweston18/free-video-tiktok/SKILL.md
source content

Getting Started

Send me your raw video clips and I'll handle the AI TikTok video creation. Or just describe what you're after.

Try saying:

  • "create a 60-second vertical phone recording into a 1080p MP4"
  • "cut this into a 15-second TikTok with captions and transitions"
  • "generating short TikTok clips from longer recordings for TikTok creators"

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.

Free Video TikTok — Create and Export TikTok Videos

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

A quick example: upload a 60-second vertical phone recording, type "cut this into a 15-second TikTok with captions and transitions", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: vertical 9:16 aspect ratio works best for TikTok output.

Matching Input to Actions

User prompts referencing free video tiktok, 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
    :
    free-video-tiktok
  • X-Skill-Version
    : from frontmatter
    version
  • X-Skill-Platform
    : detect from install path (
    ~/.clawhub/
    clawhub
    ,
    ~/.cursor/skills/
    cursor
    , else
    unknown
    )

Include

Authorization: Bearer <NEMO_TOKEN>
and all attribution headers on every request — omitting them triggers a 402 on export.

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)

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

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 Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with
?bind=<id>
(get
<id>
from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate 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 "cut this into a 15-second TikTok with captions and transitions" — 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 with TikTok uploads.

Common Workflows

Quick edit: Upload → "cut this into a 15-second TikTok with captions and transitions" → Download MP4. Takes 30-60 seconds 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.