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Karaoke Lyric Video Maker Free

v1.0.0

create audio files into karaoke lyric videos with this skill. Works with MP3, WAV, AAC, FLAC files up to 200MB. musicians, content creators, karaoke enthusia...

0· 96·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for vcarolxhberger/karaoke-lyric-video-maker-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Karaoke Lyric Video Maker Free" (vcarolxhberger/karaoke-lyric-video-maker-free) from ClawHub.
Skill page: https://clawhub.ai/vcarolxhberger/karaoke-lyric-video-maker-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install karaoke-lyric-video-maker-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install karaoke-lyric-video-maker-free
Security Scan
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medium confidence
Purpose & Capability
The skill's name/description (create synced lyric videos) matches the runtime behavior (upload audio, request renders, return download URL). Requesting a service token (NEMO_TOKEN) is expected. However the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that the registry metadata did not declare, creating an inconsistency about whether the skill will read local config files.
!
Instruction Scope
Instructions direct the agent to call external nemovideo.ai endpoints, accept user audio uploads, create session tokens, and persist a session_id — all expected. But the doc also tells the agent to detect an install path to set X-Skill-Platform (e.g., checking ~/.clawhub/ or ~/.cursor/skills/) and mentions a local config path in metadata. Those checks imply filesystem inspection not declared in the registry and are outside the minimal needs for a simple API client.
Install Mechanism
No install spec or code files — instruction-only skill. Lowest install risk (nothing written to disk by the skill itself).
Credentials
The only required environment credential is NEMO_TOKEN, which is proportionate to accessing the nemovideo API. However the embedded metadata's configPaths entry suggests the skill might read ~/.config/nemovideo/, which was not declared in the top-level registry fields — an unexplained extra access request.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It will create session state with the remote service (session_id) which is normal for this use case.
What to consider before installing
This skill appears to implement a client for an external service (nemovideo.ai) and needs a NEMO_TOKEN to operate; that is expected. Before installing: 1) Verify the skill publisher and service domain (mega-api-prod.nemovideo.ai) — source is listed as unknown here. 2) Confirm you are comfortable uploading audio files and any lyric files — they will be sent to the external API. 3) Ask the publisher why SKILL.md metadata lists a local config path (~/.config/nemovideo/) and why the agent must detect install paths — this implies filesystem access that wasn't declared in the top-level registry. 4) Only provide a token scoped to this service (avoid reusing high-privilege or cloud provider credentials). If the publisher/source is verified and they confirm the configPath/install-path checks are optional telemetry, the concerns would be resolved and this could be treated as coherent.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎤 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk970akjv8gsba70an16jbq8yb1859y71
96downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

Got audio files to work with? Send it over and tell me what you need — I'll take care of the lyric video generation.

Try saying:

  • "create a 3-minute MP3 song with a lyrics text file into a 1080p MP4"
  • "sync these lyrics to the audio and create a karaoke-style video with bouncing word highlights"
  • "creating karaoke videos with synced scrolling lyrics for songs for musicians, content creators, karaoke enthusiasts"

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.

Karaoke Lyric Video Maker Free — Create Synced Lyric Videos Free

Drop your audio files in the chat and tell me what you need. I'll handle the lyric video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute MP3 song with a lyrics text file, ask for sync these lyrics to the audio and create a karaoke-style video with bouncing word highlights, 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 — uploading a plain text file with timestamped lyrics speeds up sync accuracy significantly.

Matching Input to Actions

User prompts referencing karaoke lyric video maker free, 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. SessionPOST /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. UploadPOST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /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 karaoke-lyric-video-maker-free, 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).

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 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)

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

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.

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

Common Workflows

Quick edit: Upload → "sync these lyrics to the audio and create a karaoke-style video with bouncing word highlights" → 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 "sync these lyrics to the audio and create a karaoke-style video with bouncing word highlights" — concrete instructions get better results.

Max file size is 200MB. Stick to MP3, WAV, AAC, FLAC for the smoothest experience.

Export as MP4 with H.264 codec for the best playback compatibility across karaoke platforms.

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