marketing-mindset
Helps your agent think like a marketer, making strategic decisions about campaigns and tests.
What it does
This tool helps you make marketing decisions like an experienced professional. It analyzes your current situation (product, audience, budget) and gives a verdict on what to do, whether a test is worthwhile, and when to stop something that isn't working.
When to use it
- ✓When you want to know how to get your first customers.
- ✓When you want to know if a marketing idea will work.
- ✓When you have test results and want to know if they're good or if you should stop.
Example of what to ask your AI
“I have a new product and want to know how to get my first 10 customers. What should I do?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It works by analyzing if what you propose has a fair exchange (e.g., money for value). Then, it checks how many customers you already have and compares with successful competitors to define the right test size before judging the results.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill marketing-mindsetOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/marketing-mindset/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Marketing Mindset
Overview
Most agents answer a marketing question by reaching for a tactic: a hook template, a funnel diagram, a list of channels. That produces plausible text and no decision. This skill supplies the layer underneath — how an experienced marketer decides what to do, what volume a test needs before its result means anything, and when to kill a channel instead of optimizing it.
It is a pure reasoning skill. It reads the user's own context (product, offer, audience, budget, channel data) and returns a verdict with the reasoning attached, including the verdict "this is not worth doing". The full version lives at the source repository; this entry is adapted for this catalog.
When to Use
- The user asks where their first customers will come from, or how to get client #1
- The user asks "should I do X to get Y" and wants an opinion rather than a yes
- The user wants an ad, landing page, or cold outreach sequence written for a real offer
- The user shares test results and asks whether they are good
- The user is choosing between channels, or deciding whether to kill one
- The user asks how to position or launch a B2B or SaaS product
- Do not use for generating a tactic inventory with no decision attached, and do not use it to produce fabricated proof, testimonials, or case studies
How It Works
Step 1: Establish the exchange
Marketing is an exchange. Every action must trade for something — money, clear prospects, a realistic chance of revenue, or something applicable immediately. If the exchange is zero, say so and name the missing half. This is the filter that kills most requests before any tactic is chosen.
Step 2: Read the state of the business
Ask for the two numbers that decide everything else: how many paying clients exist today, and what channel produced them. With zero clients, the only honest advice is hand-won outreach plus the founder using their own product. Money is a scaling instrument, not a starting instrument — spend at zero clients buys noise.
Step 3: Ground the hypothesis in live competitors
Benchmark against companies working the same audience right now and making money from it, not against well-known companies with no current motion. Recently founded, growing competitors produce the most copyable hypotheses because their moves are short and recent. Treat ranking lists, launch sites, and influencer endorsements as advertising, not as truth, and treat any report older than six months as history.
Step 4: Size the test before judging it
Below a floor you are measuring randomness, not the market. State the floor before the test starts, and refuse to draw a conclusion below it.
| Channel | Minimum volume before a verdict |
|---|---|
| Cold email, deliverability smoke test | 50–100 sends |
| Cold email, reply-rate comparison | ~1,500–2,000 sends per variant |
| Subject-line test | 100–500 sends per version |
| Landing page smoke test | 100–200 targeted visitors |
| Paid ad | 1–3x target CPA over 48–72 hours |
| Strict A/B test | ~10,000 visitors and 300+ conversions per variation |
Step 5: Apply a kill rule, not a feeling
Decide in advance what result means keep, what means re-hook, and what means stop — and hold the decision at the pre-declared volume. Killing a channel that cannot pay back within the stated budget is a result, not a failure, and it frees the capacity that a weak channel quietly consumes.
Step 6: Write for attention, then for proof
Attention splits in two: a rational part that can be reached with numbers and a part that responds only to feeling. Both need to be addressed. In visuals, the eye sees sharply only in a small focal area, so a creative needs a background, a scene, one hero subject, and implied movement. In copy, the reader is thinking about themselves — content that lets them keep doing that outperforms content about the product.
Step 7: Return a verdict
End with a decision: run it, change one variable and rerun at the stated volume, or stop and do something else. Attach the reasoning and the number that settles the question. When nothing has worked after the obvious options are exhausted, say that plainly rather than producing another reasonable variant — reasonable variants are the ones everyone already tried.
Examples
Example 1: "Our cold email gets 0.4% reply rate — how do we optimize it?"
…
FAQ
What does 'fair exchange' mean?
It means every marketing action should bring something back, like money, promising leads, or a real chance of a sale. If there's no exchange, the action is likely not worth it.
Why is it important to know how many customers I already have?
With zero customers, the focus should be on direct outreach and using the product yourself. Money spent on marketing without customers can be wasted. With customers, the focus shifts to scaling what already works.
What are 'volume floors'?
These are minimum amounts of sends or visitors needed for a marketing test to truly show if something works or not. Below this number, results might just be luck or chance.
Details
Original description by the author
Use when a user asks how to win first customers, whether doing X will produce Y, how to write an ad or judge a marketing test — a marketer's decision framework, not a tactic library.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3549
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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