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video-format-converter视频格式转换器

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

3,818

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164

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下载量

1,338
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-format-converter(视频格式转换器)
来源仓库:https://github.com/tk8544-b/video-format-converter
安装命令:
openclaw skills install video-format-converter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install video-format-converter

简介

按项目需求转换视频格式、分辨率或编解码器。

  • 解决跨平台兼容性与设备播放适配问题。
  • 告知目标参数,系统自动完成格式转换任务。
  • 支持常见视频容器与编码标准,确保输出质量稳定。
  • 安装方式:通过 clawhub 使用 openclaw skills install video-format-converter 命令。

SKILL.md

name
video-format-converter
version
1.0.0
displayName
Video Format Converter — Convert, Compress & Reformat Videos Instantly
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"]}, "primaryEnv": "NEMO_TOKEN"}}

Getting Started

Welcome! I'm your video format converter assistant — ready to help you convert, reformat, or compress any video file for any platform or purpose. Tell me what format you're working with and where you need to take it, and let's get started!

Try saying:

  • "Convert my MKV files to MP4 with H.264 encoding while keeping the original audio quality"
  • "What's the best format and bitrate settings to export a video for Instagram Reels without losing quality?"
  • "I need to batch convert a folder of MOV files to WebM for a web project — walk me through the fastest way to do it"

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.

Convert Any Video Format Without the Guesswork

Dealing with incompatible video formats is one of those problems that should have been solved a decade ago — yet here we are, still wrestling with codecs, containers, and bitrate settings every time a client sends the wrong file type. This skill exists to end that friction.

The video-format-converter skill lets you describe what you're starting with and where you need to end up. Say you've got a batch of MKV files that need to become H.264 MP4s for a streaming platform, or a ProRes master that needs a compressed H.265 version for archiving — just tell it what you need and get precise, actionable conversion instructions or automated workflows tailored to your setup.

This isn't a one-size-fits-all tool. It accounts for frame rate, aspect ratio, audio codec compatibility, container limitations, and platform-specific requirements like YouTube's preferred specs or Instagram's size caps. Whether you're converting a single clip or planning a large-scale format standardization project, this skill gives you clear steps and smart recommendations without the trial-and-error.

Routing Your Conversion Requests

When you submit a video conversion job, ClawHub parses your target format, codec preferences, and resolution parameters to route the request to the optimal processing pipeline.

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 Processing API Reference

Video Format Converter runs on a distributed cloud transcoding backend that handles container remuxing, codec re-encoding, and bitrate normalization in parallel across multiple nodes. Large files are chunked and processed concurrently, so even 4K source footage or high-bitrate MKV files move through the pipeline without bottlenecking.

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

  • X-Skill-Source: video-format-converter
  • 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.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

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

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.

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

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)

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

Integration Guide

The video-format-converter skill is designed to slot into the tools and workflows you're already using. If you're working with FFmpeg — the industry-standard command-line converter — this skill can generate precise, ready-to-run commands based on your input and output requirements, saving you from memorizing flag syntax.

For teams using Adobe Premiere, DaVinci Resolve, or Final Cut Pro, the skill can recommend export presets and codec settings that match your downstream delivery specs. It understands the difference between editing-friendly formats (like ProRes or DNxHD) and delivery formats (like H.264 or AV1), and will guide you toward the right choice for each stage of your pipeline.

Developers building media processing applications can use this skill to map out conversion logic, understand container and codec compatibility matrices, and troubleshoot format-related errors. Whether you're integrating FFmpeg into a Node.js backend or configuring a cloud media transcoding service, this skill provides the format knowledge layer your pipeline needs.

Common Workflows

One of the most frequent use cases is social media preparation — taking a high-resolution master file and converting it to platform-optimized versions for YouTube (H.264, up to 4K), TikTok (MP4, 9:16 aspect ratio), and LinkedIn (under 5GB, MP4 preferred) all from a single source file. This skill walks you through each platform's specs and flags anything your source file might be missing.

Another common workflow is archive conversion — taking older formats like AVI, WMV, or Flash video (FLV) and migrating them to modern, space-efficient containers like MKV with H.265 encoding. This can dramatically reduce storage costs while preserving visual quality.

For video editors, the proxy workflow is a recurring need: converting large RAW or 4K footage into lightweight proxy files for smooth editing, then relinking to the original high-res files at export. This skill can outline the exact conversion settings to create proxies that match your editing software's expectations and keep your timeline clean.

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.99%
按下载量换算1,284

安全审计

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需要联网

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安装前确认

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