hashtag-optimizer

Analyze hashtag performance data per platform, niche, and post type.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/teodorboev/socialai --skill hashtag-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hashtag-optimizer
Source: https://github.com/teodorboev/socialai/tree/main/.opencode/skills/hashtag-optimizer
Command: npx skills add https://github.com/teodorboev/socialai --skill hashtag-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill replaces manual, guesswork-based hashtag selection with a data-driven approach, ensuring optimal reach and engagement for social media content.

Core Features & Use Cases

  • Performance Analysis: Analyzes hashtag effectiveness across different platforms, niches, and content types.
  • Library Management: Builds and maintains ranked hashtag sets (discovery, niche, branded) tailored to specific client needs.
  • Dynamic Testing & Retirement: Continuously tests new hashtags and retires underperforming ones based on real data.
  • Use Case: A marketing manager can use this Skill to generate a set of highly effective hashtags for an upcoming product launch campaign, ensuring maximum visibility among the target audience.

Quick Start

Use the hashtag-optimizer skill to analyze hashtag performance for the 'socialai' organization.

Frequently Asked Questions about hashtag-optimizer

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

FAQPage Schema
How do I optimize my social media hashtags using performance data?

You can optimize social media hashtags by analyzing effectiveness data per platform, niche, and post type to build ranked hashtag sets for discovery, niche, and branded content. This replaces manual guesswork with a data-driven strategy.

Can I build separate hashtag sets for discovery and branded content?

Yes, you can build and maintain ranked hashtag sets tailored for discovery, niche, and branded content. This library management approach ensures your social media content targets the right audience segments effectively.

What is the best way to retire underperforming hashtags in a marketing campaign?

The best way to retire underperforming hashtags is through dynamic testing that continuously evaluates new hashtags against real performance data. This approach automatically retires ineffective ones to maintain optimal engagement.

Do I need analytics integration to analyze hashtag effectiveness?

Yes, analyzing hashtag effectiveness requires integration with analytics and trend data sources. This integration supplies the performance data needed to evaluate engagement across different platforms, niches, and content types.

Does hashtag optimization work across different social media platforms?

Yes, hashtag optimization works across different social media platforms by analyzing performance data specific to each platform. This ensures your content optimization strategy accounts for varying engagement metrics and audience behaviors.

Why should I use a data-driven hashtag strategy instead of manual selection?

A data-driven hashtag strategy ensures optimal reach and engagement by replacing guesswork-based selection with real performance analysis. This approach continuously tests and refines hashtag sets based on actual effectiveness data.