Can it personalize messages based on company-specific context?

Yes, if your company context is available in the reference files, the skill will bridge the identified signal to your specific product value and positioning.

What outreach formats does this skill generate?

The skill simultaneously generates three formats: a structured email with a subject line, a conversational call script with a value bridge, and a concise LinkedIn message under 300 characters.

Does this skill require a Common Room account?

Yes, this skill relies on Common Room MCP tools to pull data like product activity, community engagement, and intent signals for personalization.

What happens if there is no data on a prospect in Common Room?

If internal signals are thin, the skill automatically performs a targeted web search for recent news, funding, or social posts to find an external hook. If no data is found, it will ask the user for context rather than fabricating signals.

Compose Outreach for Common Room

Name: Compose Outreach for Common Room
Author: anthropics

byanthropics

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11,566

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营销自动化

Generates personalized outreach across email, LinkedIn, and phone scripts using real-time Common Room engagement signals.

This skill automates the creation of high-conversion outreach messages by leveraging deep intent data from Common Room. It analyzes product activity, community engagement, and third-party signals to identify authentic 'hooks' for personalization. By generating three distinct formats—a tailored email, a natural call script, and a concise LinkedIn message—the skill ensures your communication is grounded in recent, relevant context. It even includes a fallback web search mechanism to find external news or funding announcements when internal signals are thin, ensuring no outreach is ever generic.

主要功能

01Real-time signal analysis from Common Room MCP tools

02Automated web search for external intent and news hooks

0311,566 GitHub stars

04Multi-channel output (Email, Call Script, LinkedIn)

05Persona-based tone calibration via Spark enrichment

06Strict 300-character enforcement for LinkedIn messages

使用场景

01Drafting community follow-ups based on specific forum activity

02Re-engaging trial users based on recent product usage patterns

03Personalizing sales prospecting for high-intent leads

主要功能

01Real-time signal analysis from Common Room MCP tools

02Automated web search for external intent and news hooks

0311,566 GitHub stars

04Multi-channel output (Email, Call Script, LinkedIn)

05Persona-based tone calibration via Spark enrichment

06Strict 300-character enforcement for LinkedIn messages

使用场景

01Drafting community follow-ups based on specific forum activity

02Re-engaging trial users based on recent product usage patterns

03Personalizing sales prospecting for high-intent leads