Total 58,115 skills
Showing 12 of 58115 skills
AI Image Generation Tool that generates images based on prompts and reference images. Supports multiple models (BANANA/BANANA_2/BANANA_PRO/GPT_2_IMAGE/AIDRAW_EDIT/WAN2_7/SEEDREAM5), with controllable resolution, aspect ratio, and output quantity. Triggered when users say phrases like "generate image", "AI drawing", "AI image generation", "help me draw", "image generation", "image generation", "generate image", "draw a picture", "make a picture", "image-to-image".
在给定关键词下拆解所有竞品 ASIN 的流量来源——自然搜索、SP 广告、SB 品牌广告、SBV 视频广告、SP 推荐、AC/ER/TR 等推荐位，支持按 ASIN 过滤、指定日期区间及新进流量词等筛选。当用户提到关键词流量来源、该关键词下哪些竞品在抢流量、自然流量与付费流量占比、SP广告曝光、品牌广告占比、SP推荐位、推荐位广告/非广告拆分、搜索展示分析、Amazon's Choice或编辑推荐曝光、关键词竞争格局、ASIN流量构成、keyword traffic, traffic structure analysis, search share, ad share, traffic source distribution, SIF, traffic analysis, SP recommendation, recommend position breakdown时触发此技能。即使用户未明确提及"SIF"，只要其需求涉及在某关键词下分析竞品 ASIN 的流量来源分布，也应触发此技能。
Shopee Top Picks (part of the same series as linkfox-shopee-store-auth), which forwards all 4 interfaces of the Shopee Open API Top Picks module via /shopee/developerProxy: get_top_picks_list, add_top_picks, update_top_picks, delete_top_picks. Triggered when the user mentions Shopee Top Picks, Top Picks, store featured items, add_top_picks, top_picks_id, or hot recommendations. It should also be triggered even if "featured" is not explicitly mentioned, as long as it involves the management of Top Picks collections for authorized Shopee stores.
按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential, competitive landscape, consumer behavior, pricing analysis, product selection report, niche analysis时触发此技能。即使用户未明确说"商业洞察"，只要其需求涉及对某个亚马逊关键词做全面的市场机会评估或综合性报告生成，也应触发此技能。
查询并分析Google Trends在指定时间范围和国家/地区的实时热门话题与热搜。当用户提到谷歌趋势、热门话题、实时热搜、流行趋势、当前热点、近期热门、病毒式话题、时间段热度、区域趋势分析、Google Trends, real-time hot topics, trending topics, popular trends, recent trending searches, trend discovery时触发此技能。即使用户未明确说"Google Trends"，只要其需求涉及发现特定市场近期热门或正在流行的话题和搜索词，也应触发此技能。
Take one or many customer-interview files you already have and extract the AJTBD structure from them — segments by Core Jobs, personas, Consideration Set, existing Solutions and Problems, value hypotheses — using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a folder or list of files: deep-interview transcripts, interview notes, sales-call or demo transcripts, support/chat logs, survey open-ends. The interviews may be AJTBD or not, well- or poorly-conducted, one file or dozens. The skill first asks which business task you're solving (and helps you choose if you can't name one), then reads each interview in its own subagent (a fan-out so it never overflows context, no matter how many large transcripts), extracts the Core Jobs with an honest per-interview confidence (a clean extraction vs. a weak hypothesis), gives per- interview feedback (what was pulled, what's missing, whether this interview can even serve your business task), clusters the extractions into segments by similar Core Jobs + similar success criteria + similar priority order, and computes each segment's confidence from the supporting interviews' confidence. Output — one report: a data-quality summary, segments by Core Jobs with personas and confidence, structured existing Solutions and Problems, a Consideration Set per segment, value-creation hypotheses, and a gap list of what to interview next. Use when the user says "analyze my interviews", "extract jobs from these transcripts", "I have customer interviews — find the segments", "what jobs are in these calls", "synthesize my interviews", or has interview/transcript files and wants the methodology pulled out of them. The post-fieldwork counterpart to /nmt-interview-guide. Two modes — Quick (default, no internet) and Deep (subagents + web to enrich competitors and the Consideration Set). Plain language; defaults to English.
EaseUI's actual design tokens, component library, and animation patterns extracted from the production codebase. Reference this when building UI within EaseUI or generating components that must match the EaseUI design language.
Diagnoses how rivalry, entrants, substitutes, buyers, and suppliers divide economic value within a defined industry. Use when assessing industry attractiveness, profit pressure, structural change, or structural positions with durable bargaining power.
Orchestrates recognized opportunity, research, market, customer, business-design, feasibility, economics, risk, and appraisal methods into a gated investment decision. Use for a complete go, conditional-go, pivot, stop, or not-ready product-opportunity assessment.
Downloads images, icons, and SVGs from Figma designs. Use when extracting visual assets from Figma for implementation.
Use when translating Figma, Sketch, or Adobe XD designs into Jetpack Compose code for Android.
AI Berkshire Skill: Q&A with Duan Yongping: Think in His Way. Source: skills/dyp-ask.md.