smsads-offer-finder

Rank affiliate offers by EC/1K, saturation, and payment terms for a vertical and market.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/cryptopafi/nexusos-skills --skill smsads-offer-finder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: smsads-offer-finder
Source: https://github.com/cryptopafi/nexusos-skills/tree/main/smsads-offer-finder
Command: npx skills add https://github.com/cryptopafi/nexusos-skills --skill smsads-offer-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps affiliate marketers and operations teams quickly identify and rank P2 affiliate offers for a given vertical and market, removing manual comparison and inconsistent metrics.

Core Features & Use Cases

  • Offer Ranking: Ranks offers by EC/1K, saturation, and payment terms across supported networks.
  • Robust Validation & Concurrency: Enforces strict input validation for verticals, markets, and network slugs and uses a filesystem lock to prevent concurrent runs and corrupted outputs.
  • Practical Use Case: Generate a ranked offers table and launch plan for a vertical like trading_forex in a market such as bolivia, optionally filtering by networks like clickdealer and mobidea.

Quick Start

Run smsads-offer-finder for vertical trading_forex and market bolivia while filtering networks clickdealer and mobidea.

Frequently Asked Questions about smsads-offer-finder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I rank affiliate offers by payout and saturation for a specific vertical?

The tool validates your vertical and market slugs, acquires a filesystem lock to prevent concurrent runs, executes the local offer_finder.py pipeline, and reads the ranked_md field from the JSON output.

Can I filter affiliate offer rankings by specific networks like clickdealer and mobidea?

The system enforces allowed network slugs during validation, ensuring only supported networks are included in the final ranked offers output.

What metrics are used to evaluate and compare P2 affiliate offers?

These metrics help remove manual comparison and inconsistent data, giving you a standardized ranking to identify the most profitable offers for your target market.

Does the offer finder support concurrent pipeline runs for multiple verticals?

This strict concurrency control means you must wait for the current offer_finder.py pipeline execution to complete before initiating another ranking task for a different vertical.

What format does the affiliate offer ranking output use?

This format allows for easy integration into launch planning documents and quick visualization of the top-performing offers for your selected vertical and market.

How do I start discovering affiliate offers for a market like bolivia?

The system will validate the inputs, execute the offer discovery pipeline, and return a ranked list of offers tailored to the bolivia market, complete with saturation and payment data.