Skills ai-video-editor-iphone

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 "$T/skills/bwbernardweston18/ai-video-editor-iphone" ~/.claude/skills/openclaw-skills-ai-video-editor-iphone && rm -rf "$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 "$T/skills/bwbernardweston18/ai-video-editor-iphone" ~/.openclaw/skills/openclaw-skills-ai-video-editor-iphone && rm -rf "$T"
manifest: skills/bwbernardweston18/ai-video-editor-iphone/SKILL.md
source content

Getting Started

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

Try saying:

  • "edit my raw footage"
  • "export 1080p MP4"
  • "trim the shaky parts, add transitions,"

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.

AI Video Editor iPhone — Edit iPhone Videos for Social

Drop your raw footage in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 60-second iPhone camera recording, ask for trim the shaky parts, add transitions, and export for Instagram, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — MOV files from iPhone upload directly without conversion.

Matching Input to Actions

User prompts referencing ai video editor iphone, 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.

Headers are derived from this file's YAML frontmatter.

X-Skill-Source
is
ai-video-editor-iphone
,
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 <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)

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 → "trim the shaky parts, add transitions, and export for Instagram" → 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 the shaky parts, add transitions, and export for Instagram" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.