菜单
Research a prospect first, then draft personalized outreach. Uses web research by default and can be enhanced with enrichment/CRM/email connectors. Trigger with "draft outreach to [person/company]", "write cold email", or "reach out to [name]".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
| name | draft-outreach |
| description | Research a prospect first, then draft personalized outreach. Uses web research by default and can be enhanced with enrichment/CRM/email connectors. Trigger with "draft outreach to [person/company]", "write cold email", or "reach out to [name]". |
Research first, then draft. This skill never produces generic outreach.
| Connector | What It Adds |
|---|---|
| Enrichment | Verified email/phone and deeper background |
| CRM | Prior relationship history |
| Create draft in mailbox directly |
# Outreach Draft: [Name] @ [Company]
## Research Summary
- Target: [Role and company]
- Hook: [Specific signal]
- Goal: [Desired next action]
## Email Draft
To: [Email or note if unknown]
Subject: [Subject]
[Body text]
## Subject Alternatives
1. [Option]
2. [Option]
## LinkedIn Alternative
[Connection request + follow-up]