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NIUBI Skill (Monetization Insight Coach)

A business-analysis skill that pinpoints who actually pays and the lawful monetization move closest to real revenue for your product, service, audience, or open-source tool.

Marketing & SEOIntermediate★ 199⑂ 3AI score 9/10Last updated: Aug 2, 2026

What it does

  • Diagnoses the decisive bottleneck: reach, closing, delivery, retention, margin, repeat purchase, or permissions.
  • Clarifies the payer, the result they buy, the product, and the revenue event, then surfaces the single highest-value next action.
  • When key facts are unknown, it refuses industry stereotypes and instead gives conditional candidates ("if you can truly deliver X, test Y") plus a safe evidence-gathering step.
  • Separates user-reported / unverified / verified claims and never invents prices, customers, case studies, capacity, or results.
  • Across a long conversation it tracks state (payer, product, bottleneck, ruled-out assumptions) and only reports what actually changed instead of reprinting prior answers.
  • Pauses only the specific risky action when employment, IP, data, platform rules, cross-border, or earnings-claim issues appear, and offers a lawful alternative.

Who it's for

  • Indie hackers and solo operators with a built product but no sales
  • Early-stage teams deciding on pricing, or whether to keep building or stop
  • Creators with an audience but no monetization path
  • Open-source maintainers exploring commercialization

Examples

  1. "I get traffic but zero purchases" → it first checks whether observable reach actually happened, rather than jumping to copy rewrites.
  2. "What should I charge for consulting?" → builds a price argument from the outcome bought and the buyer's alternative cost, with no unanchored numbers.
  3. "I sent 50 cold emails and got no replies" → designs an attribution test that changes one variable instead of swapping audience, offer, and channel at once.
  4. "Go deeper" → advances to the highest-leverage unresolved layer (purchase trigger, offer boundary, margin) instead of repeating itself.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/nathanskill/niubiskill/HEAD/skills/niubiskill/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/niubiskill folder from the GitHub repo nathanskill/niubiskill into my ~/.claude/skills/niubiskill/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/nathanskill/niubiskill.git /tmp/niubiskill && mkdir -p ~/.claude/skills && cp -r /tmp/niubiskill/skills/niubiskill ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, Git Bash or WSL on Windows).
  2. Clone the repo: git clone https://github.com/nathanskill/niubiskill.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy the skill in: cp -r niubiskill/skills/niubiskill ~/.claude/skills/
  5. Verify the references/ folder (monetization-patterns.md, commercial-loop.md, examples.md, evidence-and-boundaries.md) came along.
  6. Restart Claude Code and ask something like "How should I monetize my side project?" — the skill triggers automatically.
  7. The instructions are written in Chinese; add "answer in English" to your prompt if you want English output.
View source on GitHub ↗License: Apache-2.0