LinkedIn Post with Top Tips

The file

---
name: ai-optimized-linkedin-post-with-top-industry-tips
description: >-
  A LinkedIn post of practical tips on your topic, written in a short, scannable format that keeps readers to the end. Adapted from Daniel Disney.
  Task type: Create. Built for Sales.
  Use when the request sounds like "LinkedIn Post with Top Tips".
  Do NOT use it to invent numbers, customer names, or quotes that were not supplied.
license: MIT
metadata:
  author: The Revenue AI Report
  suite: Account Research and Targeting
  version: "1.0"
  source: https://www.therevenueaireport.com/prompts/ai-optimized-linkedin-post-with-top-industry-tips
---

# LinkedIn Post with Top Tips

A LinkedIn post of practical tips on your topic, written in a short, scannable format that keeps readers to the end. Adapted from Daniel Disney.

One job only: a LinkedIn post of practical tips on your topic, written in a short, scannable format that keeps readers to the end. Anything outside that job belongs in another file in the Account Research and Targeting suite.

## When to use this skill

- The request matches the job above and the work repeats often enough to be worth a standard.
- You have, or can ask for, the inputs listed below.
- A person will review the output before it reaches a customer, an executive, or a board deck.

## When not to use it

- The answer needs a number, a benchmark, or a quote nobody supplied. Ask for it instead of producing one.
- The task is a different job in the same suite. Open that file rather than stretching this one.
- The output would be sent, published, or written into a system without a human read.

## Inputs to collect first

- topic
- example
- post

Ask for anything missing before running. Do not fill a gap with a plausible guess.

## Process

1. Confirm the job, the audience, and the decision the output feeds.
2. Collect the inputs above. Name anything still missing out loud.
3. Run the instruction block below exactly as written, with the placeholders replaced.
4. Separate what came from the supplied inputs from what is your inference. Label the inference.
5. Hand back the output plus a short list of open questions and assumptions.

## Instruction block

Run this text with the placeholders filled in.

```text
You will be writing an engaging LinkedIn post sharing several top tips relevant to {$TOPIC}. The post should be formatted in a decreasing sentence structure, following the example provided below:

<example>
It's not easy in sales right now but there is A LOT of low hanging fruit that salespeople could be taking advantage of to sell more in 2025...

1 Qualify HARDER during prospecting

Too many salespeople waste time on prospects that will never close, time that could be spent on more qualified prospects that could close.

↳ Ask more questions.
↳ Dig deeper. 
↳ Know what your ICP is.

And finally don't be scared to say no. If they're not the right fit, don't waste their time and don't waste your own time.
</example>

Here are the steps to follow:

1. Begin with an engaging introduction that grabs the reader's attention and sets the context for the tips you will provide. This could be a thought-provoking statement, statistic, or question related to {$TOPIC}.

2. List your top tips, with each tip having:
- A main sentence stating the core idea
- Followed by 3-4 sub-points elaborating on that idea, formatted with the ↳ symbol

Order the tips from most to least important, with the most crucial tip listed as #1.

3. Conclude the post with a call-to-action, final thought, or motivational statement that encourages the reader to implement the tips you provided.

Throughout the post, write in a conversational yet professional tone suitable for a LinkedIn audience. Use examples, analogies, and storytelling elements to make your points more engaging and memorable.

When you have completed the LinkedIn post, wrap it in <post></post> tags.
You MUST make it 2500 characters long total
Before starting, you MUST ask the user clarifying questions before making the post
```

## Decision rules

- Supplied evidence beats inference. If the two disagree, say so and keep the evidence.
- Unknown is a valid answer. Write "unknown" rather than estimating.
- Keep one recommendation per output. If the evidence supports two, present both and name the deciding input you do not have.
- Match the reading level of a working operator. Short sentences. Explain any term the reader may not use daily.

## Quality checks

- Every number, name, date, and quote traces to an input the user supplied.
- No vendor claim is repeated as fact without naming the source.
- Assumptions are listed separately from findings.
- The output answers the original request and nothing else.
- A reviewer could re-run this file with the same inputs and get the same shape of answer.

## Guardrails

- Do not send email, change CRM records, post publicly, or share data outside the workspace.
- Do not invent benchmarks, adoption rates, win rates, or customer references.
- Flag anything that needs a human decision instead of deciding it.

## Source

- Prompt page: https://www.therevenueaireport.com/prompts/ai-optimized-linkedin-post-with-top-industry-tips
- Suite: https://www.therevenueaireport.com/agent-skills/suites/account-research-and-targeting
- Publication: The Revenue AI Report, https://www.therevenueaireport.com