Total 51,080 skills, AI & Machine Learning has 8556 skills
Showing 12 of 8556 skills
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".
ERC-8004 on-chain agent validation management — request and respond to validations, and query validation status, summaries, and paginated lists by agent or validator.
Help users upload local files to Runway for use as inputs to generation models
Final retrospective and self-assessment for participants of Claude Code Lab. Runs four sequential interactive parts — progress audit, best prompt, monthly plan, and feedback — using AskUserQuestion. Triggers on "/lab-retro", "lab retrospective", "claude code lab final", or after completing the 6-week Claude Code Lab cohort.
dontbesilent Interactive Learning. Break down a topic into a sequential series of learning articles, adjusting the depth, perspective, and pace of the next article based on the user's feedback from the previous one. Triggers: /dbs-learning, /dbs-learn, /interactive-learning, "teach me a topic", "continue the next lesson", "generate the next lesson based on my feedback" Interactive learning workflow. Builds an adaptive sequence of learning articles based on user feedback. Trigger: /dbs-learning, /dbs-learn, "teach me a topic", "continue the next lesson"
Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.
Measure and improve the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For deployment, use agent-platform-deploy.
Use when running Claude Fable on codebase-heavy or token-heavy work and the user wants Fable to orchestrate research, coding, and testing while cheaper subagents do bounded heavy lifting.
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI 导购、对话式选品、自然语言购物、亚马逊聊天问答、Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions、产品推荐对话、上下文追问等场景时触发此技能。即使用户未明确提及"Alexa"，只要其需求是"在亚马逊前台用自然语言问出商品推荐"，也应触发此技能。
Temu 全球站电商广告 Ads API，经 LinkFox 网关转发 Partner Global Ads / 广告投放 相关 bg/temu 接口（广告计划、广告组、创意、报表、预算出价等，接口将按 Partner 文档逐条接入）。当用户提到 Temu Global 广告、Ads、广告投放、广告计划、广告组、创意、出价、预算、广告报表、ad campaign、product-inventory 广告 时触发。商品管理用 linkfox-temu-manage-product-global；促销用 linkfox-temu-promotion-global；订单用 linkfox-temu-order-global。