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Ai Spokesperson Video

核心功能:根据脚本或需求描述,生成带逼真AI代言人的专业解说视频,支持定制头像风格、语气、语言及时长。典型场景涵盖产品推广、员工入职培训、跨区域营销、课程教学等。输入可为完整脚本或主题/受众/语气描述,输出为可下载的高清视频,无需演员与拍摄场地,帮助营销人员、教育者、企业主快速批量产出视频内容。

udnerc
udnerc
热度 29.32
最近更新 2026-04-07 11:51:54
分类:创作依赖:第三方 API / 内部调用大模型应用场景:文案创作 / 社交媒体 / 教学辅导 / 品牌素材 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ai-spokesperson-video
Metadata
name
ai-spokesperson-video
version
5.0.1
displayName
AI Spokesperson Video — Create Realistic Talking-Head Videos with AI Avatars
description
Tell me what you need and I'll help you craft compelling ai-spokesperson-video content featuring lifelike AI avatars that speak your script. Whether you're producing product demos, corporate announcements, training materials, or marketing campaigns, this skill generates professional talking-head videos without cameras, actors, or studios. Choose from diverse AI presenters, customize tone and language, and deliver polished video content at scale — built for marketers, educators, and business owners who need a human face without the production overhead.
metadata
{"openclaw":{"emoji":"🎙️","requires":{"env":["NEMO_TOKEN"],"configPaths":["~/.config/nemovideo/"]},"primaryEnv":"NEMO_TOKEN","variant":"greeting_v2"}}

Getting Started

Send me your script or video brief and I'll generate a professional AI spokesperson video for you. No script yet? Just describe your topic, audience, and tone and I'll build from there.

Try saying:

  • "Create a 60-second AI spokesperson video for my SaaS product launch where the presenter explains the top three features in a confident, friendly tone"
  • "Generate a talking-head video script and avatar recommendation for an employee onboarding welcome message from our fictional CEO"
  • "I need an AI presenter video in Spanish for our Latin American marketing campaign — professional tone, female avatar, 90 seconds max"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Your Brand's Face, Powered by AI

Creating video content that feels personal and professional has traditionally required booking talent, renting studios, and managing post-production timelines. AI spokesperson video changes that equation entirely. With this skill, you can turn a written script into a fully produced talking-head video featuring a realistic AI presenter — in minutes, not days.

The skill is designed for anyone who needs a human presence in their video without the logistics of filming. Think product explainers, onboarding walkthroughs, social media announcements, or internal communications — all delivered by an AI avatar that speaks naturally, maintains eye contact, and conveys the right tone for your audience.

Whether you're a solo entrepreneur launching a new offer or a content team producing hundreds of videos per month, this tool scales with you. You control the script, the presenter style, and the message. The AI handles everything else — from lip-sync accuracy to natural gesture and pacing — so your audience gets a polished, trustworthy presentation every time.

Avatar Request Routing Logic

When you submit a spokesperson video request — including your script, avatar selection, voice, and background — the skill parses those parameters and routes them to the appropriate AI video rendering pipeline based on avatar type and output resolution.

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 Rendering API Reference

AI spokesperson videos are processed entirely in the cloud, where your script is lip-synced to your chosen avatar using neural rendering engines that handle voice cloning, facial animation, and video compositing at scale. Render jobs are queued and returned as a hosted video URL or downloadable MP4 once the pipeline completes.

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

  • X-Skill-Source: ai-spokesperson-video
  • 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

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.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You 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

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=<id> (get <id> 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

Common Workflows

The most frequent use case for AI spokesperson video is product marketing — specifically explainer videos where a presenter walks viewers through a feature, pricing tier, or use case. Users typically paste a landing page URL or bullet-point list and ask the skill to convert it into a presenter script, then generate avatar and scene recommendations.

Another high-volume workflow is internal communications. HR teams use this skill to produce consistent, professional onboarding videos, policy update announcements, and training module intros without scheduling filming time with executives or managers.

Educators and course creators rely on this skill to add a human face to lessons that would otherwise be screen recordings or slide decks. A talking AI presenter improves viewer retention and gives the course a more polished, credible feel.

Finally, agencies use the AI spokesperson video skill to prototype video campaigns for clients before committing to live production — validating messaging and tone with a realistic avatar stand-in before any budget is spent on real talent.

Integration Guide

Getting your AI spokesperson video from concept to published is straightforward. Start by providing your script directly in the chat — paste it in full or describe the key message points and let the skill draft it for you. You can specify avatar preferences such as gender, age range, and presentation style (formal, conversational, energetic), along with language and accent if needed.

Once the video parameters are set, the skill generates a preview-ready output that you can review and refine. Adjust pacing, swap the avatar, or revise the script in follow-up messages before finalizing. Finished videos can be exported for use in landing pages, LMS platforms, email campaigns, YouTube, or internal communication tools like Slack and Notion embeds.

For teams with existing brand assets, you can describe your brand voice, color preferences for lower-thirds or backgrounds, and any specific visual framing — the skill incorporates these into its output guidance so your videos stay on-brand across every production.