Dados e Análise

Esta skill oferece uma referência para o Lance v7, um formato open columnar lakehouse para IA multimodal, e seu workspace de crates Rust. Utilize-a para desenvolvimento direto com as crates Lance, incluindo a criação ou leitura de datasets, manifestos e arquivos .lance.

Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis. Use when the user provides won/lost customer domain lists and wants differential signals (website content, job listings, tech stack, maturity markers) to build account scoring models and prospecting criteria. Triggers: ICP analysis, niche signals, won vs lost analysis, differential signals, s

Use to prospect, enrich, qualify, and activate outbound — especially when users mention Deepline, CSV processing, lead/account/contact research, waterfall enrichment, email or LinkedIn lookup, personalization, scoring, or campaign activation. Route CSV-heavy and provider-driven requests here, then rely on linked sub-docs and provider playbooks for execution details. Providers: adyntel, ai_ark, api

Use when: 需要设计产品数据指标、规划数据埋点、建立数据监控体系、进行数据分析和趋势预测 Do NOT use when: 数据指标已明确、仅需简单统计无需指标体系

Resolve LinkedIn profile URLs from name + company with strict identity validation to avoid false positives.

Send feedback or bug reports to the Deepline team, including session transcript and environment info.

Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound.

Build multi-step LLM reasoning chains in n8n using Groq, OpenAI, or Claude for structured data extraction, categorization, scoring, and analysis. Use this skill whenever the user wants to chain multiple LLM calls together in an n8n workflow — phrases like "extract entities then categorize", "multi-step LLM prompt", "chain_llm", "LLM pipeline", "classify and score", "entity extraction then enrichme

Make n8n workflows idempotent, resumable, and safe at scale using MySQL/Postgres checkpoint tables, batch processing patterns, duplicate prevention, and dynamic table creation. Use this skill whenever the user is building an n8n workflow that processes batches of data, handles webhooks, polls APIs, or runs on a schedule — phrases like "idempotent pipeline", "batch processing", "don't process dupli

Para trabalho GTM com Deepline SDK/CLI, use para gerenciar plays, encontrar e enriquecer dados de empresas/contatos, dimensionar TAMs, controlar gastos e exportar CSVs.

This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design".

Build a Total Addressable Market list by sourcing accounts and contacts from providers like Apollo, Crustdata, and PDL.