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Found 4,623 Skills
API2Cart integration. Manage data, records, and automate workflows. Use when the user wants to interact with API2Cart data.
Review generation strategy — Request a Review, follow-up emails, insert cards, Vine, early reviewer programs
PPC dayparting — bid scheduling by hour/day, peak shopping times, budget optimization by time slot
FBA inventory planning — restock timing, safety stock, IPI score optimization, stranded inventory recovery
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.
PostHog error tracking for Nuxt
MPSTATS Ozon 俄罗斯站按卖家 ID 下钻商品列表。返回该卖家下全部 SKU 的销量、销售额、价格、评分、库存、周转、损失销售额等完整指标，支持多维数值筛选、排序、货币换算。用于店铺结构分析、卖家爆款拆解、竞争对手店铺对标。当用户提到 Ozon 卖家商品、Ozon 店铺分析、Ozon 卖家下钻、Ozon 卖家 SKU、Ozon 店铺爆款、Ozon 竞争店铺、MPSTATS seller, Ozon seller drill-down, Ozon shop audit, Russian marketplace seller SKUs, Ozon store structure 时触发此技能。即使用户未明确说"MPSTATS"，只要意图是按 Ozon 卖家 ID 看该店铺下全部商品的销售表现，也应触发此技能。
通过EchoTik新品排行数据，发现TikTok Shop 16个区域市场的热门新品。当用户提到TikTok新品排行、TikTok热销商品、TikTok Shop爆品、短视频电商选品、TikTok新品发掘、跨境TikTok选品、TikTok new product rankings, TikTok bestsellers, short-video product selection, TikTok viral products, new product ranking, TikTok product trends时触发此技能。即使用户未明确提及"EchoTik"或"新品排行"，只要其需求涉及发现TikTok Shop上的热卖新品或新兴商品趋势，也应触发此技能。
Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.
Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.
Use when debugging a Nemo Gym run or reward profiling job. Covers rollout collection failures, empty or partial JSONL outputs, stale materialized inputs, verifier/schema errors, Ray or Slurm issues, vLLM readiness, judge failures, tool/sandbox failures, cache problems, and throughput bottlenecks.
PrestaShop integration. Manage data, records, and automate workflows. Use when the user wants to interact with PrestaShop data.