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Found 14 Skills
When the user wants to improve deal documentation, CRM hygiene, or sales data structure. Also use when the user mentions "CRM," "deal notes," "opportunity management," "pipeline hygiene," "sales documentation," "deal tracking," "activity logging," or "forecast accuracy." For sales analytics, see sales-analytics. For sales playbooks, see sales-playbook-scaling.
When the user wants to analyze deal outcomes, conduct win/loss reviews, audit pipeline health, or improve deal inspection processes. Also use when the user mentions "win/loss analysis," "deal review," "pipeline audit," "why we lost," "deal inspection," "sales review," "forecast review," or "deal post-mortem." For ongoing deal documentation, see deal-documentation. For sales analytics, see sales-analytics.
When the user wants to set up, improve, or audit sales metrics and pipeline tracking. Also use when the user mentions "sales metrics," "pipeline tracking," "CRM setup," "sales dashboard," "activity tracking," "conversion tracking," "win rate," or "sales reporting." For testing sales approaches, see ab-test-setup.
Design a Qwilr deal room for complex multi-stakeholder B2B deals. Use when setting up a deal room, building a Qwilr deal room, creating a digital sales room, managing a multi-stakeholder deal, building buyer enablement content, creating a mutual action plan, or packaging an enterprise deal.
通过ASIN获取亚马逊商品详情，包括价格、标题、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query时触发此技能。即使用户未明确提及"Keepa"，只要其需求涉及获取一个或多个亚马逊ASIN的结构化商品数据，也应触发此技能。
Expert sales operations covering CRM management, sales analytics, territory planning, compensation design, and process optimization.
Periodic sales performance review composite. Aggregates ALL sales initiatives taken in a given period — outbound campaigns, inbound efforts, events, partnerships, content, referrals — and measures the impact of each on pipeline and revenue. Produces a team-presentable report covering initiative-level performance, cross-initiative comparisons, pipeline attribution, what's working, what's not, and where to invest next. Tool-agnostic — pulls data from any combination of CRM, outreach tools, and tracking systems.
Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
Seerfar Ozon 店铺商品搜索：按 Ozon 店铺（卖家）ID 拉取该店铺的商品列表，返回每个商品的近30天销量、价格、评分、重量、配送方式（FBO/FBS）、卖家类型（本土/跨境）、退货取消率，以及店铺近30天总销量。用于竞品店铺商品分析、店铺爆品挖掘、卖家商品结构拆解。当用户提到 Ozon 店铺商品、Ozon 卖家商品列表、竞品店铺分析、Ozon 店铺爆品、Ozon 卖家分析、Seerfar Ozon 店铺搜索、Ozon shop search, Ozon seller products, competitor shop analysis, Ozon store products 时触发此技能。即使用户未明确提到"Seerfar"，只要其意图是查看某 Ozon 店铺/卖家的商品与销量数据，也应触发此技能。
Эксперт Sales Ops. Используй для процессов продаж, CRM, forecasting и sales analytics.
Generate your Team Performance Dashboard from your La Growth Machine data: a head-of-sales cockpit that ranks each sender (rep) on reply rate, your success event (signups/meetings/deals) and conversion, surfaces hot leads going cold, and turns your best reps' campaigns into a coaching playbook for the rest. Pulls only YOUR live LGM data into one sortable all-KPI team table plus a value (€) layer, classifies real replies, and renders a live artifact. This is the PER-REP team view, not the per-campaign weekly-performance-advisor. Use when a head of sales, SDR manager, GTM engineer or RevOps wants per-member outbound stats, who converts best and why, which replies are unanswered, or what to clone across the team. Triggers on: 'stats by member', 'team performance dashboard', 'per-rep outbound', 'who converts best', 'weekly team performance', 'sales team cockpit', 'coach my SDRs', 'per-identity reply rate'. First run does a short setup (~10-15 min); later runs just rebuild. Maintained by La Growth Machine.
Instant sales analytics. Ask any performance question — emails, calls, meetings, tasks, opportunities, sequences, conversation intelligence — and get formatted tables with real Apollo data.