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niche-opportunity-finder

Find untapped affiliate niches with real earning potential.

Skill by affitor

IndexedMIT★ 742
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/affitor-niche-opportunity-finder

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Find untapped affiliate niches with real earning potential. Use this skill when the user asks about picking a niche, finding a niche to start affiliate marketing, what niche to get into, niche research, niche ideas, beginner niche selection, low competition niches, profitable niches, or says "I don't know what to promote", "help me pick a niche", "what niche should I start with", "find me a niche with less competition", "niche ideas for affiliate", "is X a good niche for affiliate marketing", "best niches 2024", "untapped niches".

Use cases: marketing, research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/niche-opportunity-finder

What's inside

Skill name
niche-opportunity-finder
Description
Find untapped affiliate niches with real earning potential. Use this skill when the user asks about picking a niche, finding a niche to start affiliate marketing, what niche to get into, niche research, niche ideas, beginner niche selection, low competition niches, profitable niches, or says "I don't know what to promote", "help me pick a niche", "what niche should I start with", "find me a niche with less competition", "niche ideas for affiliate", "is X a good niche for affiliate marketing", "best niches 2024", "untapped niches".
License
MIT
Compatibility
Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
Metadata
stage: S1-Research · author: affitor · version: 1.0
Instructions
246 lines in SKILL.md · view on GitHub

Files (2)

  • LICENSE.txt
  • SKILL.md

SKILL.md (first lines)

# Niche Opportunity Finder

Analyze search demand, competition, and available affiliate programs to surface
untapped niches worth entering. Outputs a scored shortlist with clear reasoning
so beginners can start promoting in under an hour.

## Stage

This skill belongs to Stage S1: Research

## When to Use

- User is new to affiliate marketing and has no niche
- User is unhappy with their current niche and wants alternatives
- User wants to validate a niche idea before investing time
- User asks which niches are trending or low-competition
- User wants to find niches underserved by existing affiliates

## Input Schema

```
{
  interests: string[]       # (optional) Topics user already knows or cares about
  audience: string          # (optional) Who they plan to reach — "beginners", "professionals", "parents"
  platform: string          # (optional) Where they'll publish — "blog", "tiktok", "youtube", "linkedin"
  budget: string            # (optional) "zero" | "low ($0-50/mo)" | "medium ($50-200/mo)"
  goal: string              # (optional) "first $100" | "side income $1k/mo" | "full-time income"
  avoid: string[]           # (optional) Niches or topics to exclude
}
```

## Workflow

### Step 1: Understand the User's Situation

Ask (if not already clear from context):
1. Any topics you already know well or are curious about?
2. Where will you publish content? (blog, TikTok, YouTube, newsletter...)
3. What's your income goal in the first 6 months?

If user says "just find me something" → default to: AI/SaaS tools, YouTube or blog,
goal = first $500/mo.

### Step 2: Generate Niche Candidates

Produce 8-12 niche candidates across 3 tiers:

**Tier A — Trending (high demand, growing fast):**
Use `web_search "fastest growing affiliate niches [current year]"` and
`web_search "trending affiliate programs [current year]"` to find niches with
momentum. Look for: AI tools, health tech, fintech, remote work tools, creator economy.

**Tier B — Evergreen (stable demand, proven programs):**
Always-on niches: personal finance, web hosting, email marketing, SEO tools,
fitness/wellness, online education, cybersecurity.

**Tier C — Micro-niches (narrow, low competition, high intent):**
Examples: AI tools for lawyers, budgeting apps for freelancers, SEO for Shopify
stores, productivity tools for ADHD. These are combinations of a vertical + a job
or persona. Use `web_search "[vertical] affiliate programs [persona]"` to discover.

### Step 3: Score Each Niche

Score each candidate on 4 dimensions (1-10 scale each):

| Dimension | Weight | How to Assess |
|-----------|--------|---------------|
| Search Demand | 30% | `web_search "[niche] how to" — look at result count and autosuggest depth |
| Program Availability | 30% | Search openaffiliate.dev (`GET /api/programs?q=[niche]`) or `web_search "[niche] affiliate programs"` — count quality programs |
| Competition Level | 25% | Search "[niche] best tools" — how saturated is the top 10? Fewer exact-match affiliate sites = less competition. Score 10 = very low competition |
| Content Potential | 15% | Can tutorials, comparisons, listicles, and reviews be made for this niche easily? |

**Overall score** = weighted average. Cut anything below 5.5.

Verdict: 7.5+ = "High Opportunity" / 5.5-7.4 = "Worth Testing" / <5.5 = "Saturated/Skip"

### Step 4: Validate Top 3 Niches on openaffiliate.dev

For the top 3 niches, query `GET https://openaffiliate.dev/api/programs?q=[niche]&utm_source=affiliate-skills`
(see `affiliate-program-search/references/openaffiliate-api.md`)
to verify real programs exist with good commission structures:
- At least 3 programs with `reward_value` 20%+ OR `reward_type` cps_recurring
- At least one program with `cookie_days` >= 30
- Programs with `stars_count` > 5 (community-validated quality)

If a niche scores well on demand but has no programs on openaffiliate.dev, use
`web_search "[niche] affiliate program signup"` to verify alternatives exist.

### Step 5: Build the Opportunity Brief

For the top-ranked niche, produce a one-page opportunity brief (see Output Format).
For runner-up niches, produce summary cards only.

### Step 6: Recommend Next Steps

Map user's chosen niche to the affiliate funnel:
1. Use `affiliate-program-search` to find the best specific program in this niche
2. Use `tiktok-script-writer` or `twitter-thread-writer` for first content
3. Use `commission-calculator` to project first 90 days of income

### Step 7: Self-Validation

Before presenting output, verify:

- [ ] Search demand backed by data (autosuggest depth, result count)
- [ ] Top niche has ≥3 programs with 20%+ commission on openaffiliate.dev
- [ ] Competition score reflects actual top-10 SERP analysis
- [ ] Content angles are specific and actionable, not generic

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

## Output Schema

```
{
  output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
  top_niche: {
    name: string              # "AI Productivity Tools"
    tier: string              # "Trending" | "Evergreen" | "Micro-niche"

From Affitor/affiliate-skills, MIT.

More from Affitor/affiliate-skills

Signals

Stars
742
Forks
212
Open issues
2
Last commit (this folder)
Sep 5, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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niche-opportunity-finder skill. Agent Mart. https://agentmart.dev/skills/affitor-niche-opportunity-finder (last updated 2026-10-24)