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Found 346 Skills
Fetch recent YouTube channel videos via RSS, filter out Shorts, get metadata and transcripts, AI-summarize, and upsert into a Notion database. Supports multiple channels. Triggers on "youtube channel summary", "channel summary to notion", "youtube rss to notion", "summarize youtube channel", "youtube channel notion sync".
List taxonomy labels in One Horizon (goals, companies, products, releases, components). Use when asked "show taxonomy", "find label IDs", or "tag this initiative". Requires One Horizon MCP.
List all tasks of the specified project
Use when the user wants to find prior work, checkpoints, or agent conversations by topic, repo, branch, author, or recent time window
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback时触发此技能。即使用户未明确说"评论"，只要其需求涉及读取、筛选或分析亚马逊商品的买家评论，也应触发此技能。
Filter Etsy products through the EHunt MCP tool `_ehunt_productQuery` (display name: "Etsy Product Query") by multiple dimensions (keywords/URL, price, sales volume, favorites, reviews, listing time, category, types like handmade/vintage, Pick/Bestsell/Raving, etc.). Trigger this skill when users mention EHunt Etsy products, Etsy listing, Etsy product selection, Etsy bestsellers, Etsy handmade, Etsy vintage, ehunt items, Etsy Product Query, or `_ehunt_productQuery`. Even if users don't mention EHunt, this skill should be triggered as long as they search for products on Etsy, check sales volume/price/tags, or filter products.
Use when the user wants to list, explore, or filter items on a Miro board (frames, sticky notes, cards, shapes, text, images, documents, embeds), or wants to discover what's on a board before diving in.
Test JSON SQL primitives with semantic-scholar output
Analyzes logs efficiently through targeted search and iterative refinement. Use when investigating errors, debugging incidents, or analyzing patterns in application logs.
Scan the codebase for potential secret leaks including API keys, tokens, passwords, hardcoded project IDs, and sensitive identifiers. Use when the user says "check for secrets", "scan for leaks", "security check", or before committing sensitive changes.
AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.
Retrieve or monitor logs from B2C Commerce instances with the b2c cli. Always reference when using the CLI to fetch logs, search log entries, filter by level/time, or tail logs in real-time. Also use when a user reports errors, broken functionality, or issues with controllers, script APIs, custom API backends, jobs, or other SFCC server-side components.