功能描述

convert audio files into captioned video files with this skill. Works with MP3, WAV, M4A, AAC files up to 200MB. podcasters and content creators use it for t...

使用说明 (SKILL.md)

Getting Started

Share your audio files and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

"convert my audio files"
"export 1080p MP4"
"turn my audio into a video"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

Generate a UUID as client identifier
POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Audio to Video — Convert Audio into Captioned Videos

Name: Audio To Video
Author: whitejohnk-26

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

A quick example: upload a 3-minute podcast MP3 recording, type "turn my audio into a video with waveform visuals and captions", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: cleaner audio with less background noise produces more accurate auto-captions.

Matching Input to Actions

User prompts referencing audio to video, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
`/api/tasks/me/with-session/nemo_agent`	POST	Start a new editing session. Body: `{"task_name":"project","language":"\x3Clang>"}`. Returns `session_id`.
`/run_sse`	POST	Send a user message. Body includes `app_name`, `session_id`, `new_message`. Stream response with `Accept: text/event-stream`. Timeout: 15 min.
`/api/upload-video/nemo_agent/me/\x3Csid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/\x3Csid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}`. Poll status every 30s.

Accepted file types: 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: audio-to-video
X-Skill-Version: from frontmatter version
X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

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.

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

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my audio into a video with waveform visuals and captions" — concrete instructions get better results.

Max file size is 200MB. Stick to MP3, WAV, M4A, AAC for the smoothest experience.

Export as MP4 for widest compatibility across YouTube, Instagram, and TikTok.

Common Workflows

Quick edit: Upload → "turn my audio into a video with waveform visuals and captions" → 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.

安全使用建议

This skill appears to do what it says: it uploads audio to nemovideo.ai and returns captioned MP4s, using NEMO_TOKEN if provided or obtaining a short-lived anonymous token otherwise. Before installing/use: 1) Confirm you trust the nemovideo.ai domain and are comfortable uploading any audio you send (sensitive audio may be exposed to their servers). 2) If you don't want the skill to probe your home directory for install paths or config files, check how your agent enforces filesystem access — the SKILL.md asks the agent to detect install paths and may read its own frontmatter. 3) Note the small metadata mismatch (frontmatter lists a config path not present in registry metadata); ask the publisher to clarify whether the skill will read ~/.config/nemovideo/. 4) Prefer using a dedicated NEMO_TOKEN from an account you control; anonymous tokens are short-lived and limited. If you need more assurance, request the publisher's homepage or source and verify their privacy policy and API behavior before uploading sensitive content.

功能分析

Type: OpenClaw Skill Name: audio-to-video Version: 1.0.0 The audio-to-video skill is a legitimate integration for a cloud-based video processing service hosted at mega-api-prod.nemovideo.ai. It provides clear instructions for the agent to manage authentication, file uploads, and video rendering sessions. The skill's behavior, including the use of the NEMO_TOKEN and session-based API calls, is entirely consistent with its stated purpose of converting audio files into captioned videos.

能力评估

ℹ Purpose & Capability

Name/description match the actions in SKILL.md: uploading audio, creating render jobs, and returning MP4s. The only mismatch is metadata: the SKILL.md frontmatter references a config path (~/.config/nemovideo/) that the registry metadata did not list as a required config path — this is a minor inconsistency but not obviously malicious.

ℹ Instruction Scope

Instructions focus on connecting to a remote API, creating sessions, uploading files, streaming SSE, and exporting renders — all expected. The skill also instructs the agent to read its own frontmatter and detect an install path (e.g., ~/.clawhub/ or ~/.cursor/skills/) to set an X-Skill-Platform header; detecting install paths requires reading the agent's filesystem and is not strictly necessary for core functionality. Otherwise the runtime steps stay within the declared purpose.

✓ Install Mechanism

No install spec or code is included (instruction-only). This minimizes filesystem impact and is consistent with the stated cloud-based operation.

ℹ Credentials

The skill only declares a single credential (NEMO_TOKEN) as primary, which is appropriate for a third-party rendering API. It will create an anonymous token if none is present. The frontmatter's mention of a config path (~/.config/nemovideo/) is not reflected in the registry metadata — if the agent actually accesses that path, it would broaden local file access beyond just reading SKILL.md.

✓ Persistence & Privilege

always:false and no special privileges requested. The skill does not request permanent presence or modifications to other skills or system-wide settings.

版本历史

v1.0.0

audio-to-video v1.0.0 — Initial Release - Convert MP3, WAV, M4A, AAC audio files (up to 200MB) into 1080p captioned video files. - Cloud-powered rendering returns MP4s ready for social media in 1–2 minutes. - Automatic session/token workflow with free anonymous credits for new users. - Intuitive chat commands: upload, export, check credits, and refine video with text prompts. - Full support for auto-captions, waveform visuals, and multiple language GUI instructions.

元数据

Slug audio-to-video

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

Audio To Video 是什么？

convert audio files into captioned video files with this skill. Works with MP3, WAV, M4A, AAC files up to 200MB. podcasters and content creators use it for t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。

如何安装 Audio To Video？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install audio-to-video」即可一键安装，无需额外配置。

Audio To Video 是免费的吗？

是的，Audio To Video 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Audio To Video 支持哪些平台？

Audio To Video 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Audio To Video？

由 whitejohnk-26（@whitejohnk-26）开发并维护，当前版本 v1.0.0。

Audio To Video