一键导入
animate-avatar
Generate animated videos from static avatar images using FAL AI. Create looping work and relax animations with Kling V2.6 Pro, LTX, or Veo models.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Generate animated videos from static avatar images using FAL AI. Create looping work and relax animations with Kling V2.6 Pro, LTX, or Veo models.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Eliminate AI-sounding patterns from any written output. Applies editorial rules synthesized from the best open-source anti-slop tools: banned phrases, structural pattern detection, false agency checks, and a scoring rubric. Use as a quality gate for ANY content — blog posts, social media, emails, documentation, marketing copy. Triggers on: "make it sound human", "less AI", "remove slop", "humanize this", "doesn't sound natural", "too AI", "rewrite naturally", or when reviewing any AI-generated text before publishing.
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
基于 SOC 职业分类
| name | animate-avatar |
| description | Generate animated videos from static avatar images using FAL AI. Create looping work and relax animations with Kling V2.6 Pro, LTX, or Veo models. |
| allowed-tools | Bash, Read, Write |
| env | ["FAL_KEY"] |
Generate animated videos from static avatar images for use in apps, websites, or social profiles.
This skill automates the process of:
Default Generation: Create 3 videos per avatar:
This 2:1 ratio of work-to-relax creates variety and humanizes characters.
| Model | Flag | Cost | Notes |
|---|---|---|---|
| Kling V2.6 Pro | --model kling | $0.07/sec ($0.35/5s video) | Default, best quality/cost |
| LTX-2-19B | --model ltx | ~$0.20/video | Cheaper for small res |
| Veo 3.1 | --model veo | $0.20/sec ($1.00/5s video) | Highest quality |
FAL_KEY environment variablebun .claude/skills/animate-avatar/scripts/animate-avatar.ts \
--avatar "avatar-name" \
--prompts "Character typing on keyboard,Character signing a document,Character drinking coffee"
| Parameter | Required | Default | Description |
|---|---|---|---|
--avatar | Yes | - | Avatar name or path to image |
--count | No | 3 | Number of videos to generate |
--prompts | No | Auto | Comma-separated motion prompts |
--model | No | kling | Model: kling, ltx, or veo |
--skip-optimize | No | false | Skip ffmpeg optimization |
Videos are:
| Property | Value |
|---|---|
| Resolution | 320x320 |
| Format | MP4 (H.264) |
| Duration | 5 seconds |
| Target Size | ~150-250 KB |