Sourcing Outreach (Grade A)安全测试过的数据-AI技能，适用于Claude AI。A级。用户需要写出招募 outreach 消息来吸引被动候选人或要求推荐.

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审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Sourcing Outreach是一个用来写招募 outreach 消息吸引被动候选人或要求推荐的技能。它帮助用户批量制作个人化的消息，使用特定的框架和指南对于不同通道的通信，如LinkedIn InMails和寒冷的电子邮件。这个技能需要关于公司和候选人的上下文，并涉及研究候选人，选择 outreach 模板，起草一个消息，并创建一个 follow-up 追踪序列。目标是提高响应率，让 outreach 成为一种人类的语气而不是模板化。使用的framework是PRC，它包括个人化、相关性和 call-to-action 元素。此外，本技能还提供针对通道特有的 outreach 指令，例如LinkedIn InMails和寒冷的电子邮件。

主要功能

研究候选人的详细信息
选择 outreach 模板
起草个性化的消息
创建 follow-up 追踪序列
使用 PRC framework

价格

模型: Free
分类: 育言活动
评分: 暂无评价

使用场景

向被动候选人发送寒冷 outreach

为特定职位制作 outreach 消息

多点追踪follow-up追踪序列

通过追踪序列来提高响应率

优点 & 缺点

优点

提高响应率
批量制作个性化的消息
为 outreach 提供一个结构化的framework

缺点

需要关于公司和候选人的特定上下文
可能需要候选人背景的研究
需要被设计成不同通道

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问答

How do skills work together?

Every skill reads from startup-context first — your company's stage, product, market, team, and metrics. This shared context means skills produce output tailored to your specific startup, not generic advice. See each skill's Related Skills section for the full dependency map.

Asked by Elif Yildiz · Mar 28, 2026

Who is this for?

Solo technical founders building an MVP who also need to fundraise, sell, hire, and market — without a team to delegate to. First-time founders who know how to code but haven't written a pitch deck, cold email, or job description before. Small founding teams (2-3 people) wearing multiple hats and needing to move fast across every function. Technical co-founders who handle product and engineering but now need to step into sales, recruiting, or investor conversations. If you're at a company with a VP of Sales, a Head of Marketing, and in-house counsel — you probably don't need this. These skills are for founders who are the sales team, the marketing team, and the legal team, all at once.

Asked by Zelda Brandt · Mar 3, 2026

What are skills?

Skills are markdown files that give AI agents specialized knowledge and workflows for specific tasks. When you add these to your project, your agent can recognize what you're working on and apply the right frameworks, templates, and best practices — so you get founder-grade output, not generic AI slop.

Asked by Odalys Reyes · Mar 5, 2026