5 working prompts for business, marketing, sales, coding, and research. Copy and adapt to your context.
A Cold Email Without a Template
Sales
Prepares an individual cold email with a concrete reason for reaching out.
Write a cold email.
Hard rules:
- ≤90 words
- The first line — a concrete reason for reaching out to this specific person (not "I noticed you're CEO of...")
- One sentence about us
- One sentence about relevance
- One subtle CTA with a concrete time window or a concrete next step
- No words "synergy", "leverage", "circle back"
- A short signature
Input:
- Recipient and context: <…>
- Our product: <…>
- Relevance hypothesis: <…>
Example: One email = one person, not a mass blast.
Model: Claude / GPT·Difficulty: Beginner
#outreach#email
Discovery Call Plan
Sales
Prepares a discovery call structure using the MEDDIC / SPIN methodology.
Prepare a plan for a 30-minute discovery call with a lead.
Structure:
1. 2 min: context and agreement on the format
2. 5 min: the current situation (how they solve the task now)
3. 10 min: the pain and its cost (ask for concrete numbers)
4. 5 min: decision criteria, the process, who else is involved
5. 5 min: timeline and budget
6. 3 min: the next step
Under each block — 2-3 good open questions via SPIN/MEDDIC.
Input:
- Lead: <…>
- What we're selling: <…>
Example: Prep for every discovery call in 5 minutes.
Model: Claude·Difficulty: Intermediate
#sales#discovery
Follow-up After a Meeting
Sales
Turns meeting notes into a follow-up email with next steps.
Write a follow-up email after a meeting.
It must contain:
- 1 line: thanks without fluff
- 3-5 bullets: what we heard
- 2-3 bullets: what we'll do on our side
- 1-2 bullets: what's needed from the client
- The date of the next step
Input (meeting notes):
<…>
Example: Turn raw notes into an email in 3 minutes.
Model: Claude / GPT·Difficulty: Beginner
#sales#email
ICP Mining on LinkedIn
Sales
Helps phrase a search string for Sales Navigator and ICP filters.
Help me build ICP filters for LinkedIn Sales Navigator.
Give:
- 5-7 boolean strings (with AND / OR) for the search
- At least 3 "trigger" indicators (recent events, hiring, investments, laws) — where to look for them
- 3-5 negative filters (companies we exclude)
- Alternative titles that mean the same role
Input:
- Segment: <…>
- What we're selling: <…>
Example: Build a targeted list before an outreach campaign.
Model: Claude / GPT·Difficulty: Intermediate
#linkedin#sales
Objection Handling
Sales
Gives 3 responses to an objection, each from a different angle.
I'm handling an objection from a client. Give 3 different responses.
Conditions:
- One response — via a question back
- One response — via a number or a fact
- One response — via acknowledging the risk
- No "I totally understand", "great question" at the start
Input:
- Objection: <…>
- Deal context: <…>
Example: Build an arsenal of responses to typical deal objections.