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Found 6,858 Skills
Own experiment evidence semantics: decide datasets, baselines, metrics, ablations, robustness tests, chart evidence, and exactly what rows or columns a result table should contain. Use for experiment design, benchmark planning, supplied-result evidence structure, result-table schema, chart-spec semantics, 设计实验, 对比实验, 消融, 结果表证据结构. Do not search literature as the main deliverable, visually beautify or render an already specified table/figure, improve layout/colors/readability, or invent results.
Use when auditing an existing product, app, or feature across all four Product Judgement scales: screen structure (Focal), multi-screen journeys (Compass), relationship value and retention (Flywheel), and memorable moments (Soul). Run for a holistic app audit, cross-scale critique, or prioritized UX review using a codebase, live product, prototype, Figma/Paper frames, screenshots, or a description. Prefer a codebase because it exposes behavior, state, and lifecycle context. Do not use for a single-screen, single-flow, or single-stage review; invoke the corresponding Skill instead, or for implementation, design-system analysis, visual styling, animation implementation, research, or analytics.
On-chain wallet leaderboard and Gem Hunter analysis on Binance Web3. Query top trader rankings by PnL, win rate, volume, trade count, or token count across BSC/Solana/Base/ETH. Analyze individual wallet addresses with a 6-dimension scoring model (winrate/stability/drawdown/ tags/pnl/follow_friendly) plus AI archetype overlay. Query Gem Hunter to find wallets holding specific tokens. Save and load preset filter conditions and Gem Hunter configs. Trigger whenever the user mentions leaderboard, top traders, wallet analysis, Address Analysis, AddressScore, Gem Hunter, or wants to evaluate a wallet's trading quality — even if they don't say "leaderboard" explicitly.
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style continuous motion, shapes that grow / move / rotate as the slide advances. Trigger on: 'morph', 'morph transition', 'smooth transition', 'continuous animation across slides', 'Keynote-style transition', 'animated slide sequence', 'shape continuity across slides'. Output is a single .pptx. This skill is a scene layer on top of officecli-pptx — inherits every pptx v2 rule (visual floor, grid, palettes, connector canon, Delivery Gate 1–5a). DO NOT invoke for a generic deck, pitch deck, or board review without cross-slide motion — route those to officecli-pptx base or officecli-pitch-deck.
Etsy category data. You can retrieve category names, ids, and parentIds, which are used as category identifiers for product/shop filtering. This skill is triggered when users mention Etsy categories, Etsy category id, Etsy category tree, Etsy category query, syncEtsyCategory, or category query. Even if users don't mention the tool name, this skill should be triggered as long as they are searching for category ids by keywords in the locally synchronized Etsy category database.
Retrieve the Chinese name, English name, and category ID of Temu categories from the locally synchronized Temu category data, which is used as the category ID for product/store filtering. Trigger this skill when the user mentions Temu category, Temu category id, Temu category tree, Temu backend category, Temu category, querying categories after syncTemuCategory (Temu Category Sync), or Temu category search. Even if the user does not mention the tool name, this skill should be triggered as long as they are looking for category IDs by keyword in the locally synchronized Temu category database.
Multi-reference Image to Video Tool: Generate videos based on multiple reference images and prompts. Supports models KLING (Keling), SEED (Doubao), SEED_FAST, HAPPY_HORSE (Bailian). It supports controls for duration, Pro mode, audio, aspect ratio, etc. Triggered when keywords such as "generate video", "multi-image video", "multiple images to video", "multi-reference image to video", "multi image video", "multiple images to video" are used.
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse search, niche metrics filter, low-competition niche, blue ocean niche, demographic-based selection, pain-point niche, price tier opportunity, sweet spot pricing, brand fragmentation时触发此技能。即使用户未明确说"反向选品"，只要其需求是按商业维度筛选符合条件的亚马逊赛道，也应触发此技能。
YouYing Shopee Product Selection Tool supports product query and filtering across all Shopee sites, covering 11 marketplaces including Malaysia, Taiwan (China), Indonesia, Thailand, Philippines, Singapore, Vietnam, Brazil, Mexico, Chile, and Colombia. This skill is triggered when users mention terms such as Shopee product selection, Shopee product search, Shopee bestsellers, Shopee market analysis, Shopee category selection, Shopee keyword-based selection, Shopee sales volume filtering, Shopee price filtering, Southeast Asian e-commerce product selection, as well as English terms like Shopee product search, Shopee product selection, Shopee bestsellers, Shopee market analysis. Even if users do not explicitly mention "YouYing" or "Shopee", this skill should be triggered as long as their needs involve searching for products or filtering Shopee product data on the Shopee platform.
AI Video Generation Tool (First/Last Frame/Single Image Mode) generates videos based on the original image and prompts, with optional last frame image support to control the ending scene. Supported models include KLING, WAN, SEED (Doubao), SEED_FAST, and HAILUO. Triggered when users use phrases like "generate video", "AI video", "image-to-video", "make a video", "video generation", "generate video", "image to video", "dynamic video".
Verify implementation parity against approved design specs with severity-based decisions and fix guidance. Use when implemented UI must be compared against approved specs before release or sign-off; do not use for backend data-model or deployment pipeline decisions.
Xiaohongshu Daily Viral Notes tracks daily trends across various fields on Xiaohongshu, monitors real-time popularity changes in different sectors, identifies emerging content directions, and predicts the next wave of viral traffic opportunities. Finally, based on the day's viral content, it extracts reusable topics, scripts, and presentation formats to generate creative inspiration. It supports category-based queries for daily popular notes, allowing users to search for the most popular Xiaohongshu notes of the day by categories such as beauty, fashion, food, etc., and quickly grasp the top content in each track.