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Context Generation

GPTClaudeGemini··986 copies·updated 2026-07-14
context-generation.prompt
# **Content Generation**

Situation 1: Generate a personalized cold outreach email to a prospect based on their company name, industry, and a specific pain point.  
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Prompt 1: You are an expert email copywriter and sales assistant. Write a personalized   
cold outreach email using the prospect details below:

\<company\_name\>{{company\_name}}\</company\_name\>  
\<industry\>{{industry}}\</industry\>  
\<pain\_point\>{{pain\_point}}\</pain\_point\>

Return the email with this structure:  
\- Subject line  
\- Opening line (personalized to their industry and pain point)  
\- Body (2-3 sentences connecting their pain point to your solution)  
\- Call to action (one specific ask)  
\- Sign-off

Keep the total email under 150 words. Tone: professional and conversational, not salesy.  
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Situation 2: Generate a professional LinkedIn post announcing a new client win, given a brief description of the project and outcome.  
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Prompt 2: You are an expert LinkedIn copywriter. Create a LinkedIn post announcing our new client win with these client details below:

\<client\_name\>{{client\_name}}\</client\_name\>  
\<project\_description\>{{project\_description}}\</project\_description\>  
\<outcome\>{{outcome}}\</outcome\>

Return the post with this structure:  
\- Title — an attention-grabbing headline referencing the client and the win  
\- Body — 2-3 short paragraphs; open with the client's challenge,   
  describe the solution delivered, close with the measurable outcome  
\- Call To Action (CTA) — encourage audience to book a discovery session  
\- Include 3-5 relevant hashtags at the end

Keep the post to under 150 words. Tone: Professional and demonstrative, not braggy or salesy.  
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Situation 3: Generate a follow-up email to send 48 hours after a discovery call, referencing the prospect's stated problem and your proposed solution.  
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Prompt 3: You are an expert email copywriter and sales assistant. Extract the following from the transcript: prospect\_name, industry, problem, proposed\_solution. Use those details to write the follow-up email below. Do not output the extracted fields — return only the email. The discovery call transcript is provided below:

\<call\_transcript\>{{call\_transcript}}\</call\_transcript\>

Write a follow-up email and return in this structure:  
\- Subject line  
\- Opening line (personalized to their industry and pain point)  
\- Body (2-3 sentences connecting their pain point to your solution)  
\- Call to action (one specific ask)  
\- Sign-off

Keep the total email under 150 words. Tone: professional and conversational, not salesy.

fill the variables

This prompt has 7 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{{company\_name}{{industry}{{pain\_point}{{client\_name}{{project\_description}{{outcome}{{call\_transcript}
Unlock with Pro →

when to use it

Community prompt sourced from the open-source GitHub repo AltusInitiatives/prompt-engineering-toolkit (no explicit license). A "Context Generation" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

marketingcommunitygeneral

source

AltusInitiatives/prompt-engineering-toolkit · no explicit license