MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

marketing-mindset

marketing-mindset is an marketing AI skill with a core value of 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. It helps developers solve real-world problems in the marketing domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

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.

Last verified on: 2026-10-06

Quick Facts

Category marketing
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/marketing-mindset && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/marketing-mindset/SKILL.md -o ./skills/marketing-mindset/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# 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 th

🎯 Best For

  • QA engineers
  • Developers writing unit tests
  • Claude users
  • AI users

💡 Use Cases

  • Generating test cases for edge conditions
  • Writing integration test suites
  • Using marketing-mindset in daily workflow
  • Automating repetitive marketing tasks

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply marketing-mindset to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Does this generate test mocks?

Many testing skills include mock generation. Check the install command and skill content for details.

How do I install marketing-mindset?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/marketing-mindset/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Not testing edge cases

AI tends to generate happy-path tests. Manually review for boundary conditions.

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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