Monopoly Niche Finder

What it does

When your agent uses it

• : find my monopoly niche
• Blue ocean niche
• Niche intersection
• Where am I the only one

Example prompts

• “re the ONLY voice. Thiel”
• “competition is for losers”
• “find my monopoly niche”
• “/monopoly-niche-finder”

Requirements

• Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

6 steps, taken from the step headings in SKILL.md.

1. 1Identify Domains
2. 2Generate Intersection Niches
3. 3Validate with Data
4. 4Score and Rank
5. 5Deep Dive Top Niche
6. 6Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

  From compatibility in the SKILL.md frontmatter.

Context cost

Monopoly Niche Finder loads about 2.2k tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 743 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~120

When it runs · the whole SKILL.md, loaded when a task matches

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 743 words, ~2,231 tokens.

name

monopoly-niche-finder

description

Find intersection niches where you're the ONLY voice. Thiel's "competition is for losers" lens. Triggers on: "find my monopoly niche", "blue ocean niche", "unique niche", "niche intersection", "where am I the only one", "zero competition niche", "untapped niche", "category of one", "Thiel monopoly", "dominate a niche", "niche nobody else covers", "cross two domains", "find a niche with no competition", "monopoly positioning", "unique angle for affiliate".

compatibility

Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

license

MIT

version

1.0.0

tags

affiliate-marketing, research, niche-analysis, program-discovery, monopoly, blue-ocean

metadata.author

affitor

metadata.version

1.0

metadata.stage

S1-Research

domain_1: string              # OPTIONAL — first area of expertise/interest
                              # e.g., "real estate", "fitness", "accounting"
                              # Default: ask user

domain_2: string              # OPTIONAL — second area to cross with
                              # e.g., "AI tools", "no-code", "automation"
                              # Default: suggest options

existing_audience: string     # OPTIONAL — who already follows/reads you
                              # e.g., "small business owners", "developers"
                              # Default: none

monetization_goal: string     # OPTIONAL — "affiliate" | "info-product" | "both"
                              # Default: "affiliate"

output_schema_version: "1.0.0"
monopoly_niche:
  domain_1: string
  domain_2: string
  intersection: string          # The winning niche
  monopoly_score: number        # 1-100 composite
  competition_level: string     # "none" | "minimal" | "moderate" | "high"
  audience_size: string         # Estimated monthly search interest
  affiliate_programs: string[]  # Programs that fit this niche

niche_candidates:               # All evaluated niches
  - intersection: string
    score: number
    competition: string
    monetization: string

content_roadmap:
  ideal_reader: string
  first_topics: string[]        # First 3 content pieces
  total_topics: number          # How many topics mapped

chain_metadata:
  skill_slug: "monopoly-niche-finder"
  stage: "research"
  timestamp: string
  suggested_next:
    - "affiliate-program-search"
    - "niche-opportunity-finder"
    - "keyword-cluster-architect"
    - "category-designer"

## Monopoly Niche Analysis

### Your Domains
- Domain 1: [domain]
- Domain 2: [domain]

### Intersection Niches Evaluated

| # | Intersection | Monopoly | Monetization | Audience | Fit | Content | Score |
|---|---|---|---|---|---|---|---|
| 1 | [niche] | X/10 | X/10 | X/10 | X/10 | X/10 | XX/100 |
| 2 | ... | | | | | | |

### Winner: [Top Niche]

**Why this is a monopoly niche:**
[Explanation — why you can be the ONLY voice here]

**Competition check:**
[What exists today — and why it's not enough]

**Affiliate programs:**
[3-5 programs that fit, with commission data]

**Your ideal reader:**
[Persona description]

### Content Roadmap (first 3 pieces)
1. [Topic] — [why this first]
2. [Topic] — [builds on #1]
3. [Topic] — [establishes authority]

### Next Steps
- Run `affiliate-program-search` filtered to [niche] programs
- Run `keyword-cluster-architect` to map the full content opportunity
- Run `category-designer` to name and own your category

© Affitor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research/monopoly-niche-finder of Affitor/affiliate-skills.

Open the folder on GitHubat commit e43bfae