ai-video-generation
69Generate AI Videos with Inference.sh
AI video workflows can be hard to map across many model providers. This skill gives Claude, Codex, and Claude Code structured belt CLI examples for common video generation tasks.
Create AI Avatar and Talking-Head Videos
Producing presenter videos requires coordinated portrait, speech, and lip-sync tools. This skill guides inference.sh model selection and belt CLI workflows.
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Review the plan and obtain explicit user consent before changing files.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "ai-avatar-video" from https://skillstore.io/skills/skills-shell-ai-avatar-video.md and its manifest at https://skillstore.io/api/skills/skills-shell-ai-avatar-video/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "ai-avatar-video". Create a product walkthrough from my approved portrait and 30-second script.
Expected outcome:
Using "ai-avatar-video". Which model should animate two people from one image?
Expected outcome:
OmniHuman 1.5 is the documented multi-character option. Provide approved image and audio sources, then confirm before submitting the hosted job.
Using "ai-avatar-video". Plan a Spanish dub for an existing training video.
Expected outcome:
The skill legitimately invokes hosted inference models, so command blocks that run belt, redirect outputs, loop over jobs, or install packages are confirmed. Formatting-only backticks and placeholder or documentation URLs are false positives, while the remote image carries a minor privacy risk. The UGC workflow also encourages synthetic testimonials designed to appear authentic.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/skills-shell-ai-avatar-video/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/skills-shell-ai-avatar-video?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/skills-shell-ai-avatar-video?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/skills-shell-ai-avatar-video/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/skills-shell-ai-avatar-video.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>skills-shell. (2026). ai-avatar-video security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/skills-shell-ai-avatar-video/audits/5@techreport{skills-shell-skills-shell-ai-avatar-video-2026,
author = {skills-shell},
title = {ai-avatar-video security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/skills-shell-ai-avatar-video/audits/5},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ai-avatar-video security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "skills-shell"
date-released: "2026-09-07"
url: "https://skillstore.io/skills/skills-shell-ai-avatar-video/audits/5"
identifiers:
- type: other
value: "skillstore:skills-shell-ai-avatar-video:audit:5"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
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Turn approved instructor portraits and lesson scripts into consistent talking-head segments.
Transcribe, translate, synthesize speech, and lip-sync approved videos for another language.
Generate voiced avatar clips for original game characters and approved virtual presenters.
Create a 720p talking-head video from my approved portrait. Use this script: [script]. Ask before running any paid command.
Compare P-Video-Avatar, OmniHuman, Fabric, and PixVerse for [requirements]. Recommend one model and explain cost, speed, inputs, and limitations.
Plan a consented dubbing workflow for [video] from [source language] to [target language]. Confirm each external job before execution.
Design a batch workflow for [number] approved presenters. Estimate jobs and costs, require disclosure, validate inputs, and pause before all external commands.
Author
skills-shellLicense
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
b1ef80115e869b66867d4eac8e3c8dc56a393a8d
Maintenance freshness
9/7/2026
Usage
24 downloads ยท 0 views
File structure
๐ SKILL.md
Generate AI Videos with Inference.sh
AI video workflows can be hard to map across many model providers. This skill gives Claude, Codex, and Claude Code structured belt CLI examples for common video generation tasks.
Generate AI Images with Inference.sh
Image teams often compare many generators, prompts, and edit tools. This skill gives Claude, Codex, and Claude Code guided belt workflows for image creation and refinement.
Automate Twitter/X Account Actions
Teams need repeatable Twitter/X actions without manual API work. This skill provides belt CLI workflows for posts, media, engagement, messages, follows, and profile lookup.
Render Remotion Videos from React Code
Teams often need repeatable video renders without opening a video editor. This skill guides Claude, Codex, and Claude Code to render Remotion components as MP4 files through inference.sh.
Create Pose-Controlled Images and Videos
by doany-ai
Pose and motion control workflows can be hard to route across image and video models. This skill selects the right RunComfy path and prepares clear CLI guidance.
Generate and Edit AI Media with PonyFlash
by ponyflash
AI media work often spans separate generation, editing, and subtitle tools. PonyFlash combines SDK guidance with FFmpeg workflows for images, videos, speech, music, and exports.
Run RunComfy Models from the CLI
by runcomfy-com
Teams need a repeatable way to run RunComfy media models from scripts. This skill guides CLI install, authentication, model runs, polling, and downloads.
Generate Wan 2.7 Videos on RunComfy
by runcomfy-com
Teams need repeatable text-to-video prompts without guessing every RunComfy option. This skill gives Claude, Codex, and Claude Code a focused Wan 2.7 workflow for prompts, audio URLs, durations, aspect ratios, and outputs.
Animate Images with RunComfy Video Models
by runcomfy-com
Still images need the right model and prompt to become useful video clips. This skill routes image-to-video requests to RunComfy models with matching settings and examples.
Extend Videos with RunComfy
by runcomfy-com
Short generated clips often need more time, cleaner endings, or connected story beats. This skill helps Claude, Codex, and Claude Code extend approved videos with RunComfy.